---
title: "Personalized Generation In Large Model Era: A Survey (2025)"
description: "The authors build a modality-agnostic framework with three parts: Inputs: personalized contexts plus… 472 references, cited by 15 papers here."
authors: ["Yiyan Xu", "Jinghao Zhang", "Alireza Salemi", "Xinting Hu", "Wenjie Wang", "Fuli Feng", "Hamed Zamani", "Xiangnan He", "Tat-Seng Chua"]
year: 2025
venue: "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)"
source: "https://aclanthology.org/2025.acl-long.1201/"
doi: "10.18653/v1/2025.acl-long.1201"
licence: "CC BY 4.0 (ACL Anthology)"
licence_url: "https://creativecommons.org/licenses/by/4.0/"
summary_licence: "Elamur Cosmic License"
canonical: "https://research.elamur.ai/free/en/papers/xu-2025-personalized-generation-large-model-era/"
---
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# Personalized Generation In Large Model Era: A Survey

**Authors:** Yiyan Xu, [Jinghao Zhang](https://md.research.elamur.ai/free/en/authors/jinghao-zhang/), [Alireza Salemi](https://md.research.elamur.ai/free/en/authors/alireza-salemi/), Xinting Hu, [Wenjie Wang](https://md.research.elamur.ai/free/en/authors/wenjie-wang/), [Fuli Feng](https://md.research.elamur.ai/free/en/authors/fuli-feng/), [Hamed Zamani](https://md.research.elamur.ai/free/en/authors/hamed-zamani/), [Xiangnan He](https://md.research.elamur.ai/free/en/authors/xiangnan-he/) and [Tat-Seng Chua](https://md.research.elamur.ai/free/en/authors/tat-seng-chua/) · **Year:** 2025 · **Venue:** [Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)](https://md.research.elamur.ai/free/en/venues/acl/) ([ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/)) · **Publisher:** [Association for Computational Linguistics](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/) · **Licence:** [CC BY 4.0 (ACL Anthology)](https://creativecommons.org/licenses/by/4.0/)

**Links:** [Publisher's page](https://aclanthology.org/2025.acl-long.1201/) · [PDF](https://aclanthology.org/2025.acl-long.1201.pdf) · [DOI 10.18653/v1/2025.acl-long.1201](https://doi.org/10.18653/v1/2025.acl-long.1201) · [OpenAlex](https://openalex.org/W4412945169)

**Citations:** 9 citations (OpenAlex, 2026-10-14) · [15](https://md.research.elamur.ai/free/en/papers/xu-2025-personalized-generation-large-model-era/cited-by/) in our library, of the 149,439 papers whose bibliographies we read

## Summary
Work on generating content tailored to individual users has grown separately in NLP, computer vision and information retrieval. Earlier reviews each covered only one model family (LLMs, MLLMs, diffusion models) or one task, such as dialogue or role-playing. This ACL 2025 survey is presented as the first to treat Personalized Generation (PGen) as a single field that spans text, image, video, 3D, audio and cross-modal outputs.

The authors build a modality-agnostic framework with three parts:
- **Inputs:** personalized contexts plus multimodal user instructions.
- **Objectives:** three goals that hold across all modalities.
- **Workflow:** a user-modeling stage followed by a generative-modeling stage.

On top of this framework they organize the literature into a multi-level taxonomy by modality, type of user input and task. For each modality they also catalogue common datasets and metrics, and they discuss uses in content creation and content delivery.

The paper's main value is as a shared map. It lets researchers in different communities compare techniques and see open gaps. These gaps include evaluation designed specifically for personalization, management of user data over a lifetime, and privacy.

## Key points
- **Five kinds of personalized context:** user profiles, user documents, user behaviors, personal face/body, and personalized subjects (e.g., pets or owned items).
- **Three shared objectives:** high quality, instruction alignment, and personalization.
- **Workflow, user-modeling stage:** relies on representation learning, prompt engineering, and RAG.
- **Workflow, generative-modeling stage:** has three steps:
  - choosing a foundation model (LLMs, MLLMs or DMs);
  - adding a guidance mechanism, either instruction-based or structural (adapters, cross-attention);
  - selecting an optimization strategy: tuning-free, supervised fine-tuning/PEFT, or preference-based (DPO, RLHF).
- **Open problem, evaluation:** standard metrics such as BLEU and CLIP-I do not measure how well outputs match a user's preferences.
- **Open problem, multimodal personalization:** this remains underexplored, and unified models such as Show-o, Janus-Pro, BAGEL and GPT-4o are named as promising backbones.
- **Trustworthiness concerns:** privacy (on-device, federated learning, differential privacy), fairness and bias, and safety.

*Our summary of the paper, in our own words — not its text. The work belongs to its authors; read it at the links above.*

## Institutions

- [National University of Singapore](https://md.research.elamur.ai/free/en/universities/national-university-of-singapore/) — University, Singapore, Singapore · 207 works · 39,576 citations
- [University of Massachusetts Amherst](https://md.research.elamur.ai/free/en/universities/university-of-massachusetts-amherst/) — University, Amherst Center, United States · 114 works · 68,731 citations
- [University of Science and Technology of China](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) — University, Hefei, China · 145 works · 114,409 citations
- [Nanyang Technological University](https://md.research.elamur.ai/free/en/universities/nanyang-technological-university/) — University, Singapore, Singapore · 184 works · 27,484 citations
- [University of Chinese Academy of Sciences](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) — University, Beijing, China · 188 works · 8,743 citations

📚 Shelves (5): [🖥️ Computer Science](https://md.research.elamur.ai/free/en/shelves/computer-science/) · 18,614 works · [🤖 Artificial Intelligence](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · 17,965 works · [🎭 Arts and Humanities](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · 17,450 works · [🗣️ Language and Linguistics](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · 17,296 works · [🗄️ Information Systems](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · 1,730 works

## Cite

Cite as: Yiyan Xu, Jinghao Zhang, Alireza Salemi, Xinting Hu, Wenjie Wang, Fuli Feng, Hamed Zamani, Xiangnan He and Tat-Seng Chua. 2025. Personalized Generation In Large Model Era: A Survey. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

The paper itself, not this page. BibTeX from the library's record of the work.

```bibtex
@inproceedings{xu2025personalized,
  title = {{Personalized Generation In Large Model Era: A Survey}},
  author = {Yiyan Xu, Jinghao Zhang, Alireza Salemi, Xinting Hu, Wenjie Wang, Fuli Feng, Hamed Zamani, Xiangnan He and Tat-Seng Chua},
  booktitle = {Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  year = {2025},
  doi = {10.18653/v1/2025.acl-long.1201},
  url = {https://doi.org/10.18653/v1/2025.acl-long.1201}
}
```

- [← previous OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain](https://md.research.elamur.ai/free/en/papers/wang-2025-omnieval-omnidirectional-automatic-rag-evaluation/)
- [next → Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench](https://md.research.elamur.ai/free/en/papers/liu-2025-protecting-privacy-multimodal-large-language/)
- [↑ back to papers of 2025](https://md.research.elamur.ai/free/en/papers/2025/page/4/)

## References

472 references, 36 of them with a card of ours. ↗ leads to the work, «find» searches for one we have no id for yet.

1. Max Bain, Arsha Nagrani, Gül Varol, and Andrew Zisserman. 2021. Frozen in time: A joint video and image encoder for end-to-end retrieval. In Proceedings of the IEEE/CVF international conference on computer vision, pages 1728–1738. [find](https://scholar.google.com/scholar?q=Max+Bain%2C+Arsha+Nagrani%2C+G%C3%BCl+Varol%2C+and+Andrew+Zisserman%2E+2021%2E+Frozen+in+time%3A+A+joint+video+and+image+encoder+for+end%2Dto%2Dend+retrieval%2E+In+Proceedings+of+the+IEEE%2FCVF+international+conference+on+com)
2. Rameen Abdal, Hsin-Ying Lee, Peihao Zhu, Menglei Chai, Aliaksandr Siarohin, Peter Wonka, and Sergey Tulyakov. 2023. 3davatargan: Bridging domains for personalized editable avatars. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 4552–4562. [find](https://scholar.google.com/scholar?q=Rameen+Abdal%2C+Hsin%2DYing+Lee%2C+Peihao+Zhu%2C+Menglei+Chai%2C+Aliaksandr+Siarohin%2C+Peter+Wonka%2C+and+Sergey+Tulyakov%2E+2023%2E+3davatargan%3A+Bridging+domains+for+personalized+editable+avatars%2E+In+Proceedings+of+t)
3. Panos Achlioptas, Alexandros Benetatos, Iordanis Fo-stiropoulos, and Dimitris Skourtis. 2023. Stellar: Systematic evaluation of human-centric personalized text-to-image methods. arXiv preprint arXiv:2312.06116. — [arXiv:2312.06116](https://arxiv.org/abs/2312.06116) [find](https://scholar.google.com/scholar?q=Panos+Achlioptas%2C+Alexandros+Benetatos%2C+Iordanis+Fo%2Dstiropoulos%2C+and+Dimitris+Skourtis%2E+2023%2E+Stellar%3A+Systematic+evaluation+of+human%2Dcentric+personalized+text%2Dto%2Dimage+methods%2E+arXiv+preprint+arXiv%3A2)
4. Yuval Alaluf, Elad Richardson, Gal Metzer, and Daniel Cohen-Or. 2023. A neural space-time representation for text-to-image personalization. ACM Transactions on Graphics (TOG), 42(6):1–10. [find](https://scholar.google.com/scholar?q=Yuval+Alaluf%2C+Elad+Richardson%2C+Gal+Metzer%2C+and+Daniel+Cohen%2DOr%2E+2023%2E+A+neural+space%2Dtime+representation+for+text%2Dto%2Dimage+personalization%2E+ACM+Transactions+on+Graphics+%28TOG%29%2C+42%286%29%3A1%E2%80%9310%2E)
5. Yuval Alaluf, Elad Richardson, Sergey Tulyakov, Kfir Aberman, and Daniel Cohen-Or. 2025. Myvlm: Personalizing vlms for user-specific queries. In European Conference on Computer Vision, pages 73–91. Springer. [find](https://scholar.google.com/scholar?q=Yuval+Alaluf%2C+Elad+Richardson%2C+Sergey+Tulyakov%2C+Kfir+Aberman%2C+and+Daniel+Cohen%2DOr%2E+2025%2E+Myvlm%3A+Personalizing+vlms+for+user%2Dspecific+queries%2E+In+European+Conference+on+Computer+Vision%2C+pages+73%E2%80%9391%2E+Sp)
6. Bashar Alhafni, Vivek Kulkarni, Dhruv Kumar, and Vipul Raheja. 2024. Personalized text generation with fine-grained linguistic control. In Proceedings of the 1st Workshop on Personalization of Generative AI Systems (PERSONALIZE 2024), pages 88–101, St. Julians, Malta. Association for Computational L… [find](https://scholar.google.com/scholar?q=Bashar+Alhafni%2C+Vivek+Kulkarni%2C+Dhruv+Kumar%2C+and+Vipul+Raheja%2E+2024%2E+Personalized+text+generation+with+fine%2Dgrained+linguistic+control%2E+In+Proceedings+of+the+1st+Workshop+on+Personalization+of+Generat)
7. Ruichuan An, Sihan Yang, Ming Lu, Kai Zeng, Yulin Luo, Ying Chen, Jiajun Cao, Hao Liang, Qi She, Shanghang Zhang, et al. 2024. Mc-llava: Multi-concept personalized vision-language model. arXiv preprint arXiv:2411.11706. — [arXiv:2411.11706](https://arxiv.org/abs/2411.11706) [find](https://scholar.google.com/scholar?q=Ruichuan+An%2C+Sihan+Yang%2C+Ming+Lu%2C+Kai+Zeng%2C+Yulin+Luo%2C+Ying+Chen%2C+Jiajun+Cao%2C+Hao+Liang%2C+Qi+She%2C+Shanghang+Zhang%2C+et+al%2E+2024%2E+Mc%2Dllava%3A+Multi%2Dconcept+personalized+vision%2Dlanguage+model%2E+arXiv+preprin)
8. Ruichuan An, Kai Zeng, Ming Lu, Sihan Yang, Renrui Zhang, Huitong Ji, Qizhe Zhang, Yulin Luo, Hao Liang, and Wentao Zhang. 2025. Concept-as-tree: Synthetic data is all you need for vlm personalization. arXiv preprint arXiv:2503.12999. — [arXiv:2503.12999](https://arxiv.org/abs/2503.12999) [find](https://scholar.google.com/scholar?q=Ruichuan+An%2C+Kai+Zeng%2C+Ming+Lu%2C+Sihan+Yang%2C+Renrui+Zhang%2C+Huitong+Ji%2C+Qizhe+Zhang%2C+Yulin+Luo%2C+Hao+Liang%2C+and+Wentao+Zhang%2E+2025%2E+Concept%2Das%2Dtree%3A+Synthetic+data+is+all+you+need+for+vlm+personalization)
9. Xiang Ao, Xiting Wang, Ling Luo, Ying Qiao, Qing He, and Xing Xie. 2021. Pens: A dataset and generic framework for personalized news headline generation. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural… [find](https://scholar.google.com/scholar?q=Xiang+Ao%2C+Xiting+Wang%2C+Ling+Luo%2C+Ying+Qiao%2C+Qing+He%2C+and+Xing+Xie%2E+2021%2E+Pens%3A+A+dataset+and+generic+framework+for+personalized+news+headline+generation%2E+In+Proceedings+of+the+59th+Annual+Meeting+of+t)
10. Omri Avrahami, Kfir Aberman, Ohad Fried, Daniel Cohen-Or, and Dani Lischinski. 2023. Break-a-scene: Extracting multiple concepts from a single image. In SIGGRAPH Asia 2023 Conference Papers, pages 1–12. [find](https://scholar.google.com/scholar?q=Omri+Avrahami%2C+Kfir+Aberman%2C+Ohad+Fried%2C+Daniel+Cohen%2DOr%2C+and+Dani+Lischinski%2E+2023%2E+Break%2Da%2Dscene%3A+Extracting+multiple+concepts+from+a+single+image%2E+In+SIGGRAPH+Asia+2023+Conference+Papers%2C+pages+1%E2%80%931)
11. Yogesh Balaji, Martin Renqiang Min, Bing Bai, Rama Chellappa, and Hans Peter Graf. 2019. Conditional gan with discriminative filter generation for text-to-video synthesis. In IJCAI, volume 1, page 2. [find](https://scholar.google.com/scholar?q=Yogesh+Balaji%2C+Martin+Renqiang+Min%2C+Bing+Bai%2C+Rama+Chellappa%2C+and+Hans+Peter+Graf%2E+2019%2E+Conditional+gan+with+discriminative+filter+generation+for+text%2Dto%2Dvideo+synthesis%2E+In+IJCAI%2C+volume+1%2C+page+2%2E)
12. Alberto Baldrati, Davide Morelli, Giuseppe Cartella, Marcella Cornia, Marco Bertini, and Rita Cucchiara. 2023. Multimodal garment designer: Human-centric latent diffusion models for fashion image editing. In Proceedings of the IEEE/CVF International Conference on Computer Vision, pages 23393–23402. [find](https://scholar.google.com/scholar?q=Alberto+Baldrati%2C+Davide+Morelli%2C+Giuseppe+Cartella%2C+Marcella+Cornia%2C+Marco+Bertini%2C+and+Rita+Cucchiara%2E+2023%2E+Multimodal+garment+designer%3A+Human%2Dcentric+latent+diffusion+models+for+fashion+image+edit)
13. Satanjeev Banerjee and Alon Lavie. 2005. [METEOR: An automatic metric for MT evaluation with improved correlation with human judgments](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/). In Proceedings of the ACL Workshop on Intrinsic and Extrinsic Evaluation Measures for Machine Translation and/or Summarization, pages 65–72, Ann Arbor, Michigan. Ass…
14. Jihwan Bang, Juntae Lee, Kyuhong Shim, Seunghan Yang, and Simyung Chang. 2024. Crayon: Customized on-device LLM via instant adapter blending and edge-server hybrid inference. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 372… [find](https://scholar.google.com/scholar?q=Jihwan+Bang%2C+Juntae+Lee%2C+Kyuhong+Shim%2C+Seunghan+Yang%2C+and+Simyung+Chang%2E+2024%2E+Crayon%3A+Customized+on%2Ddevice+LLM+via+instant+adapter+blending+and+edge%2Dserver+hybrid+inference%2E+In+Proceedings+of+the+62n)
15. Keqin Bao, Jizhi Zhang, Wenjie Wang, Yang Zhang, Zhengyi Yang, Yancheng Luo, Chong Chen, Fuli Feng, and Qi Tian. 2023. A bi-step grounding paradigm for large language models in recommendation systems. Preprint, arXiv:2308.08434. — [arXiv:2308.08434](https://arxiv.org/abs/2308.08434) [find](https://scholar.google.com/scholar?q=Keqin+Bao%2C+Jizhi+Zhang%2C+Wenjie+Wang%2C+Yang+Zhang%2C+Zhengyi+Yang%2C+Yancheng+Luo%2C+Chong+Chen%2C+Fuli+Feng%2C+and+Qi+Tian%2E+2023%2E+A+bi%2Dstep+grounding+paradigm+for+large+language+models+in+recommendation+systems%2E)
16. Ahmet Canberk Baykal, Abdul Basit Anees, Duygu Ceylan, Erkut Erdem, Aykut Erdem, and Deniz Yuret. 2023. Clip-guided stylegan inversion for text-driven real image editing. ACM Transactions on Graphics, 42(5):1–18. [find](https://scholar.google.com/scholar?q=Ahmet+Canberk+Baykal%2C+Abdul+Basit+Anees%2C+Duygu+Ceylan%2C+Erkut+Erdem%2C+Aykut+Erdem%2C+and+Deniz+Yuret%2E+2023%2E+Clip%2Dguided+stylegan+inversion+for+text%2Ddriven+real+image+editing%2E+ACM+Transactions+on+Graphics%2C)
17. David Beniaguev. 2022. Synthetic faces high quality (sfhq) dataset. [find](https://scholar.google.com/scholar?q=David+Beniaguev%2E+2022%2E+Synthetic+faces+high+quality+%28sfhq%29+dataset%2E)
18. Thierry Bertin-Mahieux, Daniel P.W. Ellis, Brian Whitman, and Paul Lamere. 2011. The million song dataset. In Proceedings of the 12th International Conference on Music Information Retrieval (ISMIR 2011). [find](https://scholar.google.com/scholar?q=Thierry+Bertin%2DMahieux%2C+Daniel+P%2EW%2E+Ellis%2C+Brian+Whitman%2C+and+Paul+Lamere%2E+2011%2E+The+million+song+dataset%2E+In+Proceedings+of+the+12th+International+Conference+on+Music+Information+Retrieval+%28ISMIR+201)
19. Mikołaj Bińkowski, Danica J Sutherland, Michael Arbel, and Arthur Gretton. 2018. Demystifying mmd gans. arXiv preprint arXiv:1801.01401. — [arXiv:1801.01401](https://arxiv.org/abs/1801.01401) [find](https://scholar.google.com/scholar?q=Miko%C5%82aj+Bin%CC%81kowski%2C+Danica+J+Sutherland%2C+Michael+Arbel%2C+and+Arthur+Gretton%2E+2018%2E+Demystifying+mmd+gans%2E+arXiv+preprint+arXiv%3A1801%2E01401%2E+%E2%80%94+%5BarXiv%3A1801%2E01401%5D%28https%3A%2F%2Farxiv%2Eorg%2Fabs%2F1801%2E01401%29)
20. M Akmal Butt and Petros Maragos. 1998. Optimum design of chamfer distance transforms. IEEE Transactions on Image Processing, 7(10):1477–1484. [find](https://scholar.google.com/scholar?q=M+Akmal+Butt+and+Petros+Maragos%2E+1998%2E+Optimum+design+of+chamfer+distance+transforms%2E+IEEE+Transactions+on+Image+Processing%2C+7%2810%29%3A1477%E2%80%931484%2E)
21. Pengshan Cai, Kaiqiang Song, Sangwoo Cho, Hongwei Wang, Xiaoyang Wang, Hong Yu, Fei Liu, and Dong Yu. 2023. Generating user-engaging news headlines. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 3265–3280. [find](https://scholar.google.com/scholar?q=Pengshan+Cai%2C+Kaiqiang+Song%2C+Sangwoo+Cho%2C+Hongwei+Wang%2C+Xiaoyang+Wang%2C+Hong+Yu%2C+Fei+Liu%2C+and+Dong+Yu%2E+2023%2E+Generating+user%2Dengaging+news+headlines%2E+In+Proceedings+of+the+61st+Annual+Meeting+of+the+As)
22. Yufei Cai, Yuxiang Wei, Zhilong Ji, Jinfeng Bai, Hu Han, and Wangmeng Zuo. 2024. Decoupled textual embeddings for customized image generation. In Proceedings of the AAAI Conference on Artificial Intelligence, volume 38, pages 909–917. [find](https://scholar.google.com/scholar?q=Yufei+Cai%2C+Yuxiang+Wei%2C+Zhilong+Ji%2C+Jinfeng+Bai%2C+Hu+Han%2C+and+Wangmeng+Zuo%2E+2024%2E+Decoupled+textual+embeddings+for+customized+image+generation%2E+In+Proceedings+of+the+AAAI+Conference+on+Artificial+Intel)
23. Qiong Cao, Li Shen, Weidi Xie, Omkar M Parkhi, and Andrew Zisserman. 2018. Vggface2: A dataset for recognising faces across pose and age. In 2018 13th IEEE international conference on automatic face & gesture recognition (FG 2018), pages 67–74. IEEE. [find](https://scholar.google.com/scholar?q=Qiong+Cao%2C+Li+Shen%2C+Weidi+Xie%2C+Omkar+M+Parkhi%2C+and+Andrew+Zisserman%2E+2018%2E+Vggface2%3A+A+dataset+for+recognising+faces+across+pose+and+age%2E+In+2018+13th+IEEE+international+conference+on+automatic+face+%26)
24. Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, and Armand Joulin. 2021. [Emerging properties in self-supervised vision transformers](https://md.research.elamur.ai/free/en/papers/caron-2021-emerging-properties-self-supervised-vision/). In Proceedings of the IEEE/CVF international conference on computer vision, pages 9650–9660.
25. Andrés Casado-Elvira, Marc Comino Trinidad, and Dan Casas. 2022. Pergamo: Personalized 3d garments from monocular video. In Computer Graphics Forum, volume 41, pages 293–304. Wiley Online Library. [find](https://scholar.google.com/scholar?q=Andr%C3%A9s+Casado%2DElvira%2C+Marc+Comino+Trinidad%2C+and+Dan+Casas%2E+2022%2E+Pergamo%3A+Personalized+3d+garments+from+monocular+video%2E+In+Computer+Graphics+Forum%2C+volume+41%2C+pages+293%E2%80%93304%2E+Wiley+Online+Library%2E)
26. Francesco Paolo Casale, Adrian Dalca, Luca Saglietti, Jennifer Listgarten, and Nicolo Fusi. 2018. Gaussian process prior variational autoencoders. Advances in neural information processing systems, 31. [find](https://scholar.google.com/scholar?q=Francesco+Paolo+Casale%2C+Adrian+Dalca%2C+Luca+Saglietti%2C+Jennifer+Listgarten%2C+and+Nicolo+Fusi%2E+2018%2E+Gaussian+process+prior+variational+autoencoders%2E+Advances+in+neural+information+processing+systems%2C+31)
27. Edresson Casanova, Julian Weber, Christopher D Shulby, Arnaldo Candido Junior, Eren Gölge, and Moacir A Ponti. 2022. Yourtts: Towards zero-shot multi-speaker tts and zero-shot voice conversion for everyone. In International conference on machine learning, pages 2709–2720. PMLR. [find](https://scholar.google.com/scholar?q=Edresson+Casanova%2C+Julian+Weber%2C+Christopher+D+Shulby%2C+Arnaldo+Candido+Junior%2C+Eren+G%C3%B6lge%2C+and+Moacir+A+Ponti%2E+2022%2E+Yourtts%3A+Towards+zero%2Dshot+multi%2Dspeaker+tts+and+zero%2Dshot+voice+conversion+for+eve)
28. Daewon Chae, Nokyung Park, Jinkyu Kim, and Kimin Lee. 2023. Instructbooth: Instruction-following personalized text-to-image generation. arXiv preprint arXiv:2312.03011. — [arXiv:2312.03011](https://arxiv.org/abs/2312.03011) [find](https://scholar.google.com/scholar?q=Daewon+Chae%2C+Nokyung+Park%2C+Jinkyu+Kim%2C+and+Kimin+Lee%2E+2023%2E+Instructbooth%3A+Instruction%2Dfollowing+personalized+text%2Dto%2Dimage+generation%2E+arXiv+preprint+arXiv%3A2312%2E03011%2E+%E2%80%94+%5BarXiv%3A2312%2E03011%5D%28https%3A%2F%2Far)
29. Caroline Chan, Shiry Ginosar, Tinghui Zhou, and Alexei A Efros. 2019. Everybody dance now. In Proceedings of the IEEE/CVF international conference on computer vision, pages 5933–5942. [find](https://scholar.google.com/scholar?q=Caroline+Chan%2C+Shiry+Ginosar%2C+Tinghui+Zhou%2C+and+Alexei+A+Efros%2E+2019%2E+Everybody+dance+now%2E+In+Proceedings+of+the+IEEE%2FCVF+international+conference+on+computer+vision%2C+pages+5933%E2%80%935942%2E)
30. Di Chang, Yichun Shi, Quankai Gao, Hongyi Xu, Jessica Fu, Guoxian Song, Qing Yan, Yizhe Zhu, Xiao Yang, and Mohammad Soleymani. 2023. Magicpose: Realistic human poses and facial expressions retargeting with identity-aware diffusion. In Forty-first International Conference on Machine Learning. [find](https://scholar.google.com/scholar?q=Di+Chang%2C+Yichun+Shi%2C+Quankai+Gao%2C+Hongyi+Xu%2C+Jessica+Fu%2C+Guoxian+Song%2C+Qing+Yan%2C+Yizhe+Zhu%2C+Xiao+Yang%2C+and+Mohammad+Soleymani%2E+2023%2E+Magicpose%3A+Realistic+human+poses+and+facial+expressions+retargetin)
31. Heng Er Metilda Chee, Jiayin Wang, Zhiqiang Guo, Weizhi Ma, Qinglang Guo, and Min Zhang. 2025. A 106k multi-topic multilingual conversational user dataset with emoticons. arXiv preprint arXiv:2502.19108. — [arXiv:2502.19108](https://arxiv.org/abs/2502.19108) [find](https://scholar.google.com/scholar?q=Heng+Er+Metilda+Chee%2C+Jiayin+Wang%2C+Zhiqiang+Guo%2C+Weizhi+Ma%2C+Qinglang+Guo%2C+and+Min+Zhang%2E+2025%2E+A+106k+multi%2Dtopic+multilingual+conversational+user+dataset+with+emoticons%2E+arXiv+preprint+arXiv%3A2502%2E191)
32. Hila Chefer, Shiran Zada, Roni Paiss, Ariel Ephrat, Omer Tov, Michael Rubinstein, Lior Wolf, Tali Dekel, Tomer Michaeli, and Inbar Mosseri. 2024. Still-moving: Customized video generation without customized video data. ACM Transactions on Graphics (TOG), 43(6):1–11. [find](https://scholar.google.com/scholar?q=Hila+Chefer%2C+Shiran+Zada%2C+Roni+Paiss%2C+Ariel+Ephrat%2C+Omer+Tov%2C+Michael+Rubinstein%2C+Lior+Wolf%2C+Tali+Dekel%2C+Tomer+Michaeli%2C+and+Inbar+Mosseri%2E+2024%2E+Still%2Dmoving%3A+Customized+video+generation+without+cust)
33. Chaofeng Chen, Jiadi Mo, Jingwen Hou, Haoning Wu, Liang Liao, Wenxiu Sun, Qiong Yan, and Weisi Lin. 2024a. Topiq: A top-down approach from semantics to distortions for image quality assessment. IEEE Transactions on Image Processing. [find](https://scholar.google.com/scholar?q=Chaofeng+Chen%2C+Jiadi+Mo%2C+Jingwen+Hou%2C+Haoning+Wu%2C+Liang+Liao%2C+Wenxiu+Sun%2C+Qiong+Yan%2C+and+Weisi+Lin%2E+2024a%2E+Topiq%3A+A+top%2Ddown+approach+from+semantics+to+distortions+for+image+quality+assessment%2E+IEEE+T)
34. Hong Chen, Xin Wang, Guanning Zeng, Yipeng Zhang, Yuwei Zhou, Feilin Han, and Wenwu Zhu. 2023a. Videodreamer: Customized multi-subject text-to-video generation with disen-mix finetuning. arXiv preprint arXiv:2311.00990. — [arXiv:2311.00990](https://arxiv.org/abs/2311.00990) [find](https://scholar.google.com/scholar?q=Hong+Chen%2C+Xin+Wang%2C+Guanning+Zeng%2C+Yipeng+Zhang%2C+Yuwei+Zhou%2C+Feilin+Han%2C+and+Wenwu+Zhu%2E+2023a%2E+Videodreamer%3A+Customized+multi%2Dsubject+text%2Dto%2Dvideo+generation+with+disen%2Dmix+finetuning%2E+arXiv+preprin)
35. Hong Chen, Xin Wang, Yipeng Zhang, Yuwei Zhou, Zeyang Zhang, Siao Tang, and Wenwu Zhu. 2024b. Disenstudio: Customized multi-subject text-to-video generation with disentangled spatial control. In Proceedings of the 32nd ACM International Conference on Multimedia, pages 3637–3646. [find](https://scholar.google.com/scholar?q=Hong+Chen%2C+Xin+Wang%2C+Yipeng+Zhang%2C+Yuwei+Zhou%2C+Zeyang+Zhang%2C+Siao+Tang%2C+and+Wenwu+Zhu%2E+2024b%2E+Disenstudio%3A+Customized+multi%2Dsubject+text%2Dto%2Dvideo+generation+with+disentangled+spatial+control%2E+In+Proce)
36. Jiangjie Chen, Xintao Wang, Rui Xu, Siyu Yuan, Yikai Zhang, Wei Shi, Jian Xie, Shuang Li, Ruihan Yang, Tinghui Zhu, Aili Chen, Nianqi Li, Lida Chen, Caiyu Hu, Siye Wu, Scott Ren, Ziquan Fu, and Yanghua Xiao. 2024c. [From persona to personalization: A survey on role-playing language agents](https://md.research.elamur.ai/free/en/papers/chen-2024-persona-personalization-survey-role-playing/). Transactio…
37. Jiangjie Chen, Xintao Wang, Rui Xu, Siyu Yuan, Yikai Zhang, Wei Shi, Jian Xie, Shuang Li, Ruihan Yang, Tinghui Zhu, et al. 2024d. [From persona to personalization: A survey on role-playing language agents](https://md.research.elamur.ai/free/en/papers/chen-2024-persona-personalization-survey-role-playing/). arXiv preprint arXiv:2404.18231.
38. Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, et al. 2024e. When large language models meet personalization: Perspectives of challenges and opportunities. World Wide Web, 27(4):42. [find](https://scholar.google.com/scholar?q=Jin+Chen%2C+Zheng+Liu%2C+Xu+Huang%2C+Chenwang+Wu%2C+Qi+Liu%2C+Gangwei+Jiang%2C+Yuanhao+Pu%2C+Yuxuan+Lei%2C+Xiaolong+Chen%2C+Xingmei+Wang%2C+et+al%2E+2024e%2E+When+large+language+models+meet+personalization%3A+Perspectives+of+c)
39. Laming Chen, Guoxin Zhang, and Eric Zhou. 2018a. Fast greedy map inference for determinantal point process to improve recommendation diversity. Advances in Neural Information Processing Systems, 31. [find](https://scholar.google.com/scholar?q=Laming+Chen%2C+Guoxin+Zhang%2C+and+Eric+Zhou%2E+2018a%2E+Fast+greedy+map+inference+for+determinantal+point+process+to+improve+recommendation+diversity%2E+Advances+in+Neural+Information+Processing+Systems%2C+31%2E)
40. Lele Chen, Zhiheng Li, Ross K Maddox, Zhiyao Duan, and Chenliang Xu. 2018b. Lip movements generation at a glance. In Proceedings of the European conference on computer vision (ECCV), pages 520– 535. [find](https://scholar.google.com/scholar?q=Lele+Chen%2C+Zhiheng+Li%2C+Ross+K+Maddox%2C+Zhiyao+Duan%2C+and+Chenliang+Xu%2E+2018b%2E+Lip+movements+generation+at+a+glance%2E+In+Proceedings+of+the+European+conference+on+computer+vision+%28ECCV%29%2C+pages+520%E2%80%93+535%2E)
41. Liang Chen, Hongru Wang, Yang Deng, Wai Chung Kwan, Zezhong Wang, and Kam-Fai Wong. 2023b. Towards robust personalized dialogue generation via order-insensitive representation regularization. In Findings of the Association for Computational Linguistics: ACL 2023, pages 7337–7345, Toronto, Canada. As… [find](https://scholar.google.com/scholar?q=Liang+Chen%2C+Hongru+Wang%2C+Yang+Deng%2C+Wai+Chung+Kwan%2C+Zezhong+Wang%2C+and+Kam%2DFai+Wong%2E+2023b%2E+Towards+robust+personalized+dialogue+generation+via+order%2Dinsensitive+representation+regularization%2E+In+Findi)
42. Nuo Chen, Yan Wang, Haiyun Jiang, Deng Cai, Yuhan Li, Ziyang Chen, Longyue Wang, and Jia Li. 2023c. [Large language models meet harry potter: A dataset for aligning dialogue agents with characters](https://md.research.elamur.ai/free/en/papers/chen-2023-large-language-models-meet-harry/). In Findings of the Association for Computational Linguistics: EMNLP 2023, pages 8506–8520.
43. Peng Chen, Xiaobao Wei, Ming Lu, Yitong Zhu, Naiming Yao, Xingyu Xiao, and Hui Chen. 2023d. Diffusiontalker: Personalization and acceleration for speech-driven 3d face diffuser. arXiv preprint arXiv:2311.16565. — [arXiv:2311.16565](https://arxiv.org/abs/2311.16565) [find](https://scholar.google.com/scholar?q=Peng+Chen%2C+Xiaobao+Wei%2C+Ming+Lu%2C+Yitong+Zhu%2C+Naiming+Yao%2C+Xingyu+Xiao%2C+and+Hui+Chen%2E+2023d%2E+Diffusiontalker%3A+Personalization+and+acceleration+for+speech%2Ddriven+3d+face+diffuser%2E+arXiv+preprint+arXiv%3A2)
44. Wen Chen, Pipei Huang, Jiaming Xu, Xin Guo, Cheng Guo, Fei Sun, Chao Li, Andreas Pfadler, Huan Zhao, and Binqiang Zhao. 2019. Pog: personalized outfit generation for fashion recommendation at alibaba ifashion. In Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & da… [find](https://scholar.google.com/scholar?q=Wen+Chen%2C+Pipei+Huang%2C+Jiaming+Xu%2C+Xin+Guo%2C+Cheng+Guo%2C+Fei+Sun%2C+Chao+Li%2C+Andreas+Pfadler%2C+Huan+Zhao%2C+and+Binqiang+Zhao%2E+2019%2E+Pog%3A+personalized+outfit+generation+for+fashion+recommendation+at+alibaba+)
45. Wenhu Chen, Hexiang Hu, YANDONG LI, Nataniel Ruiz, Xuhui Jia, Ming-Wei Chang, and William W. Cohen. 2023e. Subject-driven text-to-image generation via apprenticeship learning. In Thirty-seventh Conference on Neural Information Processing Systems. [find](https://scholar.google.com/scholar?q=Wenhu+Chen%2C+Hexiang+Hu%2C+YANDONG+LI%2C+Nataniel+Ruiz%2C+Xuhui+Jia%2C+Ming%2DWei+Chang%2C+and+William+W%2E+Cohen%2E+2023e%2E+Subject%2Ddriven+text%2Dto%2Dimage+generation+via+apprenticeship+learning%2E+In+Thirty%2Dseventh+Confer)
46. Xiaokang Chen, Zhiyu Wu, Xingchao Liu, Zizheng Pan, Wen Liu, Zhenda Xie, Xingkai Yu, and Chong Ruan. 2025. [Janus-pro: Unified multimodal understanding and generation with data and model scaling](https://md.research.elamur.ai/free/en/papers/chen-2025-janus-pro-unified-multimodal/). arXiv preprint arXiv:2501.17811.
47. Yi-Pei Chen, Noriki Nishida, Hideki Nakayama, and Yuji Matsumoto. 2024f. Recent trends in personalized dialogue generation: A review of datasets, methodologies, and evaluations. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation… [find](https://scholar.google.com/scholar?q=Yi%2DPei+Chen%2C+Noriki+Nishida%2C+Hideki+Nakayama%2C+and+Yuji+Matsumoto%2E+2024f%2E+Recent+trends+in+personalized+dialogue+generation%3A+A+review+of+datasets%2C+methodologies%2C+and+evaluations%2E+In+Proceedings+of+the+)
48. Zijie Chen, Lichao Zhang, Fangsheng Weng, Lili Pan, and Zhenzhong Lan. 2024g. Tailored visions: Enhancing text-to-image generation with personalized prompt rewriting. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 7727–7736. [find](https://scholar.google.com/scholar?q=Zijie+Chen%2C+Lichao+Zhang%2C+Fangsheng+Weng%2C+Lili+Pan%2C+and+Zhenzhong+Lan%2E+2024g%2E+Tailored+visions%3A+Enhancing+text%2Dto%2Dimage+generation+with+personalized+prompt+rewriting%2E+In+Proceedings+of+the+IEEE%2FCVF+Co)
49. Wonguk Cho, Seokeon Choi, Debasmit Das, Matthias Reisser, Taesup Kim, Sungrack Yun, and Fatih Porikli. 2024. Hollowed net for on-device personalization of text-to-image diffusion models. Advances in Neural Information Processing Systems, 37:43058– 43079. [find](https://scholar.google.com/scholar?q=Wonguk+Cho%2C+Seokeon+Choi%2C+Debasmit+Das%2C+Matthias+Reisser%2C+Taesup+Kim%2C+Sungrack+Yun%2C+and+Fatih+Porikli%2E+2024%2E+Hollowed+net+for+on%2Ddevice+personalization+of+text%2Dto%2Dimage+diffusion+models%2E+Advances+in+N)
50. Jeongsoo Choi, Minsu Kim, Se Jin Park, and Yong Man Ro. 2024. Text-driven talking face synthesis by reprogramming audio-driven models. In ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 8065– 8069. IEEE. [find](https://scholar.google.com/scholar?q=Jeongsoo+Choi%2C+Minsu+Kim%2C+Se+Jin+Park%2C+and+Yong+Man+Ro%2E+2024%2E+Text%2Ddriven+talking+face+synthesis+by+reprogramming+audio%2Ddriven+models%2E+In+ICASSP+2024%2D2024+IEEE+International+Conference+on+Acoustics%2C+S)
51. Seunghwan Choi, Sunghyun Park, Minsoo Lee, and Jaegul Choo. 2021. Viton-hd: High-resolution virtual try-on via misalignment-aware normalization. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 14131– 14140. [find](https://scholar.google.com/scholar?q=Seunghwan+Choi%2C+Sunghyun+Park%2C+Minsoo+Lee%2C+and+Jaegul+Choo%2E+2021%2E+Viton%2Dhd%3A+High%2Dresolution+virtual+try%2Don+via+misalignment%2Daware+normalization%2E+In+Proceedings+of+the+IEEE%2FCVF+conference+on+computer+v)
52. Yisol Choi, Sangkyung Kwak, Kyungmin Lee, Hyungwon Choi, and Jinwoo Shin. 2025. Improving diffusion models for authentic virtual try-on in the wild. In European Conference on Computer Vision, pages 206–235. Springer. [find](https://scholar.google.com/scholar?q=Yisol+Choi%2C+Sangkyung+Kwak%2C+Kyungmin+Lee%2C+Hyungwon+Choi%2C+and+Jinwoo+Shin%2E+2025%2E+Improving+diffusion+models+for+authentic+virtual+try%2Don+in+the+wild%2E+In+European+Conference+on+Computer+Vision%2C+pages+20)
53. Schuhmann Christoph and Beaumont Romain. 2022. Laion-aesthetics. [find](https://scholar.google.com/scholar?q=Schuhmann+Christoph+and+Beaumont+Romain%2E+2022%2E+Laion%2Daesthetics%2E)
54. Chih-Hsing Chu, I-Jan Wang, Jeng-Bang Wang, and Yuan-Ping Luh. 2017. 3d parametric human face modeling for personalized product design: Eyeglasses frame design case. Advanced Engineering Informatics, 32:202–223. [find](https://scholar.google.com/scholar?q=Chih%2DHsing+Chu%2C+I%2DJan+Wang%2C+Jeng%2DBang+Wang%2C+and+Yuan%2DPing+Luh%2E+2017%2E+3d+parametric+human+face+modeling+for+personalized+product+design%3A+Eyeglasses+frame+design+case%2E+Advanced+Engineering+Informatics%2C+)
55. Joon Son Chung, Arsha Nagrani, and Andrew Zisserman. 2018. Voxceleb2: Deep speaker recognition. arXiv preprint arXiv:1806.05622. [find](https://scholar.google.com/scholar?q=Joon+Son+Chung%2C+Arsha+Nagrani%2C+and+Andrew+Zisserman%2E+2018%2E+Voxceleb2%3A+Deep+speaker+recognition%2E+arXiv+preprint+arXiv%3A1806%2E05622%2E)
56. Joon Son Chung and Andrew Zisserman. 2017a. Lip reading in the wild. In Computer Vision–ACCV 2016: 13th Asian Conference on Computer Vision, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part II 13, pages 87–103. Springer. [find](https://scholar.google.com/scholar?q=Joon+Son+Chung+and+Andrew+Zisserman%2E+2017a%2E+Lip+reading+in+the+wild%2E+In+Computer+Vision%E2%80%93ACCV+2016%3A+13th+Asian+Conference+on+Computer+Vision%2C+Taipei%2C+Taiwan%2C+November+20%2D24%2C+2016%2C+Revised+Selected+Pape)
57. Joon Son Chung and Andrew Zisserman. 2017b. Out of time: automated lip sync in the wild. In Computer Vision–ACCV 2016 Workshops: ACCV 2016 International Workshops, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part II 13, pages 251–263. Springer. [find](https://scholar.google.com/scholar?q=Joon+Son+Chung+and+Andrew+Zisserman%2E+2017b%2E+Out+of+time%3A+automated+lip+sync+in+the+wild%2E+In+Computer+Vision%E2%80%93ACCV+2016+Workshops%3A+ACCV+2016+International+Workshops%2C+Taipei%2C+Taiwan%2C+November+20%2D24%2C+2016)
58. Cesc Chunseong Park, Byeongchang Kim, and Gunhee Kim. 2017. Attend to you: Personalized image captioning with context sequence memory networks. In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 895–903. [find](https://scholar.google.com/scholar?q=Cesc+Chunseong+Park%2C+Byeongchang+Kim%2C+and+Gunhee+Kim%2E+2017%2E+Attend+to+you%3A+Personalized+image+captioning+with+context+sequence+memory+networks%2E+In+Proceedings+of+the+IEEE+conference+on+computer+vision)
59. Niv Cohen, Rinon Gal, Eli A Meirom, Gal Chechik, and Yuval Atzmon. 2022. “this is my unicorn, fluffy”: Personalizing frozen vision-language representations. In European conference on computer vision, pages 558–577. Springer. [find](https://scholar.google.com/scholar?q=Niv+Cohen%2C+Rinon+Gal%2C+Eli+A+Meirom%2C+Gal+Chechik%2C+and+Yuval+Atzmon%2E+2022%2E+%E2%80%9Cthis+is+my+unicorn%2C+fluffy%E2%80%9D%3A+Personalizing+frozen+vision%2Dlanguage+representations%2E+In+European+conference+on+computer+vision%2C+)
60. Martin Cooke, Jon Barker, Stuart Cunningham, and Xu Shao. 2006. An audio-visual corpus for speech perception and automatic speech recognition. The Journal of the Acoustical Society of America, 120(5):2421–2424. [find](https://scholar.google.com/scholar?q=Martin+Cooke%2C+Jon+Barker%2C+Stuart+Cunningham%2C+and+Xu+Shao%2E+2006%2E+An+audio%2Dvisual+corpus+for+speech+perception+and+automatic+speech+recognition%2E+The+Journal+of+the+Acoustical+Society+of+America%2C+120%285%29%3A)
61. Daniel Cudeiro, Timo Bolkart, Cassidy Laidlaw, Anurag Ranjan, and Michael J Black. 2019. Capture, learning, and synthesis of 3d speaking styles. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 10101–10111. [find](https://scholar.google.com/scholar?q=Daniel+Cudeiro%2C+Timo+Bolkart%2C+Cassidy+Laidlaw%2C+Anurag+Ranjan%2C+and+Michael+J+Black%2E+2019%2E+Capture%2C+learning%2C+and+synthesis+of+3d+speaking+styles%2E+In+Proceedings+of+the+IEEE%2FCVF+conference+on+computer+v)
62. Aiyu Cui, Jay Mahajan, Viraj Shah, Preeti Gomathi-nayagam, Chang Liu, and Svetlana Lazebnik. 2024a. Street tryon: Learning in-the-wild virtual try-on from unpaired person images. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 8235–8239. [find](https://scholar.google.com/scholar?q=Aiyu+Cui%2C+Jay+Mahajan%2C+Viraj+Shah%2C+Preeti+Gomathi%2Dnayagam%2C+Chang+Liu%2C+and+Svetlana+Lazebnik%2E+2024a%2E+Street+tryon%3A+Learning+in%2Dthe%2Dwild+virtual+try%2Don+from+unpaired+person+images%2E+In+Proceedings+of+the)
63. Can Cui, Zichong Yang, Yupeng Zhou, Juntong Peng, Sung-Yeon Park, Cong Zhang, Yunsheng Ma, Xu Cao, Wenqian Ye, Yiheng Feng, et al. 2024b. On-board vision-language models for personalized autonomous vehicle motion control: System design and real-world validation. arXiv preprint arXiv:2411.11913. — [arXiv:2411.11913](https://arxiv.org/abs/2411.11913) [find](https://scholar.google.com/scholar?q=Can+Cui%2C+Zichong+Yang%2C+Yupeng+Zhou%2C+Juntong+Peng%2C+Sung%2DYeon+Park%2C+Cong+Zhang%2C+Yunsheng+Ma%2C+Xu+Cao%2C+Wenqian+Ye%2C+Yiheng+Feng%2C+et+al%2E+2024b%2E+On%2Dboard+vision%2Dlanguage+models+for+personalized+autonomous+ve)
64. Ádám Tibor Czapp, Mátyás Jani, Bálint Domián, and Balázs Hidasi. 2024. Dynamic product image generation and recommendation at scale for personalized e-commerce. In Proceedings of the 18th ACM Conference on Recommender Systems, pages 768–770. [find](https://scholar.google.com/scholar?q=%C3%81d%C3%A1m+Tibor+Czapp%2C+M%C3%A1ty%C3%A1s+Jani%2C+B%C3%A1lint+Domi%C3%A1n%2C+and+Bal%C3%A1zs+Hidasi%2E+2024%2E+Dynamic+product+image+generation+and+recommendation+at+scale+for+personalized+e%2Dcommerce%2E+In+Proceedings+of+the+18th+ACM+Conferen)
65. Shuqi Dai, Xichu Ma, Ye Wang, and Roger B Dannenberg. 2022. Personalised popular music generation using imitation and structure. Journal of New Music Research, 51(1):69–85. [find](https://scholar.google.com/scholar?q=Shuqi+Dai%2C+Xichu+Ma%2C+Ye+Wang%2C+and+Roger+B+Dannenberg%2E+2022%2E+Personalised+popular+music+generation+using+imitation+and+structure%2E+Journal+of+New+Music+Research%2C+51%281%29%3A69%E2%80%9385%2E)
66. Deepayan Das, Davide Talon, Yiming Wang, Massimiliano Mancini, and Elisa Ricci. 2025. Training-free personalization via retrieval and reasoning on fingerprints. arXiv preprint arXiv:2503.18623. — [arXiv:2503.18623](https://arxiv.org/abs/2503.18623) [find](https://scholar.google.com/scholar?q=Deepayan+Das%2C+Davide+Talon%2C+Yiming+Wang%2C+Massimiliano+Mancini%2C+and+Elisa+Ricci%2E+2025%2E+Training%2Dfree+personalization+via+retrieval+and+reasoning+on+fingerprints%2E+arXiv+preprint+arXiv%3A2503%2E18623%2E+%E2%80%94+%5BarX)
67. Matt Deitke, Winson Han, Alvaro Herrasti, Aniruddha Kembhavi, Eric Kolve, Roozbeh Mottaghi, Jordi Salvador, Dustin Schwenk, Eli VanderBilt, Matthew Wallingford, et al. 2020. Robothor: An open simulation-to-real embodied ai platform. In Proceedings of the IEEE/CVF conference on computer vision and pa… [find](https://scholar.google.com/scholar?q=Matt+Deitke%2C+Winson+Han%2C+Alvaro+Herrasti%2C+Aniruddha+Kembhavi%2C+Eric+Kolve%2C+Roozbeh+Mottaghi%2C+Jordi+Salvador%2C+Dustin+Schwenk%2C+Eli+VanderBilt%2C+Matthew+Wallingford%2C+et+al%2E+2020%2E+Robothor%3A+An+open+simulati)
68. Matt Deitke, Dustin Schwenk, Jordi Salvador, Luca Weihs, Oscar Michel, Eli VanderBilt, Ludwig Schmidt, Kiana Ehsani, Aniruddha Kembhavi, and Ali Farhadi. 2023. Objaverse: A universe of annotated 3d objects. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 1… [find](https://scholar.google.com/scholar?q=Matt+Deitke%2C+Dustin+Schwenk%2C+Jordi+Salvador%2C+Luca+Weihs%2C+Oscar+Michel%2C+Eli+VanderBilt%2C+Ludwig+Schmidt%2C+Kiana+Ehsani%2C+Aniruddha+Kembhavi%2C+and+Ali+Farhadi%2E+2023%2E+Objaverse%3A+A+universe+of+annotated+3d+ob)
69. Ganggui Ding, Canyu Zhao, Wen Wang, Zhen Yang, Zide Liu, Hao Chen, and Chunhua Shen. 2024. Freecustom: Tuning-free customized image generation for multi-concept composition. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 9089–9098. [find](https://scholar.google.com/scholar?q=Ganggui+Ding%2C+Canyu+Zhao%2C+Wen+Wang%2C+Zhen+Yang%2C+Zide+Liu%2C+Hao+Chen%2C+and+Chunhua+Shen%2E+2024%2E+Freecustom%3A+Tuning%2Dfree+customized+image+generation+for+multi%2Dconcept+composition%2E+In+Proceedings+of+the+IEEE)
70. Haoye Dong, Xiaodan Liang, Xiaohui Shen, Bochao Wang, Hanjiang Lai, Jia Zhu, Zhiting Hu, and Jian Yin. 2019a. Towards multi-pose guided virtual try-on network. In Proceedings of the IEEE/CVF international conference on computer vision, pages 9026– 9035. [find](https://scholar.google.com/scholar?q=Haoye+Dong%2C+Xiaodan+Liang%2C+Xiaohui+Shen%2C+Bochao+Wang%2C+Hanjiang+Lai%2C+Jia+Zhu%2C+Zhiting+Hu%2C+and+Jian+Yin%2E+2019a%2E+Towards+multi%2Dpose+guided+virtual+try%2Don+network%2E+In+Proceedings+of+the+IEEE%2FCVF+internati)
71. Haoye Dong, Xiaodan Liang, Xiaohui Shen, Bowen Wu, Bing-Cheng Chen, and Jian Yin. 2019b. Fw-gan: Flow-navigated warping gan for video virtual tryon. In Proceedings of the IEEE/CVF international conference on computer vision, pages 1161–1170. [find](https://scholar.google.com/scholar?q=Haoye+Dong%2C+Xiaodan+Liang%2C+Xiaohui+Shen%2C+Bowen+Wu%2C+Bing%2DCheng+Chen%2C+and+Jian+Yin%2E+2019b%2E+Fw%2Dgan%3A+Flow%2Dnavigated+warping+gan+for+video+virtual+tryon%2E+In+Proceedings+of+the+IEEE%2FCVF+international+confer)
72. Haoye Dong, Jun Liu, and Dong Huang. 2024. Df-vton: Dense flow guided virtual try-on network. In ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 3175–3179. IEEE. [find](https://scholar.google.com/scholar?q=Haoye+Dong%2C+Jun+Liu%2C+and+Dong+Huang%2E+2024%2E+Df%2Dvton%3A+Dense+flow+guided+virtual+try%2Don+network%2E+In+ICASSP+2024%2D2024+IEEE+International+Conference+on+Acoustics%2C+Speech+and+Signal+Processing+%28ICASSP%29%2C+pag)
73. Benjamin Elizalde, Soham Deshmukh, Mahmoud Al Ismail, and Huaming Wang. 2023. Clap learning audio concepts from natural language supervision. In ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 1–5. IEEE. [find](https://scholar.google.com/scholar?q=Benjamin+Elizalde%2C+Soham+Deshmukh%2C+Mahmoud+Al+Ismail%2C+and+Huaming+Wang%2E+2023%2E+Clap+learning+audio+concepts+from+natural+language+supervision%2E+In+ICASSP+2023%2D2023+IEEE+International+Conference+on+Acous)
74. Eugene, serdyukovpv, and Will Cukierski. 2013. Personalized web search challenge. [https://kaggle.com/competitions/](https://kaggle.com/competitions/) yandex-personalized-web-search-challenge. Kaggle. [↗](https://kaggle.com/competitions/)
75. Gabriele Fanelli, Matthias Dantone, Juergen Gall, Andrea Fossati, and Luc Van Gool. 2013. Random forests for real time 3d face analysis. International journal of computer vision, 101:437–458. [find](https://scholar.google.com/scholar?q=Gabriele+Fanelli%2C+Matthias+Dantone%2C+Juergen+Gall%2C+Andrea+Fossati%2C+and+Luc+Van+Gool%2E+2013%2E+Random+forests+for+real+time+3d+face+analysis%2E+International+journal+of+computer+vision%2C+101%3A437%E2%80%93458%2E)
76. Yi Fang, Wenjie Wang, Yang Zhang, Fengbin Zhu, Qifan Wang, Fuli Feng, and Xiangnan He. 2025. Large language models for recommendation with deliberative user preference alignment. arXiv preprint arXiv:2502.02061. — [arXiv:2502.02061](https://arxiv.org/abs/2502.02061) [find](https://scholar.google.com/scholar?q=Yi+Fang%2C+Wenjie+Wang%2C+Yang+Zhang%2C+Fengbin+Zhu%2C+Qifan+Wang%2C+Fuli+Feng%2C+and+Xiangnan+He%2E+2025%2E+Large+language+models+for+recommendation+with+deliberative+user+preference+alignment%2E+arXiv+preprint+arXiv%3A)
77. Zhouxiang Fang, Min Yu, Zhendong Fu, Boning Zhang, Xuanwen Huang, Xiaoqi Tang, and Yang Yang. 2024a. How to generate popular post headlines on social media? AI Open, 5:1–9. [find](https://scholar.google.com/scholar?q=Zhouxiang+Fang%2C+Min+Yu%2C+Zhendong+Fu%2C+Boning+Zhang%2C+Xuanwen+Huang%2C+Xiaoqi+Tang%2C+and+Yang+Yang%2E+2024a%2E+How+to+generate+popular+post+headlines+on+social+media%3F+AI+Open%2C+5%3A1%E2%80%939%2E)
78. Chaorui Deng, Deyao Zhu, Kunchang Li, Chenhui Gou, Feng Li, Zeyu Wang, Shu Zhong, Weihao Yu, Xiaonan Nie, Ziang Song, et al. 2025. Emerging properties in unified multimodal pretraining. arXiv preprint arXiv:2505.14683. — [arXiv:2505.14683](https://arxiv.org/abs/2505.14683) [find](https://scholar.google.com/scholar?q=Chaorui+Deng%2C+Deyao+Zhu%2C+Kunchang+Li%2C+Chenhui+Gou%2C+Feng+Li%2C+Zeyu+Wang%2C+Shu+Zhong%2C+Weihao+Yu%2C+Xiaonan+Nie%2C+Ziang+Song%2C+et+al%2E+2025%2E+Emerging+properties+in+unified+multimodal+pretraining%2E+arXiv+preprint)
79. Zixun Fang, Wei Zhai, Aimin Su, Hongliang Song, Kai Zhu, Mao Wang, Yu Chen, Zhiheng Liu, Yang Cao, and Zheng-Jun Zha. 2024b. Vivid: Video virtual try-on using diffusion models. arXiv preprint arXiv:2405.11794. — [arXiv:2405.11794](https://arxiv.org/abs/2405.11794) [find](https://scholar.google.com/scholar?q=Zixun+Fang%2C+Wei+Zhai%2C+Aimin+Su%2C+Hongliang+Song%2C+Kai+Zhu%2C+Mao+Wang%2C+Yu+Chen%2C+Zhiheng+Liu%2C+Yang+Cao%2C+and+Zheng%2DJun+Zha%2E+2024b%2E+Vivid%3A+Video+virtual+try%2Don+using+diffusion+models%2E+arXiv+preprint+arXiv%3A24)
80. Jiankang Deng, Jia Guo, Niannan Xue, and Stefanos Zafeiriou. 2019. Arcface: Additive angular margin loss for deep face recognition. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 4690–4699. [find](https://scholar.google.com/scholar?q=Jiankang+Deng%2C+Jia+Guo%2C+Niannan+Xue%2C+and+Stefanos+Zafeiriou%2E+2019%2E+Arcface%3A+Additive+angular+margin+loss+for+deep+face+recognition%2E+In+Proceedings+of+the+IEEE%2FCVF+conference+on+computer+vision+and+pat)
81. James Flemings, Meisam Razaviyayn, and Murali Annavaram. 2024. Differentially private next-token prediction of large language models. In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Pape… [find](https://scholar.google.com/scholar?q=James+Flemings%2C+Meisam+Razaviyayn%2C+and+Murali+Annavaram%2E+2024%2E+Differentially+private+next%2Dtoken+prediction+of+large+language+models%2E+In+Proceedings+of+the+2024+Conference+of+the+North+American+Chapte)
82. Najmeh Forouzandehmehr, Yijie Cao, Nikhil Thakur-desai, Ramin Giahi, Luyi Ma, Nima Farrokhsiar, Jianpeng Xu, Evren Korpeoglu, and Kannan Achan. 2023. Character-based outfit generation with vision-augmented style extraction via llms. In 2023 IEEE International Conference on Big Data (BigData), pages… [find](https://scholar.google.com/scholar?q=Najmeh+Forouzandehmehr%2C+Yijie+Cao%2C+Nikhil+Thakur%2Ddesai%2C+Ramin+Giahi%2C+Luyi+Ma%2C+Nima+Farrokhsiar%2C+Jianpeng+Xu%2C+Evren+Korpeoglu%2C+and+Kannan+Achan%2E+2023%2E+Character%2Dbased+outfit+generation+with+vision%2Daugm)
83. Jingsheng Gao, Yixin Lian, Ziyi Zhou, Yuzhuo Fu, and Baoyuan Wang. 2023. LiveChat: A large-scale personalized dialogue dataset automatically constructed from live streaming. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1538… [find](https://scholar.google.com/scholar?q=Jingsheng+Gao%2C+Yixin+Lian%2C+Ziyi+Zhou%2C+Yuzhuo+Fu%2C+and+Baoyuan+Wang%2E+2023%2E+LiveChat%3A+A+large%2Dscale+personalized+dialogue+dataset+automatically+constructed+from+live+streaming%2E+In+Proceedings+of+the+61st)
84. Jianglin Fu, Shikai Li, Yuming Jiang, Kwan-Yee Lin, Chen Qian, Chen Change Loy, Wayne Wu, and Ziwei Liu. 2022. Stylegan-human: A data-centric odyssey of human generation. In European Conference on Computer Vision, pages 1–19. Springer. [find](https://scholar.google.com/scholar?q=Jianglin+Fu%2C+Shikai+Li%2C+Yuming+Jiang%2C+Kwan%2DYee+Lin%2C+Chen+Qian%2C+Chen+Change+Loy%2C+Wayne+Wu%2C+and+Ziwei+Liu%2E+2022%2E+Stylegan%2Dhuman%3A+A+data%2Dcentric+odyssey+of+human+generation%2E+In+European+Conference+on+Com)
85. Justin Fu, Aviral Kumar, Ofir Nachum, George Tucker, and Sergey Levine. 2020. D4rl: Datasets for deep data-driven reinforcement learning. arXiv preprint arXiv:2004.07219. — [arXiv:2004.07219](https://arxiv.org/abs/2004.07219) [find](https://scholar.google.com/scholar?q=Justin+Fu%2C+Aviral+Kumar%2C+Ofir+Nachum%2C+George+Tucker%2C+and+Sergey+Levine%2E+2020%2E+D4rl%3A+Datasets+for+deep+data%2Ddriven+reinforcement+learning%2E+arXiv+preprint+arXiv%3A2004%2E07219%2E+%E2%80%94+%5BarXiv%3A2004%2E07219%5D%28https%3A%2F%2F)
86. Stephanie Fu, Netanel Yakir Tamir, Shobhita Sundaram, Lucy Chai, Richard Zhang, Tali Dekel, and Phillip Isola. 2023. Dreamsim: Learning new dimensions of human visual similarity using synthetic data. In Thirty-seventh Conference on Neural Information Processing Systems. [find](https://scholar.google.com/scholar?q=Stephanie+Fu%2C+Netanel+Yakir+Tamir%2C+Shobhita+Sundaram%2C+Lucy+Chai%2C+Richard+Zhang%2C+Tali+Dekel%2C+and+Phillip+Isola%2E+2023%2E+Dreamsim%3A+Learning+new+dimensions+of+human+visual+similarity+using+synthetic+data%2E+)
87. Shaz Furniturewala, Surgan Jandial, Abhinav Java, Pragyan Banerjee, Simra Shahid, Sumit Bhatia, and Kokil Jaidka. 2024. “thinking” fair and slow: On the efficacy of structured prompts for debiasing language models. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Proces… [find](https://scholar.google.com/scholar?q=Shaz+Furniturewala%2C+Surgan+Jandial%2C+Abhinav+Java%2C+Pragyan+Banerjee%2C+Simra+Shahid%2C+Sumit+Bhatia%2C+and+Kokil+Jaidka%2E+2024%2E+%E2%80%9Cthinking%E2%80%9D+fair+and+slow%3A+On+the+efficacy+of+structured+prompts+for+debiasing+la)
88. Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit Haim Bermano, Gal Chechik, and Daniel Cohen-or. 2023. An image is worth one word: Personalizing text-to-image generation using textual inversion. In The Eleventh International Conference on Learning Representations. [find](https://scholar.google.com/scholar?q=Rinon+Gal%2C+Yuval+Alaluf%2C+Yuval+Atzmon%2C+Or+Patashnik%2C+Amit+Haim+Bermano%2C+Gal+Chechik%2C+and+Daniel+Cohen%2Dor%2E+2023%2E+An+image+is+worth+one+word%3A+Personalizing+text%2Dto%2Dimage+generation+using+textual+inversi)
89. Rinon Gal, Or Lichter, Elad Richardson, Or Patashnik, Amit H Bermano, Gal Chechik, and Daniel Cohen-Or. 2024. Lcm-lookahead for encoder-based text-to-image personalization. In European Conference on Computer Vision, pages 322–340. Springer. [find](https://scholar.google.com/scholar?q=Rinon+Gal%2C+Or+Lichter%2C+Elad+Richardson%2C+Or+Patashnik%2C+Amit+H+Bermano%2C+Gal+Chechik%2C+and+Daniel+Cohen%2DOr%2E+2024%2E+Lcm%2Dlookahead+for+encoder%2Dbased+text%2Dto%2Dimage+personalization%2E+In+European+Conference+on+C)
90. Isabel O. Gallegos, Ryan Aponte, Ryan A. Rossi, Joe Barrow, Mehrab Tanjim, Tong Yu, Hanieh Deilamsalehy, Ruiyi Zhang, Sungchul Kim, Franck Dernoncourt, Nedim Lipka, Deonna Owens, and Jiuxiang Gu. 2025. Self-debiasing large language models: Zero-shot recognition and reduction of stereotypes. In Proce… [find](https://scholar.google.com/scholar?q=Isabel+O%2E+Gallegos%2C+Ryan+Aponte%2C+Ryan+A%2E+Rossi%2C+Joe+Barrow%2C+Mehrab+Tanjim%2C+Tong+Yu%2C+Hanieh+Deilamsalehy%2C+Ruiyi+Zhang%2C+Sungchul+Kim%2C+Franck+Dernoncourt%2C+Nedim+Lipka%2C+Deonna+Owens%2C+and+Jiuxiang+Gu%2E+2025)
91. Hanan Gani, Shariq Farooq Bhat, Muzammal Naseer, Salman Khan, and Peter Wonka. 2024. [find](https://scholar.google.com/scholar?q=Hanan+Gani%2C+Shariq+Farooq+Bhat%2C+Muzammal+Naseer%2C+Salman+Khan%2C+and+Peter+Wonka%2E+2024%2E)
92. LLM Xuan Gao, Chenglai Zhong, Jun Xiang, Yang Hong, Yudong Guo, and Juyong Zhang. 2022. Reconstructing personalized semantic facial nerf models from monocular video. ACM Transactions on Graphics (TOG), 41(6):1–12. [find](https://scholar.google.com/scholar?q=LLM+Xuan+Gao%2C+Chenglai+Zhong%2C+Jun+Xiang%2C+Yang+Hong%2C+Yudong+Guo%2C+and+Juyong+Zhang%2E+2022%2E+Reconstructing+personalized+semantic+facial+nerf+models+from+monocular+video%2E+ACM+Transactions+on+Graphics+%28TOG%29)
93. Yuying Ge, Ruimao Zhang, Xiaogang Wang, Xiaoou Tang, and Ping Luo. 2019. Deepfashion2: A versatile benchmark for detection, pose estimation, segmentation and re-identification of clothing images. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 5337–5345. [find](https://scholar.google.com/scholar?q=Yuying+Ge%2C+Ruimao+Zhang%2C+Xiaogang+Wang%2C+Xiaoou+Tang%2C+and+Ping+Luo%2E+2019%2E+Deepfashion2%3A+A+versatile+benchmark+for+detection%2C+pose+estimation%2C+segmentation+and+re%2Didentification+of+clothing+images%2E+In+P)
94. Shijie Geng, Zuohui Fu, Yingqiang Ge, Lei Li, Gerard De Melo, and Yongfeng Zhang. 2022. Improving personalized explanation generation through visualization. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 244–255. [find](https://scholar.google.com/scholar?q=Shijie+Geng%2C+Zuohui+Fu%2C+Yingqiang+Ge%2C+Lei+Li%2C+Gerard+De+Melo%2C+and+Yongfeng+Zhang%2E+2022%2E+Improving+personalized+explanation+generation+through+visualization%2E+In+Proceedings+of+the+60th+Annual+Meeting+o)
95. Xue Geng, Hanwang Zhang, Jingwen Bian, and Tat-Seng Chua. 2015. Learning image and user features for recommendation in social networks. In Proceedings of the IEEE international conference on computer vision, pages 4274–4282. [find](https://scholar.google.com/scholar?q=Xue+Geng%2C+Hanwang+Zhang%2C+Jingwen+Bian%2C+and+Tat%2DSeng+Chua%2E+2015%2E+Learning+image+and+user+features+for+recommendation+in+social+networks%2E+In+Proceedings+of+the+IEEE+international+conference+on+computer+)
96. Junhong Gou, Siyu Sun, Jianfu Zhang, Jianlou Si, Chen Qian, and Liqing Zhang. 2023. Taming the power of diffusion models for high-quality virtual try-on with appearance flow. In Proceedings of the 31st ACM International Conference on Multimedia, pages 7599–7607. [find](https://scholar.google.com/scholar?q=Junhong+Gou%2C+Siyu+Sun%2C+Jianfu+Zhang%2C+Jianlou+Si%2C+Chen+Qian%2C+and+Liqing+Zhang%2E+2023%2E+Taming+the+power+of+diffusion+models+for+high%2Dquality+virtual+try%2Don+with+appearance+flow%2E+In+Proceedings+of+the+31s)
97. Shuyang Gu, Jianmin Bao, Dong Chen, and Fang Wen. 2020. Giqa: Generated image quality assessment. In Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XI 16, pages 369–385. Springer. [find](https://scholar.google.com/scholar?q=Shuyang+Gu%2C+Jianmin+Bao%2C+Dong+Chen%2C+and+Fang+Wen%2E+2020%2E+Giqa%3A+Generated+image+quality+assessment%2E+In+Computer+Vision%E2%80%93ECCV+2020%3A+16th+European+Conference%2C+Glasgow%2C+UK%2C+August+23%E2%80%9328%2C+2020%2C+Proceedings%2C+)
98. Yuchao Gu, Xintao Wang, Jay Zhangjie Wu, Yujun Shi, Yunpeng Chen, Zihan Fan, Wuyou Xiao, Rui Zhao, Shuning Chang, Weijia Wu, et al. 2024. Mix-of-show: Decentralized low-rank adaptation for multi-concept customization of diffusion models. Advances in Neural Information Processing Systems, 36. [find](https://scholar.google.com/scholar?q=Yuchao+Gu%2C+Xintao+Wang%2C+Jay+Zhangjie+Wu%2C+Yujun+Shi%2C+Yunpeng+Chen%2C+Zihan+Fan%2C+Wuyou+Xiao%2C+Rui+Zhao%2C+Shuning+Chang%2C+Weijia+Wu%2C+et+al%2E+2024%2E+Mix%2Dof%2Dshow%3A+Decentralized+low%2Drank+adaptation+for+multi%2Dconce)
99. Jiazhi Guan, Zhanwang Zhang, Hang Zhou, Tianshu Hu, Kaisiyuan Wang, Dongliang He, Haocheng Feng, Jingtuo Liu, Errui Ding, Ziwei Liu, et al. 2023. Stylesync: High-fidelity generalized and personalized lip sync in style-based generator. In Proceedings of the IEEE/CVF Conference on Computer Vision and… [find](https://scholar.google.com/scholar?q=Jiazhi+Guan%2C+Zhanwang+Zhang%2C+Hang+Zhou%2C+Tianshu+Hu%2C+Kaisiyuan+Wang%2C+Dongliang+He%2C+Haocheng+Feng%2C+Jingtuo+Liu%2C+Errui+Ding%2C+Ziwei+Liu%2C+et+al%2E+2023%2E+Stylesync%3A+High%2Dfidelity+generalized+and+personalized+)
100. Melody Y Guan, Manas Joglekar, Eric Wallace, Saachi Jain, Boaz Barak, Alec Heylar, Rachel Dias, Andrea Vallone, Hongyu Ren, Jason Wei, et al. 2024. [Deliberative alignment: Reasoning enables safer language models](https://md.research.elamur.ai/free/en/papers/guan-2024-deliberative-alignment-reasoning-enables-safer/). arXiv preprint arXiv:2412.16339.
101. Daya Guo, Dejian Yang, Haowei Zhang, Junxiao Song, Ruoyu Zhang, Runxin Xu, Qihao Zhu, Shirong Ma, Peiyi Wang, Xiao Bi, et al. 2025. [Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning](https://md.research.elamur.ai/free/en/papers/deepseek-ai-2025-deepseek-r1-incentivizing-reasoning-capability/). arXiv preprint arXiv:2501.12948.
102. Junjie He, Yifeng Geng, and Liefeng Bo. 2024a. Uniportrait: A unified framework for identity-preserving single-and multi-human image personalization. arXiv preprint arXiv:2408.05939. — [arXiv:2408.05939](https://arxiv.org/abs/2408.05939) [find](https://scholar.google.com/scholar?q=Junjie+He%2C+Yifeng+Geng%2C+and+Liefeng+Bo%2E+2024a%2E+Uniportrait%3A+A+unified+framework+for+identity%2Dpreserving+single%2Dand+multi%2Dhuman+image+personalization%2E+arXiv+preprint+arXiv%3A2408%2E05939%2E+%E2%80%94+%5BarXiv%3A2408%2E059)
103. Xuanhua He, Quande Liu, Shengju Qian, Xin Wang, Tao Hu, Ke Cao, Keyu Yan, and Jie Zhang. 2024b. Id-animator: Zero-shot identity-preserving human video generation. arXiv preprint arXiv:2404.15275. — [arXiv:2404.15275](https://arxiv.org/abs/2404.15275) [find](https://scholar.google.com/scholar?q=Xuanhua+He%2C+Quande+Liu%2C+Shengju+Qian%2C+Xin+Wang%2C+Tao+Hu%2C+Ke+Cao%2C+Keyu+Yan%2C+and+Jie+Zhang%2E+2024b%2E+Id%2Danimator%3A+Zero%2Dshot+identity%2Dpreserving+human+video+generation%2E+arXiv+preprint+arXiv%3A2404%2E15275%2E+%E2%80%94+%5Ba)
104. Qian Guo, Wei Chen, and Huaiyu Wan. 2021. Aol4ps: A large-scale data set for personalized search. Data Intelligence, 3(4):548–567. [find](https://scholar.google.com/scholar?q=Qian+Guo%2C+Wei+Chen%2C+and+Huaiyu+Wan%2E+2021%2E+Aol4ps%3A+A+large%2Dscale+data+set+for+personalized+search%2E+Data+Intelligence%2C+3%284%29%3A548%E2%80%93567%2E)
105. Yingqing He, Menghan Xia, Haoxin Chen, Xiaodong Cun, Yuan Gong, Jinbo Xing, Yong Zhang, Xintao Wang, Chao Weng, Ying Shan, et al. 2023. Animate-a-story: Storytelling with retrieval-augmented video generation. arXiv preprint arXiv:2307.06940. — [arXiv:2307.06940](https://arxiv.org/abs/2307.06940) [find](https://scholar.google.com/scholar?q=Yingqing+He%2C+Menghan+Xia%2C+Haoxin+Chen%2C+Xiaodong+Cun%2C+Yuan+Gong%2C+Jinbo+Xing%2C+Yong+Zhang%2C+Xintao+Wang%2C+Chao+Weng%2C+Ying+Shan%2C+et+al%2E+2023%2E+Animate%2Da%2Dstory%3A+Storytelling+with+retrieval%2Daugmented+video+gen)
106. Yuwei Guo, Ceyuan Yang, Anyi Rao, Zhengyang Liang, Yaohui Wang, Yu Qiao, Maneesh Agrawala, Dahua Lin, and Bo Dai. 2024a. Animatediff: Animate your personalized text-to-image diffusion models without specific tuning. In The Twelfth International Conference on Learning Representations. [find](https://scholar.google.com/scholar?q=Yuwei+Guo%2C+Ceyuan+Yang%2C+Anyi+Rao%2C+Zhengyang+Liang%2C+Yaohui+Wang%2C+Yu+Qiao%2C+Maneesh+Agrawala%2C+Dahua+Lin%2C+and+Bo+Dai%2E+2024a%2E+Animatediff%3A+Animate+your+personalized+text%2Dto%2Dimage+diffusion+models+without+s)
107. Yutong He, Alexander Robey, Naoki Murata, Yiding Jiang, Joshua Williams, George J Pappas, Hamed Hassani, Yuki Mitsufuji, Ruslan Salakhutdinov, and J Zico Kolter. 2024c. Automated black-box prompt engineering for personalized text-to-image generation. arXiv preprint arXiv:2403.19103. [find](https://scholar.google.com/scholar?q=Yutong+He%2C+Alexander+Robey%2C+Naoki+Murata%2C+Yiding+Jiang%2C+Joshua+Williams%2C+George+J+Pappas%2C+Hamed+Hassani%2C+Yuki+Mitsufuji%2C+Ruslan+Salakhutdinov%2C+and+J+Zico+Kolter%2E+2024c%2E+Automated+black%2Dbox+prompt+engi)
108. Zinan Guo, Yanze Wu, Zhuowei Chen, Lang Chen, Peng Zhang, and Qian He. 2024b. Pulid: Pure and lightning id customization via contrastive alignment. In Advances in Neural Information Processing Systems. [find](https://scholar.google.com/scholar?q=Zinan+Guo%2C+Yanze+Wu%2C+Zhuowei+Chen%2C+Lang+Chen%2C+Peng+Zhang%2C+and+Qian+He%2E+2024b%2E+Pulid%3A+Pure+and+lightning+id+customization+via+contrastive+alignment%2E+In+Advances+in+Neural+Information+Processing+Systems)
109. Zecheng He, Bo Sun, Felix Juefei-Xu, Haoyu Ma, Ankit Ramchandani, Vincent Cheung, Siddharth Shah, Anmol Kalia, Harihar Subramanyam, Alireza Zareian, et al. 2024d. Imagine yourself: Tuning-free personalized image generation. arXiv preprint arXiv:2409.13346. — [arXiv:2409.13346](https://arxiv.org/abs/2409.13346) [find](https://scholar.google.com/scholar?q=Zecheng+He%2C+Bo+Sun%2C+Felix+Juefei%2DXu%2C+Haoyu+Ma%2C+Ankit+Ramchandani%2C+Vincent+Cheung%2C+Siddharth+Shah%2C+Anmol+Kalia%2C+Harihar+Subramanyam%2C+Alireza+Zareian%2C+et+al%2E+2024d%2E+Imagine+yourself%3A+Tuning%2Dfree+persona)
110. Xiaoyu Han, Shunyuan Zheng, Zonglin Li, Chenyang Wang, Xin Sun, and Quanling Meng. 2024. Shape-guided clothing warping for virtual try-on. In Proceedings of the 32nd ACM International Conference on Multimedia, pages 2593–2602. [find](https://scholar.google.com/scholar?q=Xiaoyu+Han%2C+Shunyuan+Zheng%2C+Zonglin+Li%2C+Chenyang+Wang%2C+Xin+Sun%2C+and+Quanling+Meng%2E+2024%2E+Shape%2Dguided+clothing+warping+for+virtual+try%2Don%2E+In+Proceedings+of+the+32nd+ACM+International+Conference+on+Mu)
111. Xintong Han, Zuxuan Wu, Zhe Wu, Ruichi Yu, and Larry S Davis. 2018. Viton: An image-based virtual try-on network. In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 7543–7552. [find](https://scholar.google.com/scholar?q=Xintong+Han%2C+Zuxuan+Wu%2C+Zhe+Wu%2C+Ruichi+Yu%2C+and+Larry+S+Davis%2E+2018%2E+Viton%3A+An+image%2Dbased+virtual+try%2Don+network%2E+In+Proceedings+of+the+IEEE+conference+on+computer+vision+and+pattern+recognition%2C+page)
112. Haoran Hao, Jiaming Han, Changsheng Li, Yu-Feng Li, and Xiangyu Yue. 2024. Remember, retrieve and generate: Understanding infinite visual concepts as your personalized assistant. arXiv preprint arXiv:2410.13360. — [arXiv:2410.13360](https://arxiv.org/abs/2410.13360) [find](https://scholar.google.com/scholar?q=Haoran+Hao%2C+Jiaming+Han%2C+Changsheng+Li%2C+Yu%2DFeng+Li%2C+and+Xiangyu+Yue%2E+2024%2E+Remember%2C+retrieve+and+generate%3A+Understanding+infinite+visual+concepts+as+your+personalized+assistant%2E+arXiv+preprint+arXiv%3A)
113. Shaozhe Hao, Kai Han, Shihao Zhao, and Kwan-Yee K Wong. 2023. Vico: Plug-and-play visual condition for personalized text-to-image generation. arXiv preprint arXiv:2306.00971. — [arXiv:2306.00971](https://arxiv.org/abs/2306.00971) [find](https://scholar.google.com/scholar?q=Shaozhe+Hao%2C+Kai+Han%2C+Shihao+Zhao%2C+and+Kwan%2DYee+K+Wong%2E+2023%2E+Vico%3A+Plug%2Dand%2Dplay+visual+condition+for+personalized+text%2Dto%2Dimage+generation%2E+arXiv+preprint+arXiv%3A2306%2E00971%2E+%E2%80%94+%5BarXiv%3A2306%2E00971%5D%28http)
114. F. Maxwell Harper and Joseph A. Konstan. 2015. The movielens datasets: History and context. ACM Trans. Interact. Intell. Syst., 5(4). [find](https://scholar.google.com/scholar?q=F%2E+Maxwell+Harper+and+Joseph+A%2E+Konstan%2E+2015%2E+The+movielens+datasets%3A+History+and+context%2E+ACM+Trans%2E+Interact%2E+Intell%2E+Syst%2E%2C+5%284%29%2E)
115. Naomi Harte and Eoin Gillen. 2015. Tcd-timit: An audio-visual corpus of continuous speech. IEEE Transactions on Multimedia, 17(5):603–615. [find](https://scholar.google.com/scholar?q=Naomi+Harte+and+Eoin+Gillen%2E+2015%2E+Tcd%2Dtimit%3A+An+audio%2Dvisual+corpus+of+continuous+speech%2E+IEEE+Transactions+on+Multimedia%2C+17%285%29%3A603%E2%80%93615%2E)
116. Curtis Hawthorne, Andriy Stasyuk, Adam Roberts, Ian Simon, Cheng-Zhi Anna Huang, Sander Dieleman, Erich Elsen, Jesse Engel, and Douglas Eck. 2019. Enabling factorized piano music modeling and generation with the MAESTRO dataset. In International Conference on Learning Representations. [find](https://scholar.google.com/scholar?q=Curtis+Hawthorne%2C+Andriy+Stasyuk%2C+Adam+Roberts%2C+Ian+Simon%2C+Cheng%2DZhi+Anna+Huang%2C+Sander+Dieleman%2C+Erich+Elsen%2C+Jesse+Engel%2C+and+Douglas+Eck%2E+2019%2E+Enabling+factorized+piano+music+modeling+and+generati)
117. Zijian He, Peixin Chen, Guangrun Wang, Guanbin Li, Philip HS Torr, and Liang Lin. 2025. Wildvidfit: Video virtual try-on in the wild via image-based controlled diffusion models. In European Conference on Computer Vision, pages 123–139. Springer. [find](https://scholar.google.com/scholar?q=Zijian+He%2C+Peixin+Chen%2C+Guangrun+Wang%2C+Guanbin+Li%2C+Philip+HS+Torr%2C+and+Liang+Lin%2E+2025%2E+Wildvidfit%3A+Video+virtual+try%2Don+in+the+wild+via+image%2Dbased+controlled+diffusion+models%2E+In+European+Conference)
118. Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter. 2017. Gans trained by a two time-scale update rule converge to a local nash equilibrium. Advances in neural information processing systems, 30. [find](https://scholar.google.com/scholar?q=Martin+Heusel%2C+Hubert+Ramsauer%2C+Thomas+Unterthiner%2C+Bernhard+Nessler%2C+and+Sepp+Hochreiter%2E+2017%2E+Gans+trained+by+a+two+time%2Dscale+update+rule+converge+to+a+local+nash+equilibrium%2E+Advances+in+neural+i)
119. Yan Hong, Yuxuan Duan, Bo Zhang, Haoxing Chen, Jun Lan, Huijia Zhu, Weiqiang Wang, and Jianfu Zhang. 2025. Comfusion: Enhancing personalized generation by instance-scene compositing and fusion. In European Conference on Computer Vision, pages 1–18. Springer. [find](https://scholar.google.com/scholar?q=Yan+Hong%2C+Yuxuan+Duan%2C+Bo+Zhang%2C+Haoxing+Chen%2C+Jun+Lan%2C+Huijia+Zhu%2C+Weiqiang+Wang%2C+and+Jianfu+Zhang%2E+2025%2E+Comfusion%3A+Enhancing+personalized+generation+by+instance%2Dscene+compositing+and+fusion%2E+In+Eur)
120. Alain Hore and Djemel Ziou. 2010. Image quality metrics: Psnr vs. ssim. In 2010 20th international conference on pattern recognition, pages 2366–2369. IEEE. [find](https://scholar.google.com/scholar?q=Alain+Hore+and+Djemel+Ziou%2E+2010%2E+Image+quality+metrics%3A+Psnr+vs%2E+ssim%2E+In+2010+20th+international+conference+on+pattern+recognition%2C+pages+2366%E2%80%932369%2E+IEEE%2E)
121. Yupeng Hou, Jiacheng Li, Zhankui He, An Yan, Xiusi Chen, and Julian McAuley. 2024. Bridging language and items for retrieval and recommendation. Preprint, arXiv:2403.03952. — [arXiv:2403.03952](https://arxiv.org/abs/2403.03952) [find](https://scholar.google.com/scholar?q=Yupeng+Hou%2C+Jiacheng+Li%2C+Zhankui+He%2C+An+Yan%2C+Xiusi+Chen%2C+and+Julian+McAuley%2E+2024%2E+Bridging+language+and+items+for+retrieval+and+recommendation%2E+Preprint%2C+arXiv%3A2403%2E03952%2E+%E2%80%94+%5BarXiv%3A2403%2E03952%5D%28https%3A)
122. Hexiang Hu, Kelvin CK Chan, Yu-Chuan Su, Wenhu Chen, Yandong Li, Kihyuk Sohn, Yang Zhao, Xue Ben, Boqing Gong, William Cohen, et al. 2024a. Instruct-imagen: Image generation with multi-modal instruction. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 4754… [find](https://scholar.google.com/scholar?q=Hexiang+Hu%2C+Kelvin+CK+Chan%2C+Yu%2DChuan+Su%2C+Wenhu+Chen%2C+Yandong+Li%2C+Kihyuk+Sohn%2C+Yang+Zhao%2C+Xue+Ben%2C+Boqing+Gong%2C+William+Cohen%2C+et+al%2E+2024a%2E+Instruct%2Dimagen%3A+Image+generation+with+multi%2Dmodal+instructi)
123. Junxing Hu, Hongwen Zhang, Yunlong Wang, Min Ren, and Zhenan Sun. 2023. Personalized graph generation for monocular 3d human pose and shape estimation. IEEE Transactions on Circuits and Systems for Video Technology. [find](https://scholar.google.com/scholar?q=Junxing+Hu%2C+Hongwen+Zhang%2C+Yunlong+Wang%2C+Min+Ren%2C+and+Zhenan+Sun%2E+2023%2E+Personalized+graph+generation+for+monocular+3d+human+pose+and+shape+estimation%2E+IEEE+Transactions+on+Circuits+and+Systems+for+Vi)
124. Li Hu. 2024. Animate anyone: Consistent and controllable image-to-video synthesis for character animation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 8153–8163. [find](https://scholar.google.com/scholar?q=Li+Hu%2E+2024%2E+Animate+anyone%3A+Consistent+and+controllable+image%2Dto%2Dvideo+synthesis+for+character+animation%2E+In+Proceedings+of+the+IEEE%2FCVF+Conference+on+Computer+Vision+and+Pattern+Recognition%2C+pages+8)
125. Xinting Hu, Haoran Wang, Jan Eric Lenssen, and Bernt Schiele. 2025. PersonaHOI: Effortlessly improving personalized face with human-object interaction generation. arXiv preprint. [find](https://scholar.google.com/scholar?q=Xinting+Hu%2C+Haoran+Wang%2C+Jan+Eric+Lenssen%2C+and+Bernt+Schiele%2E+2025%2E+PersonaHOI%3A+Effortlessly+improving+personalized+face+with+human%2Dobject+interaction+generation%2E+arXiv+preprint%2E)
126. Yuke Hu, Jian Lou, Jiaqi Liu, Wangze Ni, Feng Lin, Zhan Qin, and Kui Ren. 2024b. Eraser: Machine unlearning in mlaas via an inference serving-aware approach. In Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security. [find](https://scholar.google.com/scholar?q=Yuke+Hu%2C+Jian+Lou%2C+Jiaqi+Liu%2C+Wangze+Ni%2C+Feng+Lin%2C+Zhan+Qin%2C+and+Kui+Ren%2E+2024b%2E+Eraser%3A+Machine+unlearning+in+mlaas+via+an+inference+serving%2Daware+approach%2E+In+Proceedings+of+the+2024+on+ACM+SIGSAC+C)
127. Zhejing Hu, Yan Liu, Gong Chen, and Yongxu Liu. 2022. Can machines generate personalized music? a hybrid favorite-aware method for user preference music transfer. IEEE Transactions on Multimedia, 25:2296–2308. [find](https://scholar.google.com/scholar?q=Zhejing+Hu%2C+Yan+Liu%2C+Gong+Chen%2C+and+Yongxu+Liu%2E+2022%2E+Can+machines+generate+personalized+music%3F+a+hybrid+favorite%2Daware+method+for+user+preference+music+transfer%2E+IEEE+Transactions+on+Multimedia%2C+25%3A2)
128. Jiancheng Huang, Mingfu Yan, Songyan Chen, Yi Huang, and Shifeng Chen. 2024a. Magicfight: Personalized martial arts combat video generation. In Proceedings of the 32nd ACM International Conference on Multimedia, pages 10833–10842. [find](https://scholar.google.com/scholar?q=Jiancheng+Huang%2C+Mingfu+Yan%2C+Songyan+Chen%2C+Yi+Huang%2C+and+Shifeng+Chen%2E+2024a%2E+Magicfight%3A+Personalized+martial+arts+combat+video+generation%2E+In+Proceedings+of+the+32nd+ACM+International+Conference+on+)
129. Qihan Huang, Long Chan, Jinlong Liu, Wanggui He, Hao Jiang, Mingli Song, and Jie Song. 2024b. Patchdpo: Patch-level dpo for finetuning-free personalized image generation. arXiv preprint arXiv:2412.03177. — [arXiv:2412.03177](https://arxiv.org/abs/2412.03177) [find](https://scholar.google.com/scholar?q=Qihan+Huang%2C+Long+Chan%2C+Jinlong+Liu%2C+Wanggui+He%2C+Hao+Jiang%2C+Mingli+Song%2C+and+Jie+Song%2E+2024b%2E+Patchdpo%3A+Patch%2Dlevel+dpo+for+finetuning%2Dfree+personalized+image+generation%2E+arXiv+preprint+arXiv%3A2412%2E031)
130. Rongjie Huang, Jiawei Huang, Dongchao Yang, Yi Ren, Luping Liu, Mingze Li, Zhenhui Ye, Jinglin Liu, Xiang Yin, and Zhou Zhao. 2023. Make-an-audio: Text-to-audio generation with prompt-enhanced diffusion models. In International Conference on Machine Learning, pages 13916–13932. PMLR. [find](https://scholar.google.com/scholar?q=Rongjie+Huang%2C+Jiawei+Huang%2C+Dongchao+Yang%2C+Yi+Ren%2C+Luping+Liu%2C+Mingze+Li%2C+Zhenhui+Ye%2C+Jinglin+Liu%2C+Xiang+Yin%2C+and+Zhou+Zhao%2E+2023%2E+Make%2Dan%2Daudio%3A+Text%2Dto%2Daudio+generation+with+prompt%2Denhanced+diffusi)
131. Yuge Huang, Yuhan Wang, Ying Tai, Xiaoming Liu, Pengcheng Shen, Shaoxin Li, Jilin Li, and Feiyue Huang. 2020. Curricularface: adaptive curriculum learning loss for deep face recognition. In proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 5901–5910. [find](https://scholar.google.com/scholar?q=Yuge+Huang%2C+Yuhan+Wang%2C+Ying+Tai%2C+Xiaoming+Liu%2C+Pengcheng+Shen%2C+Shaoxin+Li%2C+Jilin+Li%2C+and+Feiyue+Huang%2E+2020%2E+Curricularface%3A+adaptive+curriculum+learning+loss+for+deep+face+recognition%2E+In+proceeding)
132. Yukun Huang, Jianan Wang, Ailing Zeng, He Cao, Xianbiao Qi, Yukai Shi, Zheng-Jun Zha, and Lei Zhang. 2024c. Dreamwaltz: Make a scene with complex 3d animatable avatars. Advances in Neural Information Processing Systems, 36. [find](https://scholar.google.com/scholar?q=Yukun+Huang%2C+Jianan+Wang%2C+Ailing+Zeng%2C+He+Cao%2C+Xianbiao+Qi%2C+Yukai+Shi%2C+Zheng%2DJun+Zha%2C+and+Lei+Zhang%2E+2024c%2E+Dreamwaltz%3A+Make+a+scene+with+complex+3d+animatable+avatars%2E+Advances+in+Neural+Information+)
133. Zhichao Huang, Xintong Han, Jia Xu, and Tong Zhang. 2021. Few-shot human motion transfer by personalized geometry and texture modeling. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 2297–2306. [find](https://scholar.google.com/scholar?q=Zhichao+Huang%2C+Xintong+Han%2C+Jia+Xu%2C+and+Tong+Zhang%2E+2021%2E+Few%2Dshot+human+motion+transfer+by+personalized+geometry+and+texture+modeling%2E+In+Proceedings+of+the+IEEE%2FCVF+Conference+on+Computer+Vision+and)
134. Ziqi Huang, Yinan He, Jiashuo Yu, Fan Zhang, Chenyang Si, Yuming Jiang, Yuanhan Zhang, Tianxing Wu, Qingyang Jin, Nattapol Chanpaisit, et al. 2024d. Vbench: Comprehensive benchmark suite for video generative models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition… [find](https://scholar.google.com/scholar?q=Ziqi+Huang%2C+Yinan+He%2C+Jiashuo+Yu%2C+Fan+Zhang%2C+Chenyang+Si%2C+Yuming+Jiang%2C+Yuanhan+Zhang%2C+Tianxing+Wu%2C+Qingyang+Jin%2C+Nattapol+Chanpaisit%2C+et+al%2E+2024d%2E+Vbench%3A+Comprehensive+benchmark+suite+for+video+gen)
135. Ziqi Huang, Tianxing Wu, Yuming Jiang, Kelvin C.K. Chan, and Ziwei Liu. 2024e. ReVersion: Diffusion-based relation inversion from images. In SIGGRAPH Asia 2024 Conference Papers. [find](https://scholar.google.com/scholar?q=Ziqi+Huang%2C+Tianxing+Wu%2C+Yuming+Jiang%2C+Kelvin+C%2EK%2E+Chan%2C+and+Ziwei+Liu%2E+2024e%2E+ReVersion%3A+Diffusion%2Dbased+relation+inversion+from+images%2E+In+SIGGRAPH+Asia+2024+Conference+Papers%2E)
136. Yu-Kai Hung, Yun-Chien Huang, Ting-Yu Su, Yen-Ting Lin, Lung-Pan Cheng, Bryan Wang, and Shao-Hua Sun. 2024. Simtube: Generating simulated video comments through multimodal ai and user personas. arXiv preprint arXiv:2411.09577. — [arXiv:2411.09577](https://arxiv.org/abs/2411.09577) [find](https://scholar.google.com/scholar?q=Yu%2DKai+Hung%2C+Yun%2DChien+Huang%2C+Ting%2DYu+Su%2C+Yen%2DTing+Lin%2C+Lung%2DPan+Cheng%2C+Bryan+Wang%2C+and+Shao%2DHua+Sun%2E+2024%2E+Simtube%3A+Generating+simulated+video+comments+through+multimodal+ai+and+user+personas%2E+arXiv+)
137. Minyoung Hwang, Luca Weihs, Chanwoo Park, Kimin Lee, Aniruddha Kembhavi, and Kiana Ehsani. 2024. Promptable behaviors: Personalizing multi-objective rewards from human preferences. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 16216–16226. [find](https://scholar.google.com/scholar?q=Minyoung+Hwang%2C+Luca+Weihs%2C+Chanwoo+Park%2C+Kimin+Lee%2C+Aniruddha+Kembhavi%2C+and+Kiana+Ehsani%2E+2024%2E+Promptable+behaviors%3A+Personalizing+multi%2Dobjective+rewards+from+human+preferences%2E+In+Proceedings+of+t)
138. Catalin Ionescu, Dragos Papava, Vlad Olaru, and Cristian Sminchisescu. 2013. Human3. 6m: Large scale datasets and predictive methods for 3d human sensing in natural environments. IEEE transactions on pattern analysis and machine intelligence, 36(7):1325– 1339. [find](https://scholar.google.com/scholar?q=Catalin+Ionescu%2C+Dragos+Papava%2C+Vlad+Olaru%2C+and+Cristian+Sminchisescu%2E+2013%2E+Human3%2E+6m%3A+Large+scale+datasets+and+predictive+methods+for+3d+human+sensing+in+natural+environments%2E+IEEE+transactions+on+)
139. Yasamin Jafarian and Hyun Soo Park. 2021. Learning high fidelity depths of dressed humans by watching social media dance videos. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 12753–12762. [find](https://scholar.google.com/scholar?q=Yasamin+Jafarian+and+Hyun+Soo+Park%2E+2021%2E+Learning+high+fidelity+depths+of+dressed+humans+by+watching+social+media+dance+videos%2E+In+Proceedings+of+the+IEEE%2FCVF+Conference+on+Computer+Vision+and+Patter)
140. Surgan Jandial, Ayush Chopra, Kumar Ayush, Mayur Hemani, Balaji Krishnamurthy, and Abhijeet Hal-wai. 2020. Sievenet: A unified framework for robust image-based virtual try-on. In Proceedings of the IEEE/CVF winter conference on applications of computer vision, pages 2182–2190. [find](https://scholar.google.com/scholar?q=Surgan+Jandial%2C+Ayush+Chopra%2C+Kumar+Ayush%2C+Mayur+Hemani%2C+Balaji+Krishnamurthy%2C+and+Abhijeet+Hal%2Dwai%2E+2020%2E+Sievenet%3A+A+unified+framework+for+robust+image%2Dbased+virtual+try%2Don%2E+In+Proceedings+of+the+IE)
141. Yoonna Jang, Jung Hoon Lim, Yuna Hur, Dongsuk Oh, Suhyune Son, Yeonsoo Lee, Donghoon Shin, Seungryong Kim, and Heuiseok Lim. 2021. Call for customized conversation: Customized conversation grounding persona and knowledge. In AAAI Conference on Artificial Intelligence. [find](https://scholar.google.com/scholar?q=Yoonna+Jang%2C+Jung+Hoon+Lim%2C+Yuna+Hur%2C+Dongsuk+Oh%2C+Suhyune+Son%2C+Yeonsoo+Lee%2C+Donghoon+Shin%2C+Seungryong+Kim%2C+and+Heuiseok+Lim%2E+2021%2E+Call+for+customized+conversation%3A+Customized+conversation+grounding+p)
142. Kalervo Järvelin and Jaana Kekäläinen. 2002. Cumulated gain-based evaluation of ir techniques. ACM Trans. Inf. Syst., 20(4):422–446. [find](https://scholar.google.com/scholar?q=Kalervo+J%C3%A4rvelin+and+Jaana+Kek%C3%A4l%C3%A4inen%2E+2002%2E+Cumulated+gain%2Dbased+evaluation+of+ir+techniques%2E+ACM+Trans%2E+Inf%2E+Syst%2E%2C+20%284%29%3A422%E2%80%93446%2E)
143. Feibo Jiang, Li Dong, Siwei Tu, Yubo Peng, Kezhi Wang, Kun Yang, Cunhua Pan, and Dusit Niyato. 2024a. Personalized wireless federated learning for large language models. arXiv preprint arXiv:2404.13238. — [arXiv:2404.13238](https://arxiv.org/abs/2404.13238) [find](https://scholar.google.com/scholar?q=Feibo+Jiang%2C+Li+Dong%2C+Siwei+Tu%2C+Yubo+Peng%2C+Kezhi+Wang%2C+Kun+Yang%2C+Cunhua+Pan%2C+and+Dusit+Niyato%2E+2024a%2E+Personalized+wireless+federated+learning+for+large+language+models%2E+arXiv+preprint+arXiv%3A2404%2E1323)
144. Jianbin Jiang, Tan Wang, He Yan, and Junhui Liu. 2022a. Clothformer: Taming video virtual try-on in all module. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 10799–10808. [find](https://scholar.google.com/scholar?q=Jianbin+Jiang%2C+Tan+Wang%2C+He+Yan%2C+and+Junhui+Liu%2E+2022a%2E+Clothformer%3A+Taming+video+virtual+try%2Don+in+all+module%2E+In+Proceedings+of+the+IEEE%2FCVF+Conference+on+Computer+Vision+and+Pattern+Recognition%2C+pa)
145. Yuming Jiang, Tianxing Wu, Shuai Yang, Chenyang Si, Dahua Lin, Yu Qiao, Chen Change Loy, and Ziwei Liu. 2024b. Videobooth: Diffusion-based video generation with image prompts. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 6689–6700. [find](https://scholar.google.com/scholar?q=Yuming+Jiang%2C+Tianxing+Wu%2C+Shuai+Yang%2C+Chenyang+Si%2C+Dahua+Lin%2C+Yu+Qiao%2C+Chen+Change+Loy%2C+and+Ziwei+Liu%2E+2024b%2E+Videobooth%3A+Diffusion%2Dbased+video+generation+with+image+prompts%2E+In+Proceedings+of+the+IE)
146. Yuming Jiang, Shuai Yang, Haonan Qiu, Wayne Wu, Chen Change Loy, and Ziwei Liu. 2022b. Text2human: Text-driven controllable human image generation. ACM Transactions on Graphics (TOG), 41(4):1–11. [find](https://scholar.google.com/scholar?q=Yuming+Jiang%2C+Shuai+Yang%2C+Haonan+Qiu%2C+Wayne+Wu%2C+Chen+Change+Loy%2C+and+Ziwei+Liu%2E+2022b%2E+Text2human%3A+Text%2Ddriven+controllable+human+image+generation%2E+ACM+Transactions+on+Graphics+%28TOG%29%2C+41%284%29%3A1%E2%80%9311%2E)
147. Yuming Jiang, Nanxuan Zhao, Qing Liu, Krishna Kumar Singh, Shuai Yang, Chen Change Loy, and Ziwei Liu. 2025. Groupdiff: Diffusion-based group portrait editing. In European Conference on Computer Vision, pages 221–239. Springer. [find](https://scholar.google.com/scholar?q=Yuming+Jiang%2C+Nanxuan+Zhao%2C+Qing+Liu%2C+Krishna+Kumar+Singh%2C+Shuai+Yang%2C+Chen+Change+Loy%2C+and+Ziwei+Liu%2E+2025%2E+Groupdiff%3A+Diffusion%2Dbased+group+portrait+editing%2E+In+European+Conference+on+Computer+Visio)
148. Justin Johnson, Alexandre Alahi, and Li Fei-Fei. 2016. Perceptual losses for real-time style transfer and super-resolution. In Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part II 14, pages 694–711. Springer. [find](https://scholar.google.com/scholar?q=Justin+Johnson%2C+Alexandre+Alahi%2C+and+Li+Fei%2DFei%2E+2016%2E+Perceptual+losses+for+real%2Dtime+style+transfer+and+super%2Dresolution%2E+In+Computer+Vision%E2%80%93ECCV+2016%3A+14th+European+Conference%2C+Amsterdam%2C+The+Nethe)
149. Wijdane Kaiss, Khalifa Mansouri, and Franck Poirier. 2023. Pre-Evaluation with a Personalized Feedback Conversational Agent Integrated in Moodle. International Journal of Emerging Technologies in Learning, 18(06):177–189. [find](https://scholar.google.com/scholar?q=Wijdane+Kaiss%2C+Khalifa+Mansouri%2C+and+Franck+Poirier%2E+2023%2E+Pre%2DEvaluation+with+a+Personalized+Feedback+Conversational+Agent+Integrated+in+Moodle%2E+International+Journal+of+Emerging+Technologies+in+Lear)
150. Johanna Karras, Aleksander Holynski, Ting-Chun Wang, and Ira Kemelmacher-Shlizerman. 2023. Dreampose: Fashion video synthesis with stable diffusion. In Proceedings of the IEEE/CVF International Conference on Computer Vision, pages 22680– 22690. [find](https://scholar.google.com/scholar?q=Johanna+Karras%2C+Aleksander+Holynski%2C+Ting%2DChun+Wang%2C+and+Ira+Kemelmacher%2DShlizerman%2E+2023%2E+Dreampose%3A+Fashion+video+synthesis+with+stable+diffusion%2E+In+Proceedings+of+the+IEEE%2FCVF+International+Confer)
151. Junjie Ke, Qifei Wang, Yilin Wang, Peyman Milanfar, and Feng Yang. 2021. Musiq: Multi-scale image quality transformer. In Proceedings of the IEEE/CVF international conference on computer vision, pages 5148–5157. [find](https://scholar.google.com/scholar?q=Junjie+Ke%2C+Qifei+Wang%2C+Yilin+Wang%2C+Peyman+Milanfar%2C+and+Feng+Yang%2E+2021%2E+Musiq%3A+Multi%2Dscale+image+quality+transformer%2E+In+Proceedings+of+the+IEEE%2FCVF+international+conference+on+computer+vision%2C+pages)
152. Diane Kelly and Nicholas J. Belkin. 2002. A user modeling system for personalized interaction and tailored retrieval in interactive ir. Proceedings of the ASIST Annual Meeting, 39:316–325. [find](https://scholar.google.com/scholar?q=Diane+Kelly+and+Nicholas+J%2E+Belkin%2E+2002%2E+A+user+modeling+system+for+personalized+interaction+and+tailored+retrieval+in+interactive+ir%2E+Proceedings+of+the+ASIST+Annual+Meeting%2C+39%3A316%E2%80%93325%2E)
153. Taekyung Ki and Dongchan Min. 2023. Stylelipsync: Style-based personalized lip-sync video generation. In Proceedings of the IEEE/CVF International Conference on Computer Vision, pages 22841–22850. [find](https://scholar.google.com/scholar?q=Taekyung+Ki+and+Dongchan+Min%2E+2023%2E+Stylelipsync%3A+Style%2Dbased+personalized+lip%2Dsync+video+generation%2E+In+Proceedings+of+the+IEEE%2FCVF+International+Conference+on+Computer+Vision%2C+pages+22841%E2%80%9322850%2E)
154. Kevin Kilgour, Mauricio Zuluaga, Dominik Roblek, and Matthew Sharifi. 2018. Fr\\’echet audio distance: A metric for evaluating music enhancement algorithms. arXiv preprint arXiv:1812.08466. — [arXiv:1812.08466](https://arxiv.org/abs/1812.08466) [find](https://scholar.google.com/scholar?q=Kevin+Kilgour%2C+Mauricio+Zuluaga%2C+Dominik+Roblek%2C+and+Matthew+Sharifi%2E+2018%2E+Fr%5C%5C%E2%80%99echet+audio+distance%3A+A+metric+for+evaluating+music+enhancement+algorithms%2E+arXiv+preprint+arXiv%3A1812%2E08466%2E+%E2%80%94+%5BarXiv%3A1)
155. Chris Dongjoo Kim, Byeongchang Kim, Hyunmin Lee, and Gunhee Kim. 2019. [Audiocaps: Generating captions for audios in the wild](https://md.research.elamur.ai/free/en/papers/kim-2019-audiocaps-generating-captions-audios-wild/). In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Pa…
156. Jeongho Kim, Guojung Gu, Minho Park, Sunghyun Park, and Jaegul Choo. 2024a. Stableviton: Learning semantic correspondence with latent diffusion model for virtual try-on. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 8176–8185. [find](https://scholar.google.com/scholar?q=Jeongho+Kim%2C+Guojung+Gu%2C+Minho+Park%2C+Sunghyun+Park%2C+and+Jaegul+Choo%2E+2024a%2E+Stableviton%3A+Learning+semantic+correspondence+with+latent+diffusion+model+for+virtual+try%2Don%2E+In+Proceedings+of+the+IEEE%2FCVF)
157. Kangyeol Kim, Wooseok Seo, Sehyun Nam, Bodam Kim, Suhyeon Jeong, Wonwoo Cho, Jaegul Choo, and Youngjae Yu. 2024b. Layout-and-retouch: A dual-stage framework for improving diversity in personalized image generation. arXiv preprint arXiv:2407.09779. — [arXiv:2407.09779](https://arxiv.org/abs/2407.09779) [find](https://scholar.google.com/scholar?q=Kangyeol+Kim%2C+Wooseok+Seo%2C+Sehyun+Nam%2C+Bodam+Kim%2C+Suhyeon+Jeong%2C+Wonwoo+Cho%2C+Jaegul+Choo%2C+and+Youngjae+Yu%2E+2024b%2E+Layout%2Dand%2Dretouch%3A+A+dual%2Dstage+framework+for+improving+diversity+in+personalized+ima)
158. Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen. 2018. Progressive growing of GANs for improved quality, stability, and variation. In International Conference on Learning Representations. [find](https://scholar.google.com/scholar?q=Tero+Karras%2C+Timo+Aila%2C+Samuli+Laine%2C+and+Jaakko+Lehtinen%2E+2018%2E+Progressive+growing+of+GANs+for+improved+quality%2C+stability%2C+and+variation%2E+In+International+Conference+on+Learning+Representations%2E)
159. Minchul Kim, Anil K Jain, and Xiaoming Liu. 2022. Adaface: Quality adaptive margin for face recognition. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 18750–18759. [find](https://scholar.google.com/scholar?q=Minchul+Kim%2C+Anil+K+Jain%2C+and+Xiaoming+Liu%2E+2022%2E+Adaface%3A+Quality+adaptive+margin+for+face+recognition%2E+In+Proceedings+of+the+IEEE%2FCVF+conference+on+computer+vision+and+pattern+recognition%2C+pages+187)
160. Tero Karras, Samuli Laine, and Timo Aila. 2019. A style-based generator architecture for generative adversarial networks. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 4396–4405. [find](https://scholar.google.com/scholar?q=Tero+Karras%2C+Samuli+Laine%2C+and+Timo+Aila%2E+2019%2E+A+style%2Dbased+generator+architecture+for+generative+adversarial+networks%2E+In+2019+IEEE%2FCVF+Conference+on+Computer+Vision+and+Pattern+Recognition+%28CVPR%29%2C)
161. Yuval Kirstain, Adam Polyak, Uriel Singer, Shahbuland Matiana, Joe Penna, and Omer Levy. 2023. Pick-a-pic: An open dataset of user preferences for text-to-image generation. Advances in Neural Information Processing Systems, 36:36652–36663. [find](https://scholar.google.com/scholar?q=Yuval+Kirstain%2C+Adam+Polyak%2C+Uriel+Singer%2C+Shahbuland+Matiana%2C+Joe+Penna%2C+and+Omer+Levy%2E+2023%2E+Pick%2Da%2Dpic%3A+An+open+dataset+of+user+preferences+for+text%2Dto%2Dimage+generation%2E+Advances+in+Neural+Informat)
162. Tero Karras, Samuli Laine, and Timo Aila. 2021. A style-based generator architecture for generative adversarial networks. IEEE Trans. Pattern Anal. Mach. Intell., 43(12):4217–4228. [find](https://scholar.google.com/scholar?q=Tero+Karras%2C+Samuli+Laine%2C+and+Timo+Aila%2E+2021%2E+A+style%2Dbased+generator+architecture+for+generative+adversarial+networks%2E+IEEE+Trans%2E+Pattern+Anal%2E+Mach%2E+Intell%2E%2C+43%2812%29%3A4217%E2%80%934228%2E)
163. Jaehoon Ko, Kyusun Cho, Joungbin Lee, Heeji Yoon, Sangmin Lee, Sangjun Ahn, and Seungryong Kim. 2024. Talk3d: High-fidelity talking portrait synthesis via personalized 3d generative prior. arXiv preprint arXiv:2403.20153. — [arXiv:2403.20153](https://arxiv.org/abs/2403.20153) [find](https://scholar.google.com/scholar?q=Jaehoon+Ko%2C+Kyusun+Cho%2C+Joungbin+Lee%2C+Heeji+Yoon%2C+Sangmin+Lee%2C+Sangjun+Ahn%2C+and+Seungryong+Kim%2E+2024%2E+Talk3d%3A+High%2Dfidelity+talking+portrait+synthesis+via+personalized+3d+generative+prior%2E+arXiv+prepr)
164. Pranav Kasela, Marco Braga, Gabriella Pasi, and Raffaele Perego. 2024. Se-pqa: Personalized community question answering. In Companion Proceedings of the ACM Web Conference 2024, WWW ’24, page 1095–1098, New York, NY, USA. Association for Computing Machinery. [find](https://scholar.google.com/scholar?q=Pranav+Kasela%2C+Marco+Braga%2C+Gabriella+Pasi%2C+and+Raffaele+Perego%2E+2024%2E+Se%2Dpqa%3A+Personalized+community+question+answering%2E+In+Companion+Proceedings+of+the+ACM+Web+Conference+2024%2C+WWW+%E2%80%9924%2C+page+1095%E2%80%9310)
165. Ahmet Baki Kocaballi, Shlomo Berkovsky, Juan C Quiroz, Liliana Laranjo, Huong Ly Tong, Dana Rezazadegan, Agustina Briatore, and Enrico Coiera. 2019. The personalization of conversational agents in health care: Systematic review. J Med Internet Res, 21(11):e15360. [find](https://scholar.google.com/scholar?q=Ahmet+Baki+Kocaballi%2C+Shlomo+Berkovsky%2C+Juan+C+Quiroz%2C+Liliana+Laranjo%2C+Huong+Ly+Tong%2C+Dana+Rezazadegan%2C+Agustina+Briatore%2C+and+Enrico+Coiera%2E+2019%2E+The+personalization+of+conversational+agents+in+hea)
166. Tom Kocmi and Christian Federmann. 2023. Large language models are state-of-the-art evaluators of translation quality. Preprint, arXiv:2302.14520. [find](https://scholar.google.com/scholar?q=Tom+Kocmi+and+Christian+Federmann%2E+2023%2E+Large+language+models+are+state%2Dof%2Dthe%2Dart+evaluators+of+translation+quality%2E+Preprint%2C+arXiv%3A2302%2E14520%2E)
167. Michael Bendersky. 2023a. Teach llms to personalize – an approach inspired by writing education. Preprint, arXiv:2308.07968. — [arXiv:2308.07968](https://arxiv.org/abs/2308.07968) [find](https://scholar.google.com/scholar?q=Michael+Bendersky%2E+2023a%2E+Teach+llms+to+personalize+%E2%80%93+an+approach+inspired+by+writing+education%2E+Preprint%2C+arXiv%3A2308%2E07968%2E+%E2%80%94+%5BarXiv%3A2308%2E07968%5D%28https%3A%2F%2Farxiv%2Eorg%2Fabs%2F2308%2E07968%29)
168. Satwik Kottur, Xiaoyu Wang, and Vitor Carvalho. 2017. Exploring personalized neural conversational models. In Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI-17, pages 3728–3734. [find](https://scholar.google.com/scholar?q=Satwik+Kottur%2C+Xiaoyu+Wang%2C+and+Vitor+Carvalho%2E+2017%2E+Exploring+personalized+neural+conversational+models%2E+In+Proceedings+of+the+Twenty%2DSixth+International+Joint+Conference+on+Artificial+Intelligence%2C)
169. Dongxu Li, Junnan Li, and Steven Hoi. 2024b. Blip-diffusion: Pre-trained subject representation for controllable text-to-image generation and editing. Advances in Neural Information Processing Systems, 36. [find](https://scholar.google.com/scholar?q=Dongxu+Li%2C+Junnan+Li%2C+and+Steven+Hoi%2E+2024b%2E+Blip%2Ddiffusion%3A+Pre%2Dtrained+subject+representation+for+controllable+text%2Dto%2Dimage+generation+and+editing%2E+Advances+in+Neural+Information+Processing+Systems)
170. Sumith Kulal, Tim Brooks, Alex Aiken, Jiajun Wu, Jimei Yang, Jingwan Lu, Alexei A Efros, and Krishna Kumar Singh. 2023. Putting people in their place: Affordance-aware human insertion into scenes. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 17089– 1709… [find](https://scholar.google.com/scholar?q=Sumith+Kulal%2C+Tim+Brooks%2C+Alex+Aiken%2C+Jiajun+Wu%2C+Jimei+Yang%2C+Jingwan+Lu%2C+Alexei+A+Efros%2C+and+Krishna+Kumar+Singh%2E+2023%2E+Putting+people+in+their+place%3A+Affordance%2Daware+human+insertion+into+scenes%2E+In+)
171. Hengjia Li, Haonan Qiu, Shiwei Zhang, Xiang Wang, Yujie Wei, Zekun Li, Yingya Zhang, Boxi Wu, and Deng Cai. 2024c. Personalvideo: High id-fidelity video customization without dynamic and semantic degradation. arXiv preprint arXiv:2411.17048. — [arXiv:2411.17048](https://arxiv.org/abs/2411.17048) [find](https://scholar.google.com/scholar?q=Hengjia+Li%2C+Haonan+Qiu%2C+Shiwei+Zhang%2C+Xiang+Wang%2C+Yujie+Wei%2C+Zekun+Li%2C+Yingya+Zhang%2C+Boxi+Wu%2C+and+Deng+Cai%2E+2024c%2E+Personalvideo%3A+High+id%2Dfidelity+video+customization+without+dynamic+and+semantic+degr)
172. Ishita Kumar, Snigdha Viswanathan, Sushrita Yerra, Alireza Salemi, Ryan A. Rossi, Franck Dernoncourt, Hanieh Deilamsalehy, Xiang Chen, Ruiyi Zhang, Shubham Agarwal, Nedim Lipka, Chien Van Nguyen, Thien Huu Nguyen, and Hamed Zamani. 2024a. Longlamp: A benchmark for personalized long-form text generat… — [arXiv:2407.11016](https://arxiv.org/abs/2407.11016) [find](https://scholar.google.com/scholar?q=Ishita+Kumar%2C+Snigdha+Viswanathan%2C+Sushrita+Yerra%2C+Alireza+Salemi%2C+Ryan+A%2E+Rossi%2C+Franck+Dernoncourt%2C+Hanieh+Deilamsalehy%2C+Xiang+Chen%2C+Ruiyi+Zhang%2C+Shubham+Agarwal%2C+Nedim+Lipka%2C+Chien+Van+Nguyen%2C+Thie)
173. Sachin Kumar, Chan Young Park, Yulia Tsvetkov, Noah A. Smith, and Hannaneh Hajishirzi. 2024b. Compo: Community preferences for language model personalization. Preprint, arXiv:2410.16027. [find](https://scholar.google.com/scholar?q=Sachin+Kumar%2C+Chan+Young+Park%2C+Yulia+Tsvetkov%2C+Noah+A%2E+Smith%2C+and+Hannaneh+Hajishirzi%2E+2024b%2E+Compo%3A+Community+preferences+for+language+model+personalization%2E+Preprint%2C+arXiv%3A2410%2E16027%2E)
174. Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, and Jun-Yan Zhu. 2023. Multi-concept customization of text-to-image diffusion. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 1931–1941. [find](https://scholar.google.com/scholar?q=Nupur+Kumari%2C+Bingliang+Zhang%2C+Richard+Zhang%2C+Eli+Shechtman%2C+and+Jun%2DYan+Zhu%2E+2023%2E+Multi%2Dconcept+customization+of+text%2Dto%2Dimage+diffusion%2E+In+Proceedings+of+the+IEEE%2FCVF+Conference+on+Computer+Vision)
175. Tomo Lazovich. 2023. Filter bubbles and affective polarization in user-personalized large language model outputs. In Proceedings on "I Can’t Believe It’s Not Better: Failure Modes in the Age of Foundation Models" at NeurIPS 2023 Workshops, volume 239 of Proceedings of Machine Learning Research, page… [find](https://scholar.google.com/scholar?q=Tomo+Lazovich%2E+2023%2E+Filter+bubbles+and+affective+polarization+in+user%2Dpersonalized+large+language+model+outputs%2E+In+Proceedings+on+%22I+Can%E2%80%99t+Believe+It%E2%80%99s+Not+Better%3A+Failure+Modes+in+the+Age+of+Founda)
176. Matthew Le, Apoorv Vyas, Bowen Shi, Brian Karrer, Leda Sari, Rashel Moritz, Mary Williamson, Vimal Manohar, Yossi Adi, Jay Mahadeokar, et al. 2023. Voicebox: Text-guided multilingual universal speech generation at scale. Advances in neural information processing systems, 36:14005–14034. [find](https://scholar.google.com/scholar?q=Matthew+Le%2C+Apoorv+Vyas%2C+Bowen+Shi%2C+Brian+Karrer%2C+Leda+Sari%2C+Rashel+Moritz%2C+Mary+Williamson%2C+Vimal+Manohar%2C+Yossi+Adi%2C+Jay+Mahadeokar%2C+et+al%2E+2023%2E+Voicebox%3A+Text%2Dguided+multilingual+universal+speech+)
177. Sangyun Lee, Gyojung Gu, Sunghyun Park, Seunghwan Choi, and Jaegul Choo. 2022. High-resolution virtual try-on with misalignment and occlusion-handled conditions. In European Conference on Computer Vision, pages 204–219. Springer. [find](https://scholar.google.com/scholar?q=Sangyun+Lee%2C+Gyojung+Gu%2C+Sunghyun+Park%2C+Seunghwan+Choi%2C+and+Jaegul+Choo%2E+2022%2E+High%2Dresolution+virtual+try%2Don+with+misalignment+and+occlusion%2Dhandled+conditions%2E+In+European+Conference+on+Computer+Vis)
178. Boyi Li, Jathushan Rajasegaran, Yossi Gandelsman, Alexei A Efros, and Jitendra Malik. 2024a. Synthesizing moving people with 3d control. arXiv preprint arXiv:2401.10889. — [arXiv:2401.10889](https://arxiv.org/abs/2401.10889) [find](https://scholar.google.com/scholar?q=Boyi+Li%2C+Jathushan+Rajasegaran%2C+Yossi+Gandelsman%2C+Alexei+A+Efros%2C+and+Jitendra+Malik%2E+2024a%2E+Synthesizing+moving+people+with+3d+control%2E+arXiv+preprint+arXiv%3A2401%2E10889%2E+%E2%80%94+%5BarXiv%3A2401%2E10889%5D%28https%3A%2F%2Fa)
179. Cheng Li, Mingyang Zhang, Qiaozhu Mei, Yaqing Wang, Spurthi Amba Hombaiah, Yi Liang, and Jiahe Li, Jiawei Zhang, Xiao Bai, Jun Zhou, and Lin Gu. 2023b. Efficient region-aware neural radiance fields for high-fidelity talking portrait synthesis. In Proceedings of the IEEE/CVF International Conference… [find](https://scholar.google.com/scholar?q=Cheng+Li%2C+Mingyang+Zhang%2C+Qiaozhu+Mei%2C+Yaqing+Wang%2C+Spurthi+Amba+Hombaiah%2C+Yi+Liang%2C+and+Jiahe+Li%2C+Jiawei+Zhang%2C+Xiao+Bai%2C+Jun+Zhou%2C+and+Lin+Gu%2E+2023b%2E+Efficient+region%2Daware+neural+radiance+fields+fo)
180. Lei Li, Yongfeng Zhang, and Li Chen. 2020. Generate neural template explanations for recommendation. In Proceedings of the 29th ACM International Conference on Information & Knowledge Management, pages 755–764. [find](https://scholar.google.com/scholar?q=Lei+Li%2C+Yongfeng+Zhang%2C+and+Li+Chen%2E+2020%2E+Generate+neural+template+explanations+for+recommendation%2E+In+Proceedings+of+the+29th+ACM+International+Conference+on+Information+%26+Knowledge+Management%2C+page)
181. Lei Li, Yongfeng Zhang, and Li Chen. 2021. Personalized transformer for explainable recommendation. arXiv preprint arXiv:2105.11601. [find](https://scholar.google.com/scholar?q=Lei+Li%2C+Yongfeng+Zhang%2C+and+Li+Chen%2E+2021%2E+Personalized+transformer+for+explainable+recommendation%2E+arXiv+preprint+arXiv%3A2105%2E11601%2E)
182. Wei Li, Xue Xu, Jiachen Liu, and Xinyan Xiao. 2024d. UNIMO-G: Unified image generation through multimodal conditional diffusion. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 6173–6188. Association for Computational Linguist… [find](https://scholar.google.com/scholar?q=Wei+Li%2C+Xue+Xu%2C+Jiachen+Liu%2C+and+Xinyan+Xiao%2E+2024d%2E+UNIMO%2DG%3A+Unified+image+generation+through+multimodal+conditional+diffusion%2E+In+Proceedings+of+the+62nd+Annual+Meeting+of+the+Association+for+Comput)
183. Xiang Li, Lei Meng, Lei Wu, Manyi Li, and Xiangxu Meng. 2024e. Dreamfont3d: personalized text-to-3d artistic font generation. In ACM SIGGRAPH 2024 Conference Papers, pages 1–11. [find](https://scholar.google.com/scholar?q=Xiang+Li%2C+Lei+Meng%2C+Lei+Wu%2C+Manyi+Li%2C+and+Xiangxu+Meng%2E+2024e%2E+Dreamfont3d%3A+personalized+text%2Dto%2D3d+artistic+font+generation%2E+In+ACM+SIGGRAPH+2024+Conference+Papers%2C+pages+1%E2%80%9311%2E)
184. Xiaoming Li, Xinyu Hou, and Chen Change Loy. 2024f. When stylegan meets stable diffusion: a w+ adapter for personalized image generation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 2187–2196. [find](https://scholar.google.com/scholar?q=Xiaoming+Li%2C+Xinyu+Hou%2C+and+Chen+Change+Loy%2E+2024f%2E+When+stylegan+meets+stable+diffusion%3A+a+w%2B+adapter+for+personalized+image+generation%2E+In+Proceedings+of+the+IEEE%2FCVF+Conference+on+Computer+Vision+a)
185. Xiaoming Li, Shiguang Zhang, Shangchen Zhou, Lei Zhang, and Wangmeng Zuo. 2022. Learning dual memory dictionaries for blind face restoration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(5):5904–5917. [find](https://scholar.google.com/scholar?q=Xiaoming+Li%2C+Shiguang+Zhang%2C+Shangchen+Zhou%2C+Lei+Zhang%2C+and+Wangmeng+Zuo%2E+2022%2E+Learning+dual+memory+dictionaries+for+blind+face+restoration%2E+IEEE+Transactions+on+Pattern+Analysis+and+Machine+Intellig)
186. Xiaopeng Li, Pengyue Jia, Derong Xu, Yi Wen, Yingyi Zhang, Wenlin Zhang, Wanyu Wang, Yichao Wang, Zhaocheng Du, Xiangyang Li, et al. 2025a. A survey of personalization: From rag to agent. arXiv preprint arXiv:2504.10147. — [arXiv:2504.10147](https://arxiv.org/abs/2504.10147) [find](https://scholar.google.com/scholar?q=Xiaopeng+Li%2C+Pengyue+Jia%2C+Derong+Xu%2C+Yi+Wen%2C+Yingyi+Zhang%2C+Wenlin+Zhang%2C+Wanyu+Wang%2C+Yichao+Wang%2C+Zhaocheng+Du%2C+Xiangyang+Li%2C+et+al%2E+2025a%2E+A+survey+of+personalization%3A+From+rag+to+agent%2E+arXiv+prepri)
187. Xinyu Li, Ruiyang Zhou, Zachary C. Lipton, and Liu Leqi. 2024g. Personalized language modeling from personalized human feedback. Preprint, arXiv:2402.05133. — [arXiv:2402.05133](https://arxiv.org/abs/2402.05133) [find](https://scholar.google.com/scholar?q=Xinyu+Li%2C+Ruiyang+Zhou%2C+Zachary+C%2E+Lipton%2C+and+Liu+Leqi%2E+2024g%2E+Personalized+language+modeling+from+personalized+human+feedback%2E+Preprint%2C+arXiv%3A2402%2E05133%2E+%E2%80%94+%5BarXiv%3A2402%2E05133%5D%28https%3A%2F%2Farxiv%2Eorg%2Fabs%2F)
188. Yameng Li, Shi Feng, Daling Wang, Yifei Zhang, and Xiaocui Yang. 2025b. Paper: A persona-aware chain-of-thought learning framework for personalized dialogue response generation. In Natural Language Processing and Chinese Computing, pages 215–227, Singapore. Springer Nature Singapore. [find](https://scholar.google.com/scholar?q=Yameng+Li%2C+Shi+Feng%2C+Daling+Wang%2C+Yifei+Zhang%2C+and+Xiaocui+Yang%2E+2025b%2E+Paper%3A+A+persona%2Daware+chain%2Dof%2Dthought+learning+framework+for+personalized+dialogue+response+generation%2E+In+Natural+Language+Pr)
189. Xinyu Lin, Haihan Shi, Wenjie Wang, Fuli Feng, Qifan Wang, See-Kiong Ng, and Tat-Seng Chua. 2025b. Order-agnostic identifier for large language model-based generative recommendation. In Proceedings of the 48th international ACM SIGIR conference on research and development in information retrieval. [find](https://scholar.google.com/scholar?q=Xinyu+Lin%2C+Haihan+Shi%2C+Wenjie+Wang%2C+Fuli+Feng%2C+Qifan+Wang%2C+See%2DKiong+Ng%2C+and+Tat%2DSeng+Chua%2E+2025b%2E+Order%2Dagnostic+identifier+for+large+language+model%2Dbased+generative+recommendation%2E+In+Proceedings+of)
190. Yang Li, Songlin Yang, Wei Wang, and Jing Dong. 2024h. Sefi-ide: Semantic-fidelity identity embedding for personalized diffusion-based generation. arXiv preprint arXiv:2402.00631. — [arXiv:2402.00631](https://arxiv.org/abs/2402.00631) [find](https://scholar.google.com/scholar?q=Yang+Li%2C+Songlin+Yang%2C+Wei+Wang%2C+and+Jing+Dong%2E+2024h%2E+Sefi%2Dide%3A+Semantic%2Dfidelity+identity+embedding+for+personalized+diffusion%2Dbased+generation%2E+arXiv+preprint+arXiv%3A2402%2E00631%2E+%E2%80%94+%5BarXiv%3A2402%2E00631%5D)
191. Xinyu Lin, Wenjie Wang, Yongqi Li, Shuo Yang, Fuli Feng, Yinwei Wei, and Tat-Seng Chua. 2024a. Data-efficient fine-tuning for llm-based recommendation. Preprint, arXiv:2401.17197. — [arXiv:2401.17197](https://arxiv.org/abs/2401.17197) [find](https://scholar.google.com/scholar?q=Xinyu+Lin%2C+Wenjie+Wang%2C+Yongqi+Li%2C+Shuo+Yang%2C+Fuli+Feng%2C+Yinwei+Wei%2C+and+Tat%2DSeng+Chua%2E+2024a%2E+Data%2Defficient+fine%2Dtuning+for+llm%2Dbased+recommendation%2E+Preprint%2C+arXiv%3A2401%2E17197%2E+%E2%80%94+%5BarXiv%3A2401%2E17197%5D)
192. Yinghao Aaron Li, Cong Han, Vinay Raghavan, Gavin Mischler, and Nima Mesgarani. 2023c. Styletts 2: Towards human-level text-to-speech through style diffusion and adversarial training with large speech language models. Advances in Neural Information Processing Systems, 36:19594–19621. [find](https://scholar.google.com/scholar?q=Yinghao+Aaron+Li%2C+Cong+Han%2C+Vinay+Raghavan%2C+Gavin+Mischler%2C+and+Nima+Mesgarani%2E+2023c%2E+Styletts+2%3A+Towards+human%2Dlevel+text%2Dto%2Dspeech+through+style+diffusion+and+adversarial+training+with+large+speech)
193. Xudong Lin, Ali Zare, Shiyuan Huang, Ming-Hsuan Yang, Shih-Fu Chang, and Li Zhang. 2024b. Personalized video comment generation. In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 16806–16820. [find](https://scholar.google.com/scholar?q=Xudong+Lin%2C+Ali+Zare%2C+Shiyuan+Huang%2C+Ming%2DHsuan+Yang%2C+Shih%2DFu+Chang%2C+and+Li+Zhang%2E+2024b%2E+Personalized+video+comment+generation%2E+In+Findings+of+the+Association+for+Computational+Linguistics%3A+EMNLP+202)
194. Yinghao Aaron Li, Xilin Jiang, Jordan Darefsky, Ge Zhu, and Nima Mesgarani. 2024i. Style-talker: Finetuning audio language model and style-based text-to-speech model for fast spoken dialogue generation. arXiv preprint arXiv:2408.11849. — [arXiv:2408.11849](https://arxiv.org/abs/2408.11849) [find](https://scholar.google.com/scholar?q=Yinghao+Aaron+Li%2C+Xilin+Jiang%2C+Jordan+Darefsky%2C+Ge+Zhu%2C+and+Nima+Mesgarani%2E+2024i%2E+Style%2Dtalker%3A+Finetuning+audio+language+model+and+style%2Dbased+text%2Dto%2Dspeech+model+for+fast+spoken+dialogue+generatio)
195. Fangfu Liu, Hanyang Wang, Weiliang Chen, Haowen Sun, and Yueqi Duan. 2025a. Make-your-3d: Fast and consistent subject-driven 3d content generation. In European Conference on Computer Vision, pages 389–406. Springer. [find](https://scholar.google.com/scholar?q=Fangfu+Liu%2C+Hanyang+Wang%2C+Weiliang+Chen%2C+Haowen+Sun%2C+and+Yueqi+Duan%2E+2025a%2E+Make%2Dyour%2D3d%3A+Fast+and+consistent+subject%2Ddriven+3d+content+generation%2E+In+European+Conference+on+Computer+Vision%2C+pages+389)
196. Yuanchun Li, Hao Wen, Weijun Wang, Xiangyu Li, Yizhen Yuan, Guohong Liu, Jiacheng Liu, Wenxing Xu, Xiang Wang, Yi Sun, et al. 2024j. [Personal llm agents: Insights and survey about the capability, efficiency and security](https://md.research.elamur.ai/free/en/papers/li-2024-personal-llm-agents-insights-survey/). arXiv preprint arXiv:2401.05459.
197. Gongye Liu, Menghan Xia, Yong Zhang, Haoxin Chen, Jinbo Xing, Yibo Wang, Xintao Wang, Ying Shan, and Yujiu Yang. 2024a. Stylecrafter: Taming artistic video diffusion with reference-augmented adapter learning. ACM Transactions on Graphics (TOG), 43(6):1–10. [find](https://scholar.google.com/scholar?q=Gongye+Liu%2C+Menghan+Xia%2C+Yong+Zhang%2C+Haoxin+Chen%2C+Jinbo+Xing%2C+Yibo+Wang%2C+Xintao+Wang%2C+Ying+Shan%2C+and+Yujiu+Yang%2E+2024a%2E+Stylecrafter%3A+Taming+artistic+video+diffusion+with+reference%2Daugmented+adapter+l)
198. Zhaojian Li, Bin Zhao, and Yuan Yuan. 2024k. Tas: Personalized text-guided audio spatialization. In Proceedings of the 32nd ACM International Conference on Multimedia, pages 9029–9037. [find](https://scholar.google.com/scholar?q=Zhaojian+Li%2C+Bin+Zhao%2C+and+Yuan+Yuan%2E+2024k%2E+Tas%3A+Personalized+text%2Dguided+audio+spatialization%2E+In+Proceedings+of+the+32nd+ACM+International+Conference+on+Multimedia%2C+pages+9029%E2%80%939037%2E)
199. Hanwen Liu, Zhicheng Sun, and Yadong Mu. 2024b. Countering personalized text-to-image generation with influence watermarks. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 12257–12267. [find](https://scholar.google.com/scholar?q=Hanwen+Liu%2C+Zhicheng+Sun%2C+and+Yadong+Mu%2E+2024b%2E+Countering+personalized+text%2Dto%2Dimage+generation+with+influence+watermarks%2E+In+Proceedings+of+the+IEEE%2FCVF+Conference+on+Computer+Vision+and+Pattern+Rec)
200. Zhen Li, Mingdeng Cao, Xintao Wang, Zhongang Qi, Ming-Ming Cheng, and Ying Shan. 2024l. Photomaker: Customizing realistic human photos via stacked id embedding. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 8640–8650. [find](https://scholar.google.com/scholar?q=Zhen+Li%2C+Mingdeng+Cao%2C+Xintao+Wang%2C+Zhongang+Qi%2C+Ming%2DMing+Cheng%2C+and+Ying+Shan%2E+2024l%2E+Photomaker%3A+Customizing+realistic+human+photos+via+stacked+id+embedding%2E+In+Proceedings+of+the+IEEE%2FCVF+Conferen)
201. Haohe Liu, Zehua Chen, Yi Yuan, Xinhao Mei, Xubo Liu, Danilo Mandic, Wenwu Wang, and Mark D Plumbley. 2023a. [Audioldm: Text-to-audio generation with latent diffusion models](https://md.research.elamur.ai/free/en/papers/liu-2023-audioldm-text-audio-generation-latent/). arXiv preprint arXiv:2301.12503.
202. Zhi Li, Christos Bampis, Julie Novak, Anne Aaron, Kyle Swanson, Anush Moorthy, and JD Cock. 2018. Vmaf: The journey continues. Netflix Technology Blog, 25(1). [find](https://scholar.google.com/scholar?q=Zhi+Li%2C+Christos+Bampis%2C+Julie+Novak%2C+Anne+Aaron%2C+Kyle+Swanson%2C+Anush+Moorthy%2C+and+JD+Cock%2E+2018%2E+Vmaf%3A+The+journey+continues%2E+Netflix+Technology+Blog%2C+25%281%29%2E)
203. Haotian Liu, Chunyuan Li, Qingyang Wu, and Yong Jae Lee. 2023b. [Visual instruction tuning](https://md.research.elamur.ai/free/en/papers/liu-2023-visual-instruction-tuning/). In Thirty-seventh Conference on Neural Information Processing Systems.
204. Jie Liang, Hui Zeng, Miaomiao Cui, Xuansong Xie, and Lei Zhang. 2021. Ppr10k: A large-scale portrait photo retouching dataset with human-region mask and group-level consistency. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 653–661. [find](https://scholar.google.com/scholar?q=Jie+Liang%2C+Hui+Zeng%2C+Miaomiao+Cui%2C+Xuansong+Xie%2C+and+Lei+Zhang%2E+2021%2E+Ppr10k%3A+A+large%2Dscale+portrait+photo+retouching+dataset+with+human%2Dregion+mask+and+group%2Dlevel+consistency%2E+In+Proceedings+of+the+)
205. Jia Liu, Changlin Li, Qirui Sun, Jiahui Ming, Chen Fang, Jue Wang, Bing Zeng, and Shuaicheng Liu. 2024c. Ada-adapter: Fast few-shot style personl-ization of diffusion model with pre-trained image encoder. arXiv preprint arXiv:2407.05552. — [arXiv:2407.05552](https://arxiv.org/abs/2407.05552) [find](https://scholar.google.com/scholar?q=Jia+Liu%2C+Changlin+Li%2C+Qirui+Sun%2C+Jiahui+Ming%2C+Chen+Fang%2C+Jue+Wang%2C+Bing+Zeng%2C+and+Shuaicheng+Liu%2E+2024c%2E+Ada%2Dadapter%3A+Fast+few%2Dshot+style+personl%2Dization+of+diffusion+model+with+pre%2Dtrained+image+enco)
206. Chin-Yew Lin. 2004. [ROUGE: A package for automatic evaluation of summaries](https://md.research.elamur.ai/free/en/papers/lin-2004-rouge-package-automatic-evaluation-summaries/). In Text Summarization Branches Out, pages 74–81, Barcelona, Spain. Association for Computational Linguistics.
207. Jiahong Liu, Zexuan Qiu, Zhongyang Li, Quanyu Dai, Jieming Zhu, Minda Hu, Menglin Yang, and Irwin King. 2025b. A survey of personalized large language models: Progress and future directions. arXiv preprint arXiv:2502.11528. — [arXiv:2502.11528](https://arxiv.org/abs/2502.11528) [find](https://scholar.google.com/scholar?q=Jiahong+Liu%2C+Zexuan+Qiu%2C+Zhongyang+Li%2C+Quanyu+Dai%2C+Jieming+Zhu%2C+Minda+Hu%2C+Menglin+Yang%2C+and+Irwin+King%2E+2025b%2E+A+survey+of+personalized+large+language+models%3A+Progress+and+future+directions%2E+arXiv+pre)
208. Jianghao Lin, Peng Du, Jiaqi Liu, Weite Li, Yong Yu, Weinan Zhang, and Yang Cao. 2025a. Sell it before you make it: Revolutionizing e-commerce with personalized ai-generated items. arXiv preprint arXiv:2503.22182. — [arXiv:2503.22182](https://arxiv.org/abs/2503.22182) [find](https://scholar.google.com/scholar?q=Jianghao+Lin%2C+Peng+Du%2C+Jiaqi+Liu%2C+Weite+Li%2C+Yong+Yu%2C+Weinan+Zhang%2C+and+Yang+Cao%2E+2025a%2E+Sell+it+before+you+make+it%3A+Revolutionizing+e%2Dcommerce+with+personalized+ai%2Dgenerated+items%2E+arXiv+preprint+arXi)
209. Jiongnan Liu, Yutao Zhu, Shuting Wang, Xiaochi Wei, Erxue Min, Yu Lu, Shuaiqiang Wang, Dawei Yin, and Zhicheng Dou. 2024d. [Llms+ persona-plug= personalized llms](https://md.research.elamur.ai/free/en/papers/liu-2025-llms-persona-plug-personalized-llms/). arXiv preprint arXiv:2409.11901.
210. Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, and Chenguang Zhu. 2023c. [G-eval: NLG evaluation using gpt-4 with better human alignment](https://md.research.elamur.ai/free/en/papers/liu-2023-g-eval-nlg-evaluation-gpt/). In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 2511–2522, Singapore. Association for Computational Li…
211. Ye Liu, Siyuan Li, Yang Wu, Chang-Wen Chen, Ying Shan, and Xiaohu Qie. 2022. Umt: Unified multimodal transformers for joint video moment retrieval and highlight detection. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 3042–3051. [find](https://scholar.google.com/scholar?q=Ye+Liu%2C+Siyuan+Li%2C+Yang+Wu%2C+Chang%2DWen+Chen%2C+Ying+Shan%2C+and+Xiaohu+Qie%2E+2022%2E+Umt%3A+Unified+multimodal+transformers+for+joint+video+moment+retrieval+and+highlight+detection%2E+In+Proceedings+of+the+IEEE%2FC)
212. Yexin Liu and Lin Wang. 2024. Mycloth: Towards intelligent and interactive online t-shirt customization based on user’s preference. arXiv preprint arXiv:2404.15801. — [arXiv:2404.15801](https://arxiv.org/abs/2404.15801) [find](https://scholar.google.com/scholar?q=Yexin+Liu+and+Lin+Wang%2E+2024%2E+Mycloth%3A+Towards+intelligent+and+interactive+online+t%2Dshirt+customization+based+on+user%E2%80%99s+preference%2E+arXiv+preprint+arXiv%3A2404%2E15801%2E+%E2%80%94+%5BarXiv%3A2404%2E15801%5D%28https%3A%2F%2Farxiv%2E)
213. Yilun Liu, Minggui He, Feiyu Yao, Yuhe Ji, Shimin Tao, Jingzhou Du, Duan Li, Jian Gao, Li Zhang, Hao Yang, et al. 2024e. What do you want? user-centric prompt generation for text-to-image synthesis via multi-turn guidance. arXiv preprint arXiv:2408.12910. — [arXiv:2408.12910](https://arxiv.org/abs/2408.12910) [find](https://scholar.google.com/scholar?q=Yilun+Liu%2C+Minggui+He%2C+Feiyu+Yao%2C+Yuhe+Ji%2C+Shimin+Tao%2C+Jingzhou+Du%2C+Duan+Li%2C+Jian+Gao%2C+Li+Zhang%2C+Hao+Yang%2C+et+al%2E+2024e%2E+What+do+you+want%3F+user%2Dcentric+prompt+generation+for+text%2Dto%2Dimage+synthesis+vi)
214. Yixin Liu, Ruoxi Chen, Xun Chen, and Lichao Sun. 2024f. Rethinking and defending protective perturbation in personalized diffusion models. arXiv preprint arXiv:2406.18944. — [arXiv:2406.18944](https://arxiv.org/abs/2406.18944) [find](https://scholar.google.com/scholar?q=Yixin+Liu%2C+Ruoxi+Chen%2C+Xun+Chen%2C+and+Lichao+Sun%2E+2024f%2E+Rethinking+and+defending+protective+perturbation+in+personalized+diffusion+models%2E+arXiv+preprint+arXiv%3A2406%2E18944%2E+%E2%80%94+%5BarXiv%3A2406%2E18944%5D%28https%3A%2F)
215. Zhilei Liu, Xiaoxing Liu, Sen Chen, Jiaxing Liu, Longbiao Wang, and Chongke Bi. 2024g. Multimodal fusion for talking face generation utilizing speech-related facial action units. ACM Transactions on Multimedia Computing, Communications and Applications, 20(9):1–24. [find](https://scholar.google.com/scholar?q=Zhilei+Liu%2C+Xiaoxing+Liu%2C+Sen+Chen%2C+Jiaxing+Liu%2C+Longbiao+Wang%2C+and+Chongke+Bi%2E+2024g%2E+Multimodal+fusion+for+talking+face+generation+utilizing+speech%2Drelated+facial+action+units%2E+ACM+Transactions+on+M)
216. Cuirong Long, Xiaoshan Yang, and Changsheng Xu. 2020. Cross-domain personalized image captioning. Multimedia Tools and Applications, 79(45):33333– 33348. [find](https://scholar.google.com/scholar?q=Cuirong+Long%2C+Xiaoshan+Yang%2C+and+Changsheng+Xu%2E+2020%2E+Cross%2Ddomain+personalized+image+captioning%2E+Multimedia+Tools+and+Applications%2C+79%2845%29%3A33333%E2%80%93+33348%2E)
217. Xiaoxiao Long, Yuan-Chen Guo, Cheng Lin, Yuan Liu, Zhiyang Dou, Lingjie Liu, Yuexin Ma, Song-Hai Zhang, Marc Habermann, Christian Theobalt, et al. 2024. Wonder3d: Single image to 3d using cross-domain diffusion. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pa… [find](https://scholar.google.com/scholar?q=Xiaoxiao+Long%2C+Yuan%2DChen+Guo%2C+Cheng+Lin%2C+Yuan+Liu%2C+Zhiyang+Dou%2C+Lingjie+Liu%2C+Yuexin+Ma%2C+Song%2DHai+Zhang%2C+Marc+Habermann%2C+Christian+Theobalt%2C+et+al%2E+2024%2E+Wonder3d%3A+Single+image+to+3d+using+cross%2Ddomain)
218. Zhi Lu, Yang Hu, Yunchao Jiang, Yan Chen, and Bing Zeng. 2019. Learning binary code for personalized fashion recommendation. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 10562–10570. [find](https://scholar.google.com/scholar?q=Zhi+Lu%2C+Yang+Hu%2C+Yunchao+Jiang%2C+Yan+Chen%2C+and+Bing+Zeng%2E+2019%2E+Learning+binary+code+for+personalized+fashion+recommendation%2E+In+Proceedings+of+the+IEEE%2FCVF+conference+on+computer+vision+and+pattern+re)
219. Hanjia Lyu, Song Jiang, Hanqing Zeng, Yinglong Xia, Qifan Wang, Si Zhang, Ren Chen, Chris Leung, Jiajie Tang, and Jiebo Luo. 2024. LLM-rec: Personalized recommendation via prompting large language models. In Findings of the Association for Computational Linguistics: NAACL 2024, pages 583–612, Mexico… [find](https://scholar.google.com/scholar?q=Hanjia+Lyu%2C+Song+Jiang%2C+Hanqing+Zeng%2C+Yinglong+Xia%2C+Qifan+Wang%2C+Si+Zhang%2C+Ren+Chen%2C+Chris+Leung%2C+Jiajie+Tang%2C+and+Jiebo+Luo%2E+2024%2E+LLM%2Drec%3A+Personalized+recommendation+via+prompting+large+language+mod)
220. Yueming Lyu, Tianwei Lin, Fu Li, Dongliang He, Jing Dong, and Tieniu Tan. 2023. Notice of removal: Deltaedit: Exploring text-free training for text-driven image manipulation. In 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 6894–6903. [find](https://scholar.google.com/scholar?q=Yueming+Lyu%2C+Tianwei+Lin%2C+Fu+Li%2C+Dongliang+He%2C+Jing+Dong%2C+and+Tieniu+Tan%2E+2023%2E+Notice+of+removal%3A+Deltaedit%3A+Exploring+text%2Dfree+training+for+text%2Ddriven+image+manipulation%2E+In+2023+IEEE%2FCVF+Conferen)
221. Jian Ma, Junhao Liang, Chen Chen, and Haonan Lu. 2024a. Subject-diffusion: Open domain personalized text-to-image generation without test-time fine-tuning. In ACM SIGGRAPH 2024 Conference Papers, pages 1–12. [find](https://scholar.google.com/scholar?q=Jian+Ma%2C+Junhao+Liang%2C+Chen+Chen%2C+and+Haonan+Lu%2E+2024a%2E+Subject%2Ddiffusion%3A+Open+domain+personalized+text%2Dto%2Dimage+generation+without+test%2Dtime+fine%2Dtuning%2E+In+ACM+SIGGRAPH+2024+Conference+Papers%2C+page)
222. Xichu Ma, Yuchen Wang, and Ye Wang. 2022. Content based user preference modeling in music generation. In Proceedings of the 30th ACM International Conference on Multimedia, pages 2473–2482. [find](https://scholar.google.com/scholar?q=Xichu+Ma%2C+Yuchen+Wang%2C+and+Ye+Wang%2E+2022%2E+Content+based+user+preference+modeling+in+music+generation%2E+In+Proceedings+of+the+30th+ACM+International+Conference+on+Multimedia%2C+pages+2473%E2%80%932482%2E)
223. Xichu Ma, Yuchen Wang, and Ye Wang. 2024b. Symbolic music generation from graph-learning-based preference modeling and textual queries. IEEE Transactions on Multimedia. [find](https://scholar.google.com/scholar?q=Xichu+Ma%2C+Yuchen+Wang%2C+and+Ye+Wang%2E+2024b%2E+Symbolic+music+generation+from+graph%2Dlearning%2Dbased+preference+modeling+and+textual+queries%2E+IEEE+Transactions+on+Multimedia%2E)
224. Yifeng Ma, Shiwei Zhang, Jiayu Wang, Xiang Wang, Yingya Zhang, and Zhidong Deng. 2023. Dreamtalk: When expressive talking head generation meets diffusion probabilistic models. arXiv preprint arXiv:2312.09767. — [arXiv:2312.09767](https://arxiv.org/abs/2312.09767) [find](https://scholar.google.com/scholar?q=Yifeng+Ma%2C+Shiwei+Zhang%2C+Jiayu+Wang%2C+Xiang+Wang%2C+Yingya+Zhang%2C+and+Zhidong+Deng%2E+2023%2E+Dreamtalk%3A+When+expressive+talking+head+generation+meets+diffusion+probabilistic+models%2E+arXiv+preprint+arXiv%3A231)
225. Ze Ma, Daquan Zhou, Chun-Hsiao Yeh, Xue-She Wang, Xiuyu Li, Huanrui Yang, Zhen Dong, Kurt Keutzer, and Jiashi Feng. 2024c. Magic-me: Identity-specific video customized diffusion. arXiv preprint arXiv:2402.09368. — [arXiv:2402.09368](https://arxiv.org/abs/2402.09368) [find](https://scholar.google.com/scholar?q=Ze+Ma%2C+Daquan+Zhou%2C+Chun%2DHsiao+Yeh%2C+Xue%2DShe+Wang%2C+Xiuyu+Li%2C+Huanrui+Yang%2C+Zhen+Dong%2C+Kurt+Keutzer%2C+and+Jiashi+Feng%2E+2024c%2E+Magic%2Dme%3A+Identity%2Dspecific+video+customized+diffusion%2E+arXiv+preprint+arXiv%3A)
226. Zhiyuan Ma, Xiangyu Zhu, Guojun Qi, Chen Qian, Zhaoxiang Zhang, and Zhen Lei. 2024d. Diffspeaker: Speech-driven 3d facial animation with diffusion transformer. arXiv preprint arXiv:2402.05712. — [arXiv:2402.05712](https://arxiv.org/abs/2402.05712) [find](https://scholar.google.com/scholar?q=Zhiyuan+Ma%2C+Xiangyu+Zhu%2C+Guojun+Qi%2C+Chen+Qian%2C+Zhaoxiang+Zhang%2C+and+Zhen+Lei%2E+2024d%2E+Diffspeaker%3A+Speech%2Ddriven+3d+facial+animation+with+diffusion+transformer%2E+arXiv+preprint+arXiv%3A2402%2E05712%2E+%E2%80%94+%5BarXi)
227. Liam Magee, Vanicka Arora, Gus Gollings, and Norma Lam-Saw. 2024. The drama machine: Simulating character development with llm agents. Preprint, arXiv:2408.01725. — [arXiv:2408.01725](https://arxiv.org/abs/2408.01725) [find](https://scholar.google.com/scholar?q=Liam+Magee%2C+Vanicka+Arora%2C+Gus+Gollings%2C+and+Norma+Lam%2DSaw%2E+2024%2E+The+drama+machine%3A+Simulating+character+development+with+llm+agents%2E+Preprint%2C+arXiv%3A2408%2E01725%2E+%E2%80%94+%5BarXiv%3A2408%2E01725%5D%28https%3A%2F%2Farxiv%2Eor)
228. Yifang Men, Yiming Mao, Yuning Jiang, Wei-Ying Ma, and Zhouhui Lian. 2020. Controllable person image synthesis with attribute-decomposed gan. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 5084–5093. [find](https://scholar.google.com/scholar?q=Yifang+Men%2C+Yiming+Mao%2C+Yuning+Jiang%2C+Wei%2DYing+Ma%2C+and+Zhouhui+Lian%2E+2020%2E+Controllable+person+image+synthesis+with+attribute%2Ddecomposed+gan%2E+In+Proceedings+of+the+IEEE%2FCVF+conference+on+computer+visi)
229. Anish Mittal, Anush Krishna Moorthy, and Alan Conrad Bovik. 2012a. No-reference image quality assessment in the spatial domain. IEEE Transactions on image processing, 21(12):4695–4708. [find](https://scholar.google.com/scholar?q=Anish+Mittal%2C+Anush+Krishna+Moorthy%2C+and+Alan+Conrad+Bovik%2E+2012a%2E+No%2Dreference+image+quality+assessment+in+the+spatial+domain%2E+IEEE+Transactions+on+image+processing%2C+21%2812%29%3A4695%E2%80%934708%2E)
230. Anish Mittal, Rajiv Soundararajan, and Alan C Bovik. 2012b. Making a “completely blind” image quality analyzer. IEEE Signal processing letters, 20(3):209– 212. [find](https://scholar.google.com/scholar?q=Anish+Mittal%2C+Rajiv+Soundararajan%2C+and+Alan+C+Bovik%2E+2012b%2E+Making+a+%E2%80%9Ccompletely+blind%E2%80%9D+image+quality+analyzer%2E+IEEE+Signal+processing+letters%2C+20%283%29%3A209%E2%80%93+212%2E)
231. Shentong Mo, Jing Shi, and Yapeng Tian. 2023. Diffava: Personalized text-to-audio generation with visual alignment. arXiv preprint arXiv:2305.12903. — [arXiv:2305.12903](https://arxiv.org/abs/2305.12903) [find](https://scholar.google.com/scholar?q=Shentong+Mo%2C+Jing+Shi%2C+and+Yapeng+Tian%2E+2023%2E+Diffava%3A+Personalized+text%2Dto%2Daudio+generation+with+visual+alignment%2E+arXiv+preprint+arXiv%3A2305%2E12903%2E+%E2%80%94+%5BarXiv%3A2305%2E12903%5D%28https%3A%2F%2Farxiv%2Eorg%2Fabs%2F2305%2E129)
232. Davide Morelli, Alberto Baldrati, Giuseppe Cartella, Marcella Cornia, Marco Bertini, and Rita Cucchiara. 2023. Ladi-vton: Latent diffusion textual-inversion enhanced virtual try-on. In Proceedings of the 31st ACM International Conference on Multimedia, pages 8580–8589. [find](https://scholar.google.com/scholar?q=Davide+Morelli%2C+Alberto+Baldrati%2C+Giuseppe+Cartella%2C+Marcella+Cornia%2C+Marco+Bertini%2C+and+Rita+Cucchiara%2E+2023%2E+Ladi%2Dvton%3A+Latent+diffusion+textual%2Dinversion+enhanced+virtual+try%2Don%2E+In+Proceedings+of+)
233. Davide Morelli, Matteo Fincato, Marcella Cornia, Federico Landi, Fabio Cesari, and Rita Cucchiara. 2022. Dress code: High-resolution multi-category virtual try-on. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 2231–2235. [find](https://scholar.google.com/scholar?q=Davide+Morelli%2C+Matteo+Fincato%2C+Marcella+Cornia%2C+Federico+Landi%2C+Fabio+Cesari%2C+and+Rita+Cucchiara%2E+2022%2E+Dress+code%3A+High%2Dresolution+multi%2Dcategory+virtual+try%2Don%2E+In+Proceedings+of+the+IEEE%2FCVF+confe)
234. Sheshera Mysore, Zhuoran Lu, Mengting Wan, Longqi Yang, Bahareh Sarrafzadeh, Steve Menezes, Tina Baghaee, Emmanuel Barajas Gonzalez, Jennifer Neville, and Tara Safavi. 2024. Pearl: Personalizing large language model writing assistants with generation-calibrated retrievers. Preprint, arXiv:2311.09180… [find](https://scholar.google.com/scholar?q=Sheshera+Mysore%2C+Zhuoran+Lu%2C+Mengting+Wan%2C+Longqi+Yang%2C+Bahareh+Sarrafzadeh%2C+Steve+Menezes%2C+Tina+Baghaee%2C+Emmanuel+Barajas+Gonzalez%2C+Jennifer+Neville%2C+and+Tara+Safavi%2E+2024%2E+Pearl%3A+Personalizing+large)
235. Ofir Nabati, Guy Tennenholtz, ChihWei Hsu, Moonkyung Ryu, Deepak Ramachandran, Yinlam Chow, Xiang Li, and Craig Boutilier. 2024. Personalized and sequential text-to-image generation. arXiv preprint arXiv:2412.10419. — [arXiv:2412.10419](https://arxiv.org/abs/2412.10419) [find](https://scholar.google.com/scholar?q=Ofir+Nabati%2C+Guy+Tennenholtz%2C+ChihWei+Hsu%2C+Moonkyung+Ryu%2C+Deepak+Ramachandran%2C+Yinlam+Chow%2C+Xiang+Li%2C+and+Craig+Boutilier%2E+2024%2E+Personalized+and+sequential+text%2Dto%2Dimage+generation%2E+arXiv+preprint+ar)
236. Arsha Nagrani, Joon Son Chung, Weidi Xie, and Andrew Zisserman. 2020. Voxceleb: Large-scale speaker verification in the wild. Computer Speech & Language, 60:101027. [find](https://scholar.google.com/scholar?q=Arsha+Nagrani%2C+Joon+Son+Chung%2C+Weidi+Xie%2C+and+Andrew+Zisserman%2E+2020%2E+Voxceleb%3A+Large%2Dscale+speaker+verification+in+the+wild%2E+Computer+Speech+%26+Language%2C+60%3A101027%2E)
237. Jisu Nam, Heesu Kim, DongJae Lee, Siyoon Jin, Seungryong Kim, and Seunggyu Chang. 2024. Dreammatcher: Appearance matching self-attention for semantically-consistent text-to-image personalization. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 8100–8110. [find](https://scholar.google.com/scholar?q=Jisu+Nam%2C+Heesu+Kim%2C+DongJae+Lee%2C+Siyoon+Jin%2C+Seungryong+Kim%2C+and+Seunggyu+Chang%2E+2024%2E+Dreammatcher%3A+Appearance+matching+self%2Dattention+for+semantically%2Dconsistent+text%2Dto%2Dimage+personalization%2E+In+P)
238. Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pages 188–197, Hong Kong, China. Association for Computational Linguistics. [find](https://scholar.google.com/scholar?q=Natural+Language+Processing+and+the+9th+International+Joint+Conference+on+Natural+Language+Processing+%28EMNLP%2DIJCNLP%29%2C+pages+188%E2%80%93197%2C+Hong+Kong%2C+China%2E+Association+for+Computational+Linguistics%2E)
239. Armand Nicolicioiu, Eugenia Iofinova, Eldar Kurtic, Mahdi Nikdan, Andrei Panferov, Ilia Markov, Nir Shavit, and Dan Alistarh. 2024. Panza: A personalized text writing assistant via data playback and local fine-tuning. Preprint, arXiv:2407.10994. — [arXiv:2407.10994](https://arxiv.org/abs/2407.10994) [find](https://scholar.google.com/scholar?q=Armand+Nicolicioiu%2C+Eugenia+Iofinova%2C+Eldar+Kurtic%2C+Mahdi+Nikdan%2C+Andrei+Panferov%2C+Ilia+Markov%2C+Nir+Shavit%2C+and+Dan+Alistarh%2E+2024%2E+Panza%3A+A+personalized+text+writing+assistant+via+data+playback+and+l)
240. Shuliang Ning, Duomin Wang, Yipeng Qin, Zirong Jin, Baoyuan Wang, and Xiaoguang Han. 2024. Picture: Photorealistic virtual try-on from unconstrained designs. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 6976–6985. [find](https://scholar.google.com/scholar?q=Shuliang+Ning%2C+Duomin+Wang%2C+Yipeng+Qin%2C+Zirong+Jin%2C+Baoyuan+Wang%2C+and+Xiaoguang+Han%2E+2024%2E+Picture%3A+Photorealistic+virtual+try%2Don+from+unconstrained+designs%2E+In+Proceedings+of+the+IEEE%2FCVF+Conference+)
241. Yotam Nitzan, Kfir Aberman, Qiurui He, Orly Liba, Michal Yarom, Yossi Gandelsman, Inbar Mosseri, Yael Pritch, and Daniel Cohen-Or. 2022. Mystyle: A personalized generative prior. arXiv preprint arXiv:2203.17272. — [arXiv:2203.17272](https://arxiv.org/abs/2203.17272) [find](https://scholar.google.com/scholar?q=Yotam+Nitzan%2C+Kfir+Aberman%2C+Qiurui+He%2C+Orly+Liba%2C+Michal+Yarom%2C+Yossi+Gandelsman%2C+Inbar+Mosseri%2C+Yael+Pritch%2C+and+Daniel+Cohen%2DOr%2E+2022%2E+Mystyle%3A+A+personalized+generative+prior%2E+arXiv+preprint+arXiv%3A)
242. Takuto Onikubo and Yusuke Matsui. 2024. High-frequency anti-dreambooth: Robust defense against personalized image synthesis. arXiv preprint arXiv:2409.08167. — [arXiv:2409.08167](https://arxiv.org/abs/2409.08167) [find](https://scholar.google.com/scholar?q=Takuto+Onikubo+and+Yusuke+Matsui%2E+2024%2E+High%2Dfrequency+anti%2Ddreambooth%3A+Robust+defense+against+personalized+image+synthesis%2E+arXiv+preprint+arXiv%3A2409%2E08167%2E+%E2%80%94+%5BarXiv%3A2409%2E08167%5D%28https%3A%2F%2Farxiv%2Eorg%2Fabs)
243. OpenAI. 2024. Addendum to [GPT-4o System Card](https://md.research.elamur.ai/free/en/papers/openai-2024-gpt-4o-system-card/): 4o image generation. [https://openai.com/index/gpt-4o](https://openai.com/index/gpt-4o)... [↗](https://openai.com/index/gpt-4o)
244. Niranjan D Narvekar and Lina J Karam. 2011. A no-reference image blur metric based on the cumulative probability of blur detection (cpbd). IEEE Transactions on Image Processing, 20(9):2678–2683. [find](https://scholar.google.com/scholar?q=Niranjan+D+Narvekar+and+Lina+J+Karam%2E+2011%2E+A+no%2Dreference+image+blur+metric+based+on+the+cumulative+probability+of+blur+detection+%28cpbd%29%2E+IEEE+Transactions+on+Image+Processing%2C+20%289%29%3A2678%E2%80%932683%2E)
245. Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy V. Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel HAZIZA, Francisco Massa, Alaaeldin El-Nouby, Mido Assran, Nicolas Ballas, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-Wen Li, Ishan Misra, Michael Rabbat, Vasu Sharma, Gabriel… — [DINOv2: Learning Robust Visual Features without Supervision](https://md.research.elamur.ai/free/en/papers/oquab-2023-dinov2-learning-robust-visual-features/)
246. Man Tik Ng, Hui Tung Tse, Jen-Tse Huang, Jingjing Li, Wenxuan Wang, and Michael R. Lyu. 2024. How well can llms echo us? evaluating ai chatbots’ role-play ability with echo. ArXiv, abs/2404.13957. — [arXiv:2404.13957](https://arxiv.org/abs/2404.13957) [find](https://scholar.google.com/scholar?q=Man+Tik+Ng%2C+Hui+Tung+Tse%2C+Jen%2DTse+Huang%2C+Jingjing+Li%2C+Wenxuan+Wang%2C+and+Michael+R%2E+Lyu%2E+2024%2E+How+well+can+llms+echo+us%3F+evaluating+ai+chatbots%E2%80%99+role%2Dplay+ability+with+echo%2E+ArXiv%2C+abs%2F2404%2E13957%2E+%E2%80%94+%5B)
247. Nadav Orzech, Yotam Nitzan, Ulysse Mizrahi, Dov Danon, and Amit H Bermano. 2024. Masked extended attention for zero-shot virtual try-on in the wild. arXiv preprint arXiv:2406.15331. — [arXiv:2406.15331](https://arxiv.org/abs/2406.15331) [find](https://scholar.google.com/scholar?q=Nadav+Orzech%2C+Yotam+Nitzan%2C+Ulysse+Mizrahi%2C+Dov+Danon%2C+and+Amit+H+Bermano%2E+2024%2E+Masked+extended+attention+for+zero%2Dshot+virtual+try%2Don+in+the+wild%2E+arXiv+preprint+arXiv%3A2406%2E15331%2E+%E2%80%94+%5BarXiv%3A2406%2E1533)
248. Hung Nguyen, Quang Qui-Vinh Nguyen, Khoi Nguyen, and Rang Nguyen. 2024a. Swifttry: Fast and consistent video virtual try-on with diffusion models. arXiv preprint arXiv:2412.10178. — [arXiv:2412.10178](https://arxiv.org/abs/2412.10178) [find](https://scholar.google.com/scholar?q=Hung+Nguyen%2C+Quang+Qui%2DVinh+Nguyen%2C+Khoi+Nguyen%2C+and+Rang+Nguyen%2E+2024a%2E+Swifttry%3A+Fast+and+consistent+video+virtual+try%2Don+with+diffusion+models%2E+arXiv+preprint+arXiv%3A2412%2E10178%2E+%E2%80%94+%5BarXiv%3A2412%2E10178%5D)
249. Sashrika Pandey, Zhiyang He, Mariah Schrum, and Anca Dragan. 2024. Cos: Enhancing personalization and mitigating bias with context steering. In Interpretable AI: Past, Present and Future. [find](https://scholar.google.com/scholar?q=Sashrika+Pandey%2C+Zhiyang+He%2C+Mariah+Schrum%2C+and+Anca+Dragan%2E+2024%2E+Cos%3A+Enhancing+personalization+and+mitigating+bias+with+context+steering%2E+In+Interpretable+AI%3A+Past%2C+Present+and+Future%2E)
250. Thao Nguyen, Haotian Liu, Yuheng Li, Mu Cai, Utkarsh Ojha, and Yong Jae Lee. 2024b. Yo’LLaVA: Your personalized language and vision assistant. In The Thirty-eighth Annual Conference on Neural Information Processing Systems. [find](https://scholar.google.com/scholar?q=Thao+Nguyen%2C+Haotian+Liu%2C+Yuheng+Li%2C+Mu+Cai%2C+Utkarsh+Ojha%2C+and+Yong+Jae+Lee%2E+2024b%2E+Yo%E2%80%99LLaVA%3A+Your+personalized+language+and+vision+assistant%2E+In+The+Thirty%2Deighth+Annual+Conference+on+Neural+Informat)
251. Lianyu Pang, Jian Yin, Baoquan Zhao, Feize Wu, Fu Lee Wang, Qing Li, and Xudong Mao. 2024. At-tndreambooth: Towards text-aligned personalized text-to-image generation. In The Thirty-eighth Annual Conference on Neural Information Processing Systems. [find](https://scholar.google.com/scholar?q=Lianyu+Pang%2C+Jian+Yin%2C+Baoquan+Zhao%2C+Feize+Wu%2C+Fu+Lee+Wang%2C+Qing+Li%2C+and+Xudong+Mao%2E+2024%2E+At%2Dtndreambooth%3A+Towards+text%2Daligned+personalized+text%2Dto%2Dimage+generation%2E+In+The+Thirty%2Deighth+Annual+Conf)
252. Jianmo Ni, Jiacheng Li, and Julian McAuley. 2019. [Justifying recommendations using distantly-labeled reviews and fine-grained aspects](https://md.research.elamur.ai/free/en/papers/ni-2019-justifying-recommendations-distantly-labeled-reviews/). In Proceedings of the 2019 Conference on Empirical Methods in Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002. Bleu: a method for automatic evaluat…
253. Rishubh Parihar, Harsh Gupta, Sachidanand VS, and R Venkatesh Babu. 2024. Text2place: Affordance-aware text guided human placement. In European Conference on Computer Vision, pages 57–77. [find](https://scholar.google.com/scholar?q=Rishubh+Parihar%2C+Harsh+Gupta%2C+Sachidanand+VS%2C+and+R+Venkatesh+Babu%2E+2024%2E+Text2place%3A+Affordance%2Daware+text+guided+human+placement%2E+In+European+Conference+on+Computer+Vision%2C+pages+57%E2%80%9377%2E)
254. Cesc Chunseong Park, Byeongchang Kim, and Gunhee Kim. 2018. Towards personalized image captioning via multimodal memory networks. IEEE transactions on pattern analysis and machine intelligence, 41(4):999–1012. [find](https://scholar.google.com/scholar?q=Cesc+Chunseong+Park%2C+Byeongchang+Kim%2C+and+Gunhee+Kim%2E+2018%2E+Towards+personalized+image+captioning+via+multimodal+memory+networks%2E+IEEE+transactions+on+pattern+analysis+and+machine+intelligence%2C+41%284%29%3A)
255. Junseo Park, Beomseok Ko, and Hyeryung Jang. 2024. Text-to-image synthesis for any artistic styles: Advancements in personalized artistic image generation via subdivision and dual binding. arXiv preprint arXiv:2404.05256. — [arXiv:2404.05256](https://arxiv.org/abs/2404.05256) [find](https://scholar.google.com/scholar?q=Junseo+Park%2C+Beomseok+Ko%2C+and+Hyeryung+Jang%2E+2024%2E+Text%2Dto%2Dimage+synthesis+for+any+artistic+styles%3A+Advancements+in+personalized+artistic+image+generation+via+subdivision+and+dual+binding%2E+arXiv+prepr)
256. Or Patashnik, Zongze Wu, Eli Shechtman, Daniel Cohen-Or, and Dani Lischinski. 2021. Styleclip: Text-driven manipulation of stylegan imagery. In Proceedings of the IEEE/CVF international conference on computer vision, pages 2085–2094. [find](https://scholar.google.com/scholar?q=Or+Patashnik%2C+Zongze+Wu%2C+Eli+Shechtman%2C+Daniel+Cohen%2DOr%2C+and+Dani+Lischinski%2E+2021%2E+Styleclip%3A+Text%2Ddriven+manipulation+of+stylegan+imagery%2E+In+Proceedings+of+the+IEEE%2FCVF+international+conference+on+)
257. Maitreya Patel, Tejas Gokhale, Chitta Baral, and Yezhou Yang. 2024a. Conceptbed: Evaluating concept learning abilities of text-to-image diffusion models. In Proceedings of the AAAI Conference on Artificial Intelligence, volume 38, pages 14554–14562. [find](https://scholar.google.com/scholar?q=Maitreya+Patel%2C+Tejas+Gokhale%2C+Chitta+Baral%2C+and+Yezhou+Yang%2E+2024a%2E+Conceptbed%3A+Evaluating+concept+learning+abilities+of+text%2Dto%2Dimage+diffusion+models%2E+In+Proceedings+of+the+AAAI+Conference+on+Artif)
258. Maitreya Patel, Sangmin Jung, Chitta Baral, and Yezhou Yang. 2024b. λ-ECLIPSE: Multi-concept personalized text-to-image diffusion models by leveraging CLIP latent space. Transactions on Machine Learning Research. [find](https://scholar.google.com/scholar?q=Maitreya+Patel%2C+Sangmin+Jung%2C+Chitta+Baral%2C+and+Yezhou+Yang%2E+2024b%2E+%CE%BB%2DECLIPSE%3A+Multi%2Dconcept+personalized+text%2Dto%2Dimage+diffusion+models+by+leveraging+CLIP+latent+space%2E+Transactions+on+Machine+Learni)
259. Yingzhe Peng, Gongrui Zhang, Miaosen Zhang, Zhiyuan You, Jie Liu, Qipeng Zhu, Kai Yang, Xingzhong Xu, Xin Geng, and Xu Yang. 2025. Lmm-r1: Empowering 3b lmms with strong reasoning abilities through two-stage rule-based rl. arXiv preprint arXiv:2503.07536. — [arXiv:2503.07536](https://arxiv.org/abs/2503.07536) [find](https://scholar.google.com/scholar?q=Yingzhe+Peng%2C+Gongrui+Zhang%2C+Miaosen+Zhang%2C+Zhiyuan+You%2C+Jie+Liu%2C+Qipeng+Zhu%2C+Kai+Yang%2C+Xingzhong+Xu%2C+Xin+Geng%2C+and+Xu+Yang%2E+2025%2E+Lmm%2Dr1%3A+Empowering+3b+lmms+with+strong+reasoning+abilities+through+tw)
260. Yuang Peng, Yuxin Cui, Haomiao Tang, Zekun Qi, Runpei Dong, Jing Bai, Chunrui Han, Zheng Ge, Xiangyu Zhang, and Shu-Tao Xia. 2024. Dreambench++: A human-aligned benchmark for personalized image generation. arXiv preprint arXiv:2406.16855. — [arXiv:2406.16855](https://arxiv.org/abs/2406.16855) [find](https://scholar.google.com/scholar?q=Yuang+Peng%2C+Yuxin+Cui%2C+Haomiao+Tang%2C+Zekun+Qi%2C+Runpei+Dong%2C+Jing+Bai%2C+Chunrui+Han%2C+Zheng+Ge%2C+Xiangyu+Zhang%2C+and+Shu%2DTao+Xia%2E+2024%2E+Dreambench%2B%2B%3A+A+human%2Daligned+benchmark+for+personalized+image+genera)
261. Chau Pham, Hoang Phan, David Doermann, and Yunjie Tian. 2024. Personalized large vision-language models. arXiv preprint arXiv:2412.17610. — [arXiv:2412.17610](https://arxiv.org/abs/2412.17610) [find](https://scholar.google.com/scholar?q=Chau+Pham%2C+Hoang+Phan%2C+David+Doermann%2C+and+Yunjie+Tian%2E+2024%2E+Personalized+large+vision%2Dlanguage+models%2E+arXiv+preprint+arXiv%3A2412%2E17610%2E+%E2%80%94+%5BarXiv%3A2412%2E17610%5D%28https%3A%2F%2Farxiv%2Eorg%2Fabs%2F2412%2E17610%29)
262. Renjie Pi, Jianshu Zhang, Tianyang Han, Jipeng Zhang, Rui Pan, and Tong Zhang. 2024. Personalized visual instruction tuning. arXiv preprint arXiv:2410.07113. — [arXiv:2410.07113](https://arxiv.org/abs/2410.07113) [find](https://scholar.google.com/scholar?q=Renjie+Pi%2C+Jianshu+Zhang%2C+Tianyang+Han%2C+Jipeng+Zhang%2C+Rui+Pan%2C+and+Tong+Zhang%2E+2024%2E+Personalized+visual+instruction+tuning%2E+arXiv+preprint+arXiv%3A2410%2E07113%2E+%E2%80%94+%5BarXiv%3A2410%2E07113%5D%28https%3A%2F%2Farxiv%2Eorg%2Fabs)
263. Manos Plitsis, Theodoros Kouzelis, Georgios Paraskevopoulos, Vassilis Katsouros, and Yannis Panagakis. 2024. Investigating personalization methods in text to music generation. In ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 1081–1085. IEEE… [find](https://scholar.google.com/scholar?q=Manos+Plitsis%2C+Theodoros+Kouzelis%2C+Georgios+Paraskevopoulos%2C+Vassilis+Katsouros%2C+and+Yannis+Panagakis%2E+2024%2E+Investigating+personalization+methods+in+text+to+music+generation%2E+In+ICASSP+2024%2D2024+IEEE)
264. Sriyash Poddar, Yanming Wan, Hamish Ivison, Abhishek Gupta, and Natasha Jaques. 2024. Personalizing reinforcement learning from human feedback with variational preference learning. In The Thirty-eighth Annual Conference on Neural Information Processing Systems. [find](https://scholar.google.com/scholar?q=Sriyash+Poddar%2C+Yanming+Wan%2C+Hamish+Ivison%2C+Abhishek+Gupta%2C+and+Natasha+Jaques%2E+2024%2E+Personalizing+reinforcement+learning+from+human+feedback+with+variational+preference+learning%2E+In+The+Thirty%2Deight)
265. Alisha Pradhan and Amanda Lazar. 2021. Hey google, do you have a personality? designing personality and personas for conversational agents. In Proceedings of the 3rd Conference on Conversational User Interfaces, CUI ’21, New York, NY, USA. Association for Computing Machinery. [find](https://scholar.google.com/scholar?q=Alisha+Pradhan+and+Amanda+Lazar%2E+2021%2E+Hey+google%2C+do+you+have+a+personality%3F+designing+personality+and+personas+for+conversational+agents%2E+In+Proceedings+of+the+3rd+Conference+on+Conversational+User+)
266. K R Prajwal, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, and C.V. Jawahar. 2020. A lip sync expert is all you need for speech to lip generation in the wild. In Proceedings of the 28th ACM International Conference on Multimedia, page 484–492. Association for Computing Machinery. [find](https://scholar.google.com/scholar?q=K+R+Prajwal%2C+Rudrabha+Mukhopadhyay%2C+Vinay+P%2E+Namboodiri%2C+and+C%2EV%2E+Jawahar%2E+2020%2E+A+lip+sync+expert+is+all+you+need+for+speech+to+lip+generation+in+the+wild%2E+In+Proceedings+of+the+28th+ACM+Internationa)
267. Xavier Puig, Eric Undersander, Andrew Szot, Mikael Dallaire Cote, Tsung-Yen Yang, Ruslan Part-sey, Ruta Desai, Alexander William Clegg, Michal Hlavac, So Yeon Min, et al. 2023. Habitat 3.0: A co-habitat for humans, avatars and robots. arXiv preprint arXiv:2310.13724. — [arXiv:2310.13724](https://arxiv.org/abs/2310.13724) [find](https://scholar.google.com/scholar?q=Xavier+Puig%2C+Eric+Undersander%2C+Andrew+Szot%2C+Mikael+Dallaire+Cote%2C+Tsung%2DYen+Yang%2C+Ruslan+Part%2Dsey%2C+Ruta+Desai%2C+Alexander+William+Clegg%2C+Michal+Hlavac%2C+So+Yeon+Min%2C+et+al%2E+2023%2E+Habitat+3%2E0%3A+A+co%2Dhabit)
268. Luchao Qi, Jiaye Wu, Shengze Wang, and Soumyadip Sengupta. 2023a. My3dgen: Building lightweight personalized 3d generative model. arXiv preprint arXiv:2307.05468. — [arXiv:2307.05468](https://arxiv.org/abs/2307.05468) [find](https://scholar.google.com/scholar?q=Luchao+Qi%2C+Jiaye+Wu%2C+Shengze+Wang%2C+and+Soumyadip+Sengupta%2E+2023a%2E+My3dgen%3A+Building+lightweight+personalized+3d+generative+model%2E+arXiv+preprint+arXiv%3A2307%2E05468%2E+%E2%80%94+%5BarXiv%3A2307%2E05468%5D%28https%3A%2F%2Farxiv%2Eor)
269. Zipeng Qi, Xulong Zhang, Ning Cheng, Jing Xiao, and Jianzong Wang. 2023b. Difftalker: Co-driven audio-image diffusion for talking faces via intermediate landmarks. arXiv preprint arXiv:2309.07509. — [arXiv:2309.07509](https://arxiv.org/abs/2309.07509) [find](https://scholar.google.com/scholar?q=Zipeng+Qi%2C+Xulong+Zhang%2C+Ning+Cheng%2C+Jing+Xiao%2C+and+Jianzong+Wang%2E+2023b%2E+Difftalker%3A+Co%2Ddriven+audio%2Dimage+diffusion+for+talking+faces+via+intermediate+landmarks%2E+arXiv+preprint+arXiv%3A2309%2E07509%2E+%E2%80%94+%5B)
270. Hongjin Qian, Xiaohe Li, Hanxun Zhong, Yu Guo, Yueyuan Ma, Yutao Zhu, Zhanliang Liu, Zhicheng Dou, and Ji-Rong Wen. 2021. Pchatbot: A large-scale dataset for personalized chatbot. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGI… [find](https://scholar.google.com/scholar?q=Hongjin+Qian%2C+Xiaohe+Li%2C+Hanxun+Zhong%2C+Yu+Guo%2C+Yueyuan+Ma%2C+Yutao+Zhu%2C+Zhanliang+Liu%2C+Zhicheng+Dou%2C+and+Ji%2DRong+Wen%2E+2021%2E+Pchatbot%3A+A+large%2Dscale+dataset+for+personalized+chatbot%2E+In+Proceedings+of+th)
271. Yilun Qiu, Xiaoyan Zhao, Yang Zhang, Yimeng Bai, Wenjie Wang, Hong Cheng, Fuli Feng, and Tat-Seng Chua. 2025. Measuring what makes you unique: Difference-aware user modeling for enhancing llm personalization. In Findings of the Association for Computational Linguistics: ACL 2025. [find](https://scholar.google.com/scholar?q=Yilun+Qiu%2C+Xiaoyan+Zhao%2C+Yang+Zhang%2C+Yimeng+Bai%2C+Wenjie+Wang%2C+Hong+Cheng%2C+Fuli+Feng%2C+and+Tat%2DSeng+Chua%2E+2025%2E+Measuring+what+makes+you+unique%3A+Difference%2Daware+user+modeling+for+enhancing+llm+personal)
272. Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al. 2021. [Learning transferable visual models from natural language supervision](https://md.research.elamur.ai/free/en/papers/radford-2021-learning-transferable-visual-models-natural/). In International conference on machine learning, pages 8748–8763. PM…
273. Amit Raj, Srinivas Kaza, Ben Poole, Michael Niemeyer, Nataniel Ruiz, Ben Mildenhall, Shiran Zada, Kfir Aberman, Michael Rubinstein, Jonathan Barron, et al. 2023. Dreambooth3d: Subject-driven text-to-3d generation. In Proceedings of the IEEE/CVF international conference on computer vision, pages 2349… [find](https://scholar.google.com/scholar?q=Amit+Raj%2C+Srinivas+Kaza%2C+Ben+Poole%2C+Michael+Niemeyer%2C+Nataniel+Ruiz%2C+Ben+Mildenhall%2C+Shiran+Zada%2C+Kfir+Aberman%2C+Michael+Rubinstein%2C+Jonathan+Barron%2C+et+al%2E+2023%2E+Dreambooth3d%3A+Subject%2Ddriven+text%2Dto%2D3)
274. Andreas Rossler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, and Matthias Nießner. 2019. Faceforensics++: Learning to detect manipulated facial images. In Proceedings of the IEEE/CVF international conference on computer vision, pages 1–11. [find](https://scholar.google.com/scholar?q=Andreas+Rossler%2C+Davide+Cozzolino%2C+Luisa+Verdoliva%2C+Christian+Riess%2C+Justus+Thies%2C+and+Matthias+Nie%C3%9Fner%2E+2019%2E+Faceforensics%2B%2B%3A+Learning+to+detect+manipulated+facial+images%2E+In+Proceedings+of+the+IEEE)
275. Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, and Kfir Aberman. 2023. Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 22500–22510. [find](https://scholar.google.com/scholar?q=Nataniel+Ruiz%2C+Yuanzhen+Li%2C+Varun+Jampani%2C+Yael+Pritch%2C+Michael+Rubinstein%2C+and+Kfir+Aberman%2E+2023%2E+Dreambooth%3A+Fine+tuning+text%2Dto%2Dimage+diffusion+models+for+subject%2Ddriven+generation%2E+In+Proceedings)
276. Masaki Saito, Shunta Saito, Masanori Koyama, and Sosuke Kobayashi. 2020. Train sparsely, generate densely: Memory-efficient unsupervised training of high-resolution temporal gan. International Journal of Computer Vision, 128(10):2586–2606. [find](https://scholar.google.com/scholar?q=Masaki+Saito%2C+Shunta+Saito%2C+Masanori+Koyama%2C+and+Sosuke+Kobayashi%2E+2020%2E+Train+sparsely%2C+generate+densely%3A+Memory%2Defficient+unsupervised+training+of+high%2Dresolution+temporal+gan%2E+International+Journal)
277. Alireza Salemi, Surya Kallumadi, and Hamed Zamani. 2024a. Optimization methods for personalizing large language models through retrieval augmentation. In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR ’24, page 752–762, New York… [find](https://scholar.google.com/scholar?q=Alireza+Salemi%2C+Surya+Kallumadi%2C+and+Hamed+Zamani%2E+2024a%2E+Optimization+methods+for+personalizing+large+language+models+through+retrieval+augmentation%2E+In+Proceedings+of+the+47th+International+ACM+SIGI)
278. Alireza Salemi, Julian Killingback, and Hamed Zamani. 2025a. Expert: Effective and explainable evaluation of personalized long-form text generation. Preprint, arXiv:2501.14956. [find](https://scholar.google.com/scholar?q=Alireza+Salemi%2C+Julian+Killingback%2C+and+Hamed+Zamani%2E+2025a%2E+Expert%3A+Effective+and+explainable+evaluation+of+personalized+long%2Dform+text+generation%2E+Preprint%2C+arXiv%3A2501%2E14956%2E)
279. Alireza Salemi, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Weize Kong, Tao Chen, Zhuowan Li, Michael Bendersky, and Hamed Zamani. 2025b. Reasoning-enhanced self-training for long-form personalized text generation. Preprint, arXiv:2501.04167. — [arXiv:2501.04167](https://arxiv.org/abs/2501.04167) [find](https://scholar.google.com/scholar?q=Alireza+Salemi%2C+Cheng+Li%2C+Mingyang+Zhang%2C+Qiaozhu+Mei%2C+Weize+Kong%2C+Tao+Chen%2C+Zhuowan+Li%2C+Michael+Bendersky%2C+and+Hamed+Zamani%2E+2025b%2E+Reasoning%2Denhanced+self%2Dtraining+for+long%2Dform+personalized+text+ge)
280. Alireza Salemi, Sheshera Mysore, Michael Bendersky, and Hamed Zamani. 2024b. [LaMP: When large language models meet personalization](https://md.research.elamur.ai/free/en/papers/salemi-2024-lamp-when-large-language-models/). In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 7370–7392. Association for Computational Lingu…
281. Alireza Salemi and Hamed Zamani. 2024. Comparing retrieval-augmentation and parameter-efficient fine-tuning for privacy-preserving personalization of large language models. Preprint, arXiv:2409.09510. — [arXiv:2409.09510](https://arxiv.org/abs/2409.09510) [find](https://scholar.google.com/scholar?q=Alireza+Salemi+and+Hamed+Zamani%2E+2024%2E+Comparing+retrieval%2Daugmentation+and+parameter%2Defficient+fine%2Dtuning+for+privacy%2Dpreserving+personalization+of+large+language+models%2E+Preprint%2C+arXiv%3A2409%2E09510%2E)
282. Proceedings of the 40th International Conference on Machine Learning, ICML’23. JMLR.org. [find](https://scholar.google.com/scholar?q=Proceedings+of+the+40th+International+Conference+on+Machine+Learning%2C+ICML%E2%80%9923%2E+JMLR%2Eorg%2E)
283. Florian Schroff, Dmitry Kalenichenko, and James Philbin. 2015. [Facenet: A unified embedding for face recognition and clustering](https://md.research.elamur.ai/free/en/papers/schroff-2015-facenet-unified-embedding-face-recognition/). In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 815–823.
284. Soroush Seifi, Vaggelis Dorovatas, Daniel Olmeda Reino, and Rahaf Aljundi. 2025. Personalization toolkit: Training free personalization of large vision language models. arXiv preprint arXiv:2502.02452. — [arXiv:2502.02452](https://arxiv.org/abs/2502.02452) [find](https://scholar.google.com/scholar?q=Soroush+Seifi%2C+Vaggelis+Dorovatas%2C+Daniel+Olmeda+Reino%2C+and+Rahaf+Aljundi%2E+2025%2E+Personalization+toolkit%3A+Training+free+personalization+of+large+vision+language+models%2E+arXiv+preprint+arXiv%3A2502%2E02452)
285. Murray Shanahan, Kyle McDonell, and Laria Reynolds. 2023. [Role-play with large language models](https://md.research.elamur.ai/free/en/papers/shanahan-2023-role-play-large-language-models/). Preprint, arXiv:2305.16367.
286. Yunfan Shao, Linyang Li, Junqi Dai, and Xipeng Qiu. 2023. [Character-LLM: A trainable agent for role-playing](https://md.research.elamur.ai/free/en/papers/shao-2023-character-llm-trainable-agent-role/). In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 13153–13187, Singapore. Association for Computational Linguistics.
287. Fei Shen, Xin Jiang, Xin He, Hu Ye, Cong Wang, Xiaoyu Du, Zechao Li, and Jinhui Tang. 2024a. Imagdressing-v1: Customizable virtual dressing. arXiv preprint arXiv:2407.12705. — [arXiv:2407.12705](https://arxiv.org/abs/2407.12705) [find](https://scholar.google.com/scholar?q=Fei+Shen%2C+Xin+Jiang%2C+Xin+He%2C+Hu+Ye%2C+Cong+Wang%2C+Xiaoyu+Du%2C+Zechao+Li%2C+and+Jinhui+Tang%2E+2024a%2E+Imagdressing%2Dv1%3A+Customizable+virtual+dressing%2E+arXiv+preprint+arXiv%3A2407%2E12705%2E+%E2%80%94+%5BarXiv%3A2407%2E12705%5D%28https)
288. Shuai Shen, Wenliang Zhao, Zibin Meng, Wanhua Li, Zheng Zhu, Jie Zhou, and Jiwen Lu. 2023. Difftalk: Crafting diffusion models for generalized audio-driven portraits animation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 1982–1991. [find](https://scholar.google.com/scholar?q=Shuai+Shen%2C+Wenliang+Zhao%2C+Zibin+Meng%2C+Wanhua+Li%2C+Zheng+Zhu%2C+Jie+Zhou%2C+and+Jiwen+Lu%2E+2023%2E+Difftalk%3A+Crafting+diffusion+models+for+generalized+audio%2Ddriven+portraits+animation%2E+In+Proceedings+of+the+I)
289. Xiaoteng Shen, Rui Zhang, Xiaoyan Zhao, Jieming Zhu, and Xi Xiao. 2024b. Pmg: Personalized multimodal generation with large language models. In Proceedings of the ACM on Web Conference 2024, pages 3833–3843. [find](https://scholar.google.com/scholar?q=Xiaoteng+Shen%2C+Rui+Zhang%2C+Xiaoyan+Zhao%2C+Jieming+Zhu%2C+and+Xi+Xiao%2E+2024b%2E+Pmg%3A+Personalized+multimodal+generation+with+large+language+models%2E+In+Proceedings+of+the+ACM+on+Web+Conference+2024%2C+pages+383)
290. Zheng-Yan Sheng, Yang Ai, and Zhen-Hua Ling. 2023. Zero-shot personalized lip-to-speech synthesis with face image based voice control. In ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 1–5. IEEE. [find](https://scholar.google.com/scholar?q=Zheng%2DYan+Sheng%2C+Yang+Ai%2C+and+Zhen%2DHua+Ling%2E+2023%2E+Zero%2Dshot+personalized+lip%2Dto%2Dspeech+synthesis+with+face+image+based+voice+control%2E+In+ICASSP+2023%2D2023+IEEE+International+Conference+on+Acoustics%2C+S)
291. Jing Shi, Wei Xiong, Zhe Lin, and Hyun Joon Jung. 2024. Instantbooth: Personalized text-to-image generation without test-time finetuning. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 8543–8552. [find](https://scholar.google.com/scholar?q=Jing+Shi%2C+Wei+Xiong%2C+Zhe+Lin%2C+and+Hyun+Joon+Jung%2E+2024%2E+Instantbooth%3A+Personalized+text%2Dto%2Dimage+generation+without+test%2Dtime+finetuning%2E+In+Proceedings+of+the+IEEE%2FCVF+Conference+on+Computer+Vision+a)
292. Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen. 2016. [Improved techniques for training gans](https://md.research.elamur.ai/free/en/papers/salimans-2016-improved-techniques-training-gans/). Advances in neural information processing systems, 29.
293. Lei Shi, Alexandra Ioana Cristea, Malik Shahzad Kaleem Awan, Craig D. Stewart, and Maurice Hendrix. 2013. Towards understanding learning behavior patterns in social adaptive personalized e-learning systems. In Americas Conference on Information Systems. [find](https://scholar.google.com/scholar?q=Lei+Shi%2C+Alexandra+Ioana+Cristea%2C+Malik+Shahzad+Kaleem+Awan%2C+Craig+D%2E+Stewart%2C+and+Maurice+Hendrix%2E+2013%2E+Towards+understanding+learning+behavior+patterns+in+social+adaptive+personalized+e%2Dlearning+sy)
294. Shibani Santurkar, Esin Durmus, Faisal Ladhak, Cinoo Lee, Percy Liang, and Tatsunori Hashimoto. 2023. [Whose opinions do language models reflect?](https://md.research.elamur.ai/free/en/papers/santurkar-2023-whose-opinions-language-models-reflect/) In Xiaoyu Shi, Zhaoyang Huang, Weikang Bian, Da-song Li, Manyuan Zhang, Ka Chun Cheung, Simon See, Hongwei Qin, Jifeng Dai, and Hongsheng Li. 2023a. Videof…
295. Yichun Shi, Peng Wang, Jianglong Ye, Long Mai, Kejie Li, and Xiao Yang. 2023b. Mvdream: Multi-view diffusion for 3d generation. In The Twelfth International Conference on Learning Representations. [find](https://scholar.google.com/scholar?q=Yichun+Shi%2C+Peng+Wang%2C+Jianglong+Ye%2C+Long+Mai%2C+Kejie+Li%2C+and+Xiao+Yang%2E+2023b%2E+Mvdream%3A+Multi%2Dview+diffusion+for+3d+generation%2E+In+The+Twelfth+International+Conference+on+Learning+Representations%2E)
296. Yufei Shi, Weilong Yan, Gang Xu, Yumeng Li, Yuchen Li, Zhenxi Li, Fei Richard Yu, Ming Li, and Si Yong Yeo. 2025. Pvchat: Personalized video chat with one-shot learning. arXiv preprint arXiv:2503.17069. — [arXiv:2503.17069](https://arxiv.org/abs/2503.17069) [find](https://scholar.google.com/scholar?q=Yufei+Shi%2C+Weilong+Yan%2C+Gang+Xu%2C+Yumeng+Li%2C+Yuchen+Li%2C+Zhenxi+Li%2C+Fei+Richard+Yu%2C+Ming+Li%2C+and+Si+Yong+Yeo%2E+2025%2E+Pvchat%3A+Personalized+video+chat+with+one%2Dshot+learning%2E+arXiv+preprint+arXiv%3A2503%2E1706)
297. Veronika Shilova, Ludovic Dos Santos, Flavian Vasile, Gaëtan Racic, and Ugo Tanielian. 2023. Adbooster: Personalized ad creative generation using stable diffusion outpainting. arXiv preprint arXiv:2309.11507. — [arXiv:2309.11507](https://arxiv.org/abs/2309.11507) [find](https://scholar.google.com/scholar?q=Veronika+Shilova%2C+Ludovic+Dos+Santos%2C+Flavian+Vasile%2C+Ga%C3%ABtan+Racic%2C+and+Ugo+Tanielian%2E+2023%2E+Adbooster%3A+Personalized+ad+creative+generation+using+stable+diffusion+outpainting%2E+arXiv+preprint+arXiv%3A230)
298. Andrew Shin, Yoshitaka Ushiku, and Tatsuya Harada. 2018. Customized image narrative generation via interactive visual question generation and answering. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 8925–8933. [find](https://scholar.google.com/scholar?q=Andrew+Shin%2C+Yoshitaka+Ushiku%2C+and+Tatsuya+Harada%2E+2018%2E+Customized+image+narrative+generation+via+interactive+visual+question+generation+and+answering%2E+In+Proceedings+of+the+IEEE+Conference+on+Comput)
299. Kurt Shuster, Samuel Humeau, Hexiang Hu, Antoine Bordes, and Jason Weston. 2019. Engaging image captioning via personality. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 12516–12526. [find](https://scholar.google.com/scholar?q=Kurt+Shuster%2C+Samuel+Humeau%2C+Hexiang+Hu%2C+Antoine+Bordes%2C+and+Jason+Weston%2E+2019%2E+Engaging+image+captioning+via+personality%2E+In+Proceedings+of+the+IEEE%2FCVF+conference+on+computer+vision+and+pattern+rec)
300. Aliaksandr Siarohin, Oliver J Woodford, Jian Ren, Menglei Chai, and Sergey Tulyakov. 2021. Motion representations for articulated animation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 13653–13662. [find](https://scholar.google.com/scholar?q=Aliaksandr+Siarohin%2C+Oliver+J+Woodford%2C+Jian+Ren%2C+Menglei+Chai%2C+and+Sergey+Tulyakov%2E+2021%2E+Motion+representations+for+articulated+animation%2E+In+Proceedings+of+the+IEEE%2FCVF+Conference+on+Computer+Visio)
301. Kihyuk Sohn, Lu Jiang, Jarred Barber, Kimin Lee, Nataniel Ruiz, Dilip Krishnan, Huiwen Chang, Yuanzhen Li, Irfan Essa, Michael Rubinstein, Yuan Hao, Glenn Entis, Irina Blok, and Daniel Castro Chin. 2023. Styledrop: Text-to-image synthesis of any style. In Thirty-seventh Conference on Neural Informat… [find](https://scholar.google.com/scholar?q=Kihyuk+Sohn%2C+Lu+Jiang%2C+Jarred+Barber%2C+Kimin+Lee%2C+Nataniel+Ruiz%2C+Dilip+Krishnan%2C+Huiwen+Chang%2C+Yuanzhen+Li%2C+Irfan+Essa%2C+Michael+Rubinstein%2C+Yuan+Hao%2C+Glenn+Entis%2C+Irina+Blok%2C+and+Daniel+Castro+Chin%2E+20)
302. Joon Son Chung, Andrew Senior, Oriol Vinyals, and Andrew Zisserman. 2017. Lip reading sentences in the wild. In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 6447–6456. [find](https://scholar.google.com/scholar?q=Joon+Son+Chung%2C+Andrew+Senior%2C+Oriol+Vinyals%2C+and+Andrew+Zisserman%2E+2017%2E+Lip+reading+sentences+in+the+wild%2E+In+Proceedings+of+the+IEEE+conference+on+computer+vision+and+pattern+recognition%2C+pages+644)
303. Haoyu Song, Yan Wang, Kaiyan Zhang, Wei-Nan Zhang, and Ting Liu. 2021. [BoB: BERT over BERT for training persona-based dialogue models from limited personalized data](https://md.research.elamur.ai/free/en/papers/song-2021-bob-bert-over-bert-training/). In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference…
304. Haoyu Song, Wei-Nan Zhang, Yiming Cui, Dong Wang, and Ting Liu. 2019. Exploiting persona information for diverse generation of conversational responses. In Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI-19, pages 5190–5196. International Joint Confe… [find](https://scholar.google.com/scholar?q=Haoyu+Song%2C+Wei%2DNan+Zhang%2C+Yiming+Cui%2C+Dong+Wang%2C+and+Ting+Liu%2E+2019%2E+Exploiting+persona+information+for+diverse+generation+of+conversational+responses%2E+In+Proceedings+of+the+Twenty%2DEighth+Internation)
305. Kunpeng Song, Yizhe Zhu, Bingchen Liu, Qing Yan, Ahmed Elgammal, and Xiao Yang. 2025. Moma: Multimodal llm adapter for fast personalized image generation. In European Conference on Computer Vision, pages 117–132. Springer. [find](https://scholar.google.com/scholar?q=Kunpeng+Song%2C+Yizhe+Zhu%2C+Bingchen+Liu%2C+Qing+Yan%2C+Ahmed+Elgammal%2C+and+Xiao+Yang%2E+2025%2E+Moma%3A+Multimodal+llm+adapter+for+fast+personalized+image+generation%2E+In+European+Conference+on+Computer+Vision%2C+pa)
306. Wenfeng Song, Xuan Wang, Shi Zheng, Shuai Li, Aimin Hao, and Xia Hou. 2024a. Talkingstyle: Personalized speech-driven 3d facial animation with style preservation. IEEE Transactions on Visualization and Computer Graphics. [find](https://scholar.google.com/scholar?q=Wenfeng+Song%2C+Xuan+Wang%2C+Shi+Zheng%2C+Shuai+Li%2C+Aimin+Hao%2C+and+Xia+Hou%2E+2024a%2E+Talkingstyle%3A+Personalized+speech%2Ddriven+3d+facial+animation+with+style+preservation%2E+IEEE+Transactions+on+Visualization+an)
307. Yizhi Song, Zhifei Zhang, Zhe Lin, Scott Cohen, Brian Price, Jianming Zhang, Soo Ye Kim, He Zhang, Wei Xiong, and Daniel Aliaga. 2024b. Imprint: Generative object compositing by learning identity-preserving representation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Reco… [find](https://scholar.google.com/scholar?q=Yizhi+Song%2C+Zhifei+Zhang%2C+Zhe+Lin%2C+Scott+Cohen%2C+Brian+Price%2C+Jianming+Zhang%2C+Soo+Ye+Kim%2C+He+Zhang%2C+Wei+Xiong%2C+and+Daniel+Aliaga%2E+2024b%2E+Imprint%3A+Generative+object+compositing+by+learning+identity%2Dpres)
308. Yun-Zhu Song, Yi-Syuan Chen, Lu Wang, and Hong-Han Shuai. 2023. General then personal: Decoupling and pre-training for personalized headline generation. Transactions of the Association for Computational Linguistics, 11:1588–1607. [find](https://scholar.google.com/scholar?q=Yun%2DZhu+Song%2C+Yi%2DSyuan+Chen%2C+Lu+Wang%2C+and+Hong%2DHan+Shuai%2E+2023%2E+General+then+personal%3A+Decoupling+and+pre%2Dtraining+for+personalized+headline+generation%2E+Transactions+of+the+Association+for+Computation)
309. K Soomro. 2012. Ucf101: A dataset of 101 human actions classes from videos in the wild. arXiv preprint arXiv:1212.0402. — [arXiv:1212.0402](https://arxiv.org/abs/1212.0402) [find](https://scholar.google.com/scholar?q=K+Soomro%2E+2012%2E+Ucf101%3A+A+dataset+of+101+human+actions+classes+from+videos+in+the+wild%2E+arXiv+preprint+arXiv%3A1212%2E0402%2E+%E2%80%94+%5BarXiv%3A1212%2E0402%5D%28https%3A%2F%2Farxiv%2Eorg%2Fabs%2F1212%2E0402%29)
310. Ke Sun, Jian Cao, Qi Wang, Linrui Tian, Xindi Zhang, Lian Zhuo, Bang Zhang, Liefeng Bo, Wenbo Zhou, Weiming Zhang, et al. 2024a. Outfitanyone: Ultra-high quality virtual try-on for any clothing and any person. arXiv preprint arXiv:2407.16224. — [arXiv:2407.16224](https://arxiv.org/abs/2407.16224) [find](https://scholar.google.com/scholar?q=Ke+Sun%2C+Jian+Cao%2C+Qi+Wang%2C+Linrui+Tian%2C+Xindi+Zhang%2C+Lian+Zhuo%2C+Bang+Zhang%2C+Liefeng+Bo%2C+Wenbo+Zhou%2C+Weiming+Zhang%2C+et+al%2E+2024a%2E+Outfitanyone%3A+Ultra%2Dhigh+quality+virtual+try%2Don+for+any+clothing+and+an)
311. Peijie Sun, Le Wu, Kun Zhang, Yanjie Fu, Richang Hong, and Meng Wang. 2020. Dual learning for explainable recommendation: Towards unifying user preference prediction and review generation. In Proceedings of The Web Conference 2020, pages 837– 847. [find](https://scholar.google.com/scholar?q=Peijie+Sun%2C+Le+Wu%2C+Kun+Zhang%2C+Yanjie+Fu%2C+Richang+Hong%2C+and+Meng+Wang%2E+2020%2E+Dual+learning+for+explainable+recommendation%3A+Towards+unifying+user+preference+prediction+and+review+generation%2E+In+Proceedi)
312. Zhouhao Sun, Li Du, Xiao Ding, Yixuan Ma, Yang Zhao, Kaitao Qiu, Ting Liu, and Bing Qin. 2024b. Causal-guided active learning for debiasing large language models. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 14455– 14469. A… [find](https://scholar.google.com/scholar?q=Zhouhao+Sun%2C+Li+Du%2C+Xiao+Ding%2C+Yixuan+Ma%2C+Yang+Zhao%2C+Kaitao+Qiu%2C+Ting+Liu%2C+and+Bing+Qin%2E+2024b%2E+Causal%2Dguided+active+learning+for+debiasing+large+language+models%2E+In+Proceedings+of+the+62nd+Annual+Mee)
313. Kim Sung-Bin, Lee Chae-Yeon, Gihun Son, Oh Hyun-Bin, Janghoon Ju, Suekyeong Nam, and Tae-Hyun Oh. 2024. Multitalk: Enhancing 3d talking head generation across languages with multilingual video dataset. In Interspeech 2024, pages 1380–1384. [find](https://scholar.google.com/scholar?q=Kim+Sung%2DBin%2C+Lee+Chae%2DYeon%2C+Gihun+Son%2C+Oh+Hyun%2DBin%2C+Janghoon+Ju%2C+Suekyeong+Nam%2C+and+Tae%2DHyun+Oh%2E+2024%2E+Multitalk%3A+Enhancing+3d+talking+head+generation+across+languages+with+multilingual+video+dataset)
314. Shuai Tan, Bin Ji, Mengxiao Bi, and Ye Pan. 2025. Edtalk: Efficient disentanglement for emotional talking head synthesis. In European Conference on Computer Vision, pages 398–416. Springer. [find](https://scholar.google.com/scholar?q=Shuai+Tan%2C+Bin+Ji%2C+Mengxiao+Bi%2C+and+Ye+Pan%2E+2025%2E+Edtalk%3A+Efficient+disentanglement+for+emotional+talking+head+synthesis%2E+In+European+Conference+on+Computer+Vision%2C+pages+398%E2%80%93416%2E+Springer%2E)
315. Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, Zheyuan Liu, Bing Yin, and Meng Jiang. 2024. [Democratizing large language models via personalized parameter-efficient fine-tuning](https://md.research.elamur.ai/free/en/papers/tan-2024-democratizing-large-language-models-personalized/). arXiv preprint arXiv:2402.04401.
316. Brian Jay Tang, Kaiwen Sun, Noah T Curran, Florian Schaub, and Kang G Shin. 2024a. Genai advertising: Risks of personalizing ads with llms. arXiv preprint arXiv:2409.15436. — [arXiv:2409.15436](https://arxiv.org/abs/2409.15436) [find](https://scholar.google.com/scholar?q=Brian+Jay+Tang%2C+Kaiwen+Sun%2C+Noah+T+Curran%2C+Florian+Schaub%2C+and+Kang+G+Shin%2E+2024a%2E+Genai+advertising%3A+Risks+of+personalizing+ads+with+llms%2E+arXiv+preprint+arXiv%3A2409%2E15436%2E+%E2%80%94+%5BarXiv%3A2409%2E15436%5D%28https%3A)
317. Yihong Tang, Bo Wang, Dongming Zhao, Jinxiaojia Jinxiaojia, Zhangjijun Zhangjijun, Ruifang He, and Yuexian Hou. 2024b. MORPHEUS: Modeling role from personalized dialogue history by exploring and utilizing latent space. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Pr… [find](https://scholar.google.com/scholar?q=Yihong+Tang%2C+Bo+Wang%2C+Dongming+Zhao%2C+Jinxiaojia+Jinxiaojia%2C+Zhangjijun+Zhangjijun%2C+Ruifang+He%2C+and+Yuexian+Hou%2E+2024b%2E+MORPHEUS%3A+Modeling+role+from+personalized+dialogue+history+by+exploring+and+utili)
318. Yoad Tewel, Rinon Gal, Gal Chechik, and Yuval Atzmon. 2023. Key-locked rank one editing for text-to-image personalization. In ACM SIGGRAPH 2023 Conference Proceedings, pages 1–11. [find](https://scholar.google.com/scholar?q=Yoad+Tewel%2C+Rinon+Gal%2C+Gal+Chechik%2C+and+Yuval+Atzmon%2E+2023%2E+Key%2Dlocked+rank+one+editing+for+text%2Dto%2Dimage+personalization%2E+In+ACM+SIGGRAPH+2023+Conference+Proceedings%2C+pages+1%E2%80%9311%2E)
319. Cynthia A. Thompson, Mehmet H. Göker, and Pat Langley. 2004. A personalized system for conversational recommendations. J. Artif. Int. Res., 21(1):393–428. [find](https://scholar.google.com/scholar?q=Cynthia+A%2E+Thompson%2C+Mehmet+H%2E+G%C3%B6ker%2C+and+Pat+Langley%2E+2004%2E+A+personalized+system+for+conversational+recommendations%2E+J%2E+Artif%2E+Int%2E+Res%2E%2C+21%281%29%3A393%E2%80%93428%2E)
320. Linrui Tian, Qi Wang, Bang Zhang, and Liefeng Bo. 2025. Emo: Emote portrait alive generating expressive portrait videos with audio2video diffusion model under weak conditions. In European Conference on Computer Vision, pages 244–260. Springer. [find](https://scholar.google.com/scholar?q=Linrui+Tian%2C+Qi+Wang%2C+Bang+Zhang%2C+and+Liefeng+Bo%2E+2025%2E+Emo%3A+Emote+portrait+alive+generating+expressive+portrait+videos+with+audio2video+diffusion+model+under+weak+conditions%2E+In+European+Conference+o)
321. Yu-Min Tseng, Yu-Chao Huang, Teng-Yun Hsiao, Wei-Lin Chen, Chao-Wei Huang, Yu Meng, and Yun-Nung Chen. 2024. [Two tales of persona in LLMs: A survey of role-playing and personalization](https://md.research.elamur.ai/free/en/papers/tseng-2024-two-tales-persona-llms-survey/). In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 16612–16631. Association for Comput…
322. Thomas Unterthiner, Sjoerd Van Steenkiste, Karol Kurach, Raphael Marinier, Marcin Michalski, and Sylvain Gelly. 2018. Towards accurate generative models of video: A new metric & challenges. arXiv preprint arXiv:1812.01717. — [arXiv:1812.01717](https://arxiv.org/abs/1812.01717) [find](https://scholar.google.com/scholar?q=Thomas+Unterthiner%2C+Sjoerd+Van+Steenkiste%2C+Karol+Kurach%2C+Raphael+Marinier%2C+Marcin+Michalski%2C+and+Sylvain+Gelly%2E+2018%2E+Towards+accurate+generative+models+of+video%3A+A+new+metric+%26+challenges%2E+arXiv+prep)
323. Dani Valevski, Danny Lumen, Yossi Matias, and Yaniv Leviathan. 2023. Face0: Instantaneously conditioning a text-to-image model on a face. In SIGGRAPH Asia 2023 Conference Papers, pages 1–10. [find](https://scholar.google.com/scholar?q=Dani+Valevski%2C+Danny+Lumen%2C+Yossi+Matias%2C+and+Yaniv+Leviathan%2E+2023%2E+Face0%3A+Instantaneously+conditioning+a+text%2Dto%2Dimage+model+on+a+face%2E+In+SIGGRAPH+Asia+2023+Conference+Papers%2C+pages+1%E2%80%9310%2E)
324. Shanu Vashishtha, Abhinav Prakash, Lalitesh Morishetti, Kaushiki Nag, Yokila Arora, Sushant Kumar, and Kannan Achan. 2024. Chaining text-to-image and large language model: A novel approach for generating personalized e-commerce banners. In Proceedings of the 30th ACM SIGKDD Conference on Knowledge D… [find](https://scholar.google.com/scholar?q=Shanu+Vashishtha%2C+Abhinav+Prakash%2C+Lalitesh+Morishetti%2C+Kaushiki+Nag%2C+Yokila+Arora%2C+Sushant+Kumar%2C+and+Kannan+Achan%2E+2024%2E+Chaining+text%2Dto%2Dimage+and+large+language+model%3A+A+novel+approach+for+generat)
325. Timo Von Marcard, Roberto Henschel, Michael J Black, Bodo Rosenhahn, and Gerard Pons-Moll. 2018. Recovering accurate 3d human pose in the wild using imus and a moving camera. In Proceedings of the European conference on computer vision (ECCV), pages 601–617. [find](https://scholar.google.com/scholar?q=Timo+Von+Marcard%2C+Roberto+Henschel%2C+Michael+J+Black%2C+Bodo+Rosenhahn%2C+and+Gerard+Pons%2DMoll%2E+2018%2E+Recovering+accurate+3d+human+pose+in+the+wild+using+imus+and+a+moving+camera%2E+In+Proceedings+of+the+Eur)
326. Dimitri Von Rütte, Elisabetta Fedele, Jonathan Thomm, and Lukas Wolf. 2023. Fabric: Personalizing diffusion models with iterative feedback. arXiv preprint arXiv:2307.10159. — [arXiv:2307.10159](https://arxiv.org/abs/2307.10159) [find](https://scholar.google.com/scholar?q=Dimitri+Von+R%C3%BCtte%2C+Elisabetta+Fedele%2C+Jonathan+Thomm%2C+and+Lukas+Wolf%2E+2023%2E+Fabric%3A+Personalizing+diffusion+models+with+iterative+feedback%2E+arXiv+preprint+arXiv%3A2307%2E10159%2E+%E2%80%94+%5BarXiv%3A2307%2E10159%5D%28https%3A)
327. Andrey Voynov, Qinghao Chu, Daniel Cohen-Or, and Kfir Aberman. 2023. p+: Extended textual conditioning in text-to-image generation. arXiv preprint arXiv:2303.09522. — [arXiv:2303.09522](https://arxiv.org/abs/2303.09522) [find](https://scholar.google.com/scholar?q=Andrey+Voynov%2C+Qinghao+Chu%2C+Daniel+Cohen%2DOr%2C+and+Kfir+Aberman%2E+2023%2E+p%2B%3A+Extended+textual+conditioning+in+text%2Dto%2Dimage+generation%2E+arXiv+preprint+arXiv%3A2303%2E09522%2E+%E2%80%94+%5BarXiv%3A2303%2E09522%5D%28https%3A%2F%2Farxiv%2E)
328. Cong Wan, Yuhang He, Xiang Song, and Yihong Gong. 2024. Prompt-agnostic adversarial perturbation for customized diffusion models. In The Thirty-eighth Annual Conference on Neural Information Processing Systems. [find](https://scholar.google.com/scholar?q=Cong+Wan%2C+Yuhang+He%2C+Xiang+Song%2C+and+Yihong+Gong%2E+2024%2E+Prompt%2Dagnostic+adversarial+perturbation+for+customized+diffusion+models%2E+In+The+Thirty%2Deighth+Annual+Conference+on+Neural+Information+Processin)
329. Mengting Wan and Julian J. McAuley. 2018. Item recommendation on monotonic behavior chains. In Proceedings of the 12th ACM Conference on Recommender Systems, RecSys 2018, Vancouver, BC, Canada, October 2-7, 2018, pages 86–94. ACM. [find](https://scholar.google.com/scholar?q=Mengting+Wan+and+Julian+J%2E+McAuley%2E+2018%2E+Item+recommendation+on+monotonic+behavior+chains%2E+In+Proceedings+of+the+12th+ACM+Conference+on+Recommender+Systems%2C+RecSys+2018%2C+Vancouver%2C+BC%2C+Canada%2C+Octobe)
330. Mengting Wan, Rishabh Misra, Ndapa Nakashole, and Julian J. McAuley. 2019. Fine-grained spoiler detection from large-scale review corpora. In Proceedings of the 57th Conference of the Association for Computational Linguistics, ACL 2019, Florence, Italy, July 28- August 2, 2019, Volume 1: Long Papers… [find](https://scholar.google.com/scholar?q=Mengting+Wan%2C+Rishabh+Misra%2C+Ndapa+Nakashole%2C+and+Julian+J%2E+McAuley%2E+2019%2E+Fine%2Dgrained+spoiler+detection+from+large%2Dscale+review+corpora%2E+In+Proceedings+of+the+57th+Conference+of+the+Association+for+)
331. Siqi Wan, Yehao Li, Jingwen Chen, Yingwei Pan, Ting Yao, Yang Cao, and Tao Mei. 2025. Improving virtual try-on with garment-focused diffusion models. In European Conference on Computer Vision, pages 184–199. Springer. [find](https://scholar.google.com/scholar?q=Siqi+Wan%2C+Yehao+Li%2C+Jingwen+Chen%2C+Yingwei+Pan%2C+Ting+Yao%2C+Yang+Cao%2C+and+Tao+Mei%2E+2025%2E+Improving+virtual+try%2Don+with+garment%2Dfocused+diffusion+models%2E+In+European+Conference+on+Computer+Vision%2C+pages+1)
332. Thanh Van Le, Hao Phung, Thuan Hoang Nguyen, Quan Dao, Ngoc N Tran, and Anh Tran. 2023. Anti-dreambooth: Protecting users from personalized text-to-image synthesis. In Proceedings of the IEEE/CVF International Conference on Computer Vision, pages 2116–2127. [find](https://scholar.google.com/scholar?q=Thanh+Van+Le%2C+Hao+Phung%2C+Thuan+Hoang+Nguyen%2C+Quan+Dao%2C+Ngoc+N+Tran%2C+and+Anh+Tran%2E+2023%2E+Anti%2Ddreambooth%3A+Protecting+users+from+personalized+text%2Dto%2Dimage+synthesis%2E+In+Proceedings+of+the+IEEE%2FCVF+Inte)
333. Yixin Wan, Jieyu Zhao, Aman Chadha, Nanyun Peng, and Kai-Wei Chang. 2023. Are personalized stochastic parrots more dangerous? evaluating persona biases in dialogue systems. In Findings of the Association for Computational Linguistics: EMNLP 2023, pages 9677–9705. Association for Computational Lingui… [find](https://scholar.google.com/scholar?q=Yixin+Wan%2C+Jieyu+Zhao%2C+Aman+Chadha%2C+Nanyun+Peng%2C+and+Kai%2DWei+Chang%2E+2023%2E+Are+personalized+stochastic+parrots+more+dangerous%3F+evaluating+persona+biases+in+dialogue+systems%2E+In+Findings+of+the+Associat)
334. Pol van Rijn, Silvan Mertes, Dominik Schiller, Piotr Dura, Hubert Siuzdak, Peter Harrison, Elisabeth André, and Nori Jacoby. 2022. Voiceme: Personalized voice generation in tts. In Interspeech 2022, pages 2588–2592. [find](https://scholar.google.com/scholar?q=Pol+van+Rijn%2C+Silvan+Mertes%2C+Dominik+Schiller%2C+Piotr+Dura%2C+Hubert+Siuzdak%2C+Peter+Harrison%2C+Elisabeth+Andr%C3%A9%2C+and+Nori+Jacoby%2E+2022%2E+Voiceme%3A+Personalized+voice+generation+in+tts%2E+In+Interspeech+2022%2C+p)
335. Bochao Wang, Huabin Zheng, Xiaodan Liang, Yimin Chen, Liang Lin, and Meng Yang. 2018a. Toward characteristic-preserving image-based virtual try-on network. In Proceedings of the European conference on computer vision (ECCV), pages 589–604. [find](https://scholar.google.com/scholar?q=Bochao+Wang%2C+Huabin+Zheng%2C+Xiaodan+Liang%2C+Yimin+Chen%2C+Liang+Lin%2C+and+Meng+Yang%2E+2018a%2E+Toward+characteristic%2Dpreserving+image%2Dbased+virtual+try%2Don+network%2E+In+Proceedings+of+the+European+conference+on)
336. Danqing Wang, Kevin Yang, Hanlin Zhu, Xiaomeng Yang, Andrew Cohen, Lei Li, and Yuandong Tian. 2024a. Learning personalized alignment for evaluating open-ended text generation. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 13274–13292, Miami, Florida… [find](https://scholar.google.com/scholar?q=Danqing+Wang%2C+Kevin+Yang%2C+Hanlin+Zhu%2C+Xiaomeng+Yang%2C+Andrew+Cohen%2C+Lei+Li%2C+and+Yuandong+Tian%2E+2024a%2E+Learning+personalized+alignment+for+evaluating+open%2Dended+text+generation%2E+In+Proceedings+of+the+20)
337. Fu-Yun Wang, Zhaoyang Huang, Weikang Bian, Xiaoyu Shi, Keqiang Sun, Guanglu Song, Yu Liu, and Hongsheng Li. 2024b. Animatelcm: Computation-efficient personalized style video generation without personalized video data. In SIGGRAPH Asia 2024 Technical Communications, pages 1–5. [find](https://scholar.google.com/scholar?q=Fu%2DYun+Wang%2C+Zhaoyang+Huang%2C+Weikang+Bian%2C+Xiaoyu+Shi%2C+Keqiang+Sun%2C+Guanglu+Song%2C+Yu+Liu%2C+and+Hongsheng+Li%2E+2024b%2E+Animatelcm%3A+Computation%2Defficient+personalized+style+video+generation+without+persona)
338. Hao Wang, Yitong Wang, Zheng Zhou, Xing Ji, Dihong Gong, Jingchao Zhou, Zhifeng Li, and Wei Liu. 2018b. Cosface: Large margin cosine loss for deep face recognition. In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 5265–5274. [find](https://scholar.google.com/scholar?q=Hao+Wang%2C+Yitong+Wang%2C+Zheng+Zhou%2C+Xing+Ji%2C+Dihong+Gong%2C+Jingchao+Zhou%2C+Zhifeng+Li%2C+and+Wei+Liu%2E+2018b%2E+Cosface%3A+Large+margin+cosine+loss+for+deep+face+recognition%2E+In+Proceedings+of+the+IEEE+conferen)
339. Haoran Wang, Mohit Mendiratta, Christian Theobalt, and Adam Kortylewski. 2024c. Facegpt: Self-supervised learning to chat about 3d human faces. arXiv preprint, arXiv:2406.07163. — [arXiv:2406.07163](https://arxiv.org/abs/2406.07163) [find](https://scholar.google.com/scholar?q=Haoran+Wang%2C+Mohit+Mendiratta%2C+Christian+Theobalt%2C+and+Adam+Kortylewski%2E+2024c%2E+Facegpt%3A+Self%2Dsupervised+learning+to+chat+about+3d+human+faces%2E+arXiv+preprint%2C+arXiv%3A2406%2E07163%2E+%E2%80%94+%5BarXiv%3A2406%2E07163%5D%28h)
340. Haotian Wang, Yuzhe Weng, Yueyan Li, Zilu Guo, Jun Du, Shutong Niu, Jiefeng Ma, Shan He, Xiaoyan Wu, Qiming Hu, et al. 2024d. Emotivetalk: Expressive talking head generation through audio information decoupling and emotional video diffusion. arXiv preprint arXiv:2411.16726. — [arXiv:2411.16726](https://arxiv.org/abs/2411.16726) [find](https://scholar.google.com/scholar?q=Haotian+Wang%2C+Yuzhe+Weng%2C+Yueyan+Li%2C+Zilu+Guo%2C+Jun+Du%2C+Shutong+Niu%2C+Jiefeng+Ma%2C+Shan+He%2C+Xiaoyan+Wu%2C+Qiming+Hu%2C+et+al%2E+2024d%2E+Emotivetalk%3A+Expressive+talking+head+generation+through+audio+information+)
341. Hongru Wang, Wenyu Huang, Yang Deng, Rui Wang, Zezhong Wang, Yufei Wang, Fei Mi, Jeff Z. Pan, and Kam-Fai Wong. 2024e. Unims-rag: A unified multi-source retrieval-augmented generation for personalized dialogue systems. Preprint, arXiv:2401.13256. — [arXiv:2401.13256](https://arxiv.org/abs/2401.13256) [find](https://scholar.google.com/scholar?q=Hongru+Wang%2C+Wenyu+Huang%2C+Yang+Deng%2C+Rui+Wang%2C+Zezhong+Wang%2C+Yufei+Wang%2C+Fei+Mi%2C+Jeff+Z%2E+Pan%2C+and+Kam%2DFai+Wong%2E+2024e%2E+Unims%2Drag%3A+A+unified+multi%2Dsource+retrieval%2Daugmented+generation+for+personalized)
342. Jianrong Wang, Zixuan Wang, Xiaosheng Hu, Xuewei Li, Qiang Fang, and Li Liu. 2022a. Residual-guided personalized speech synthesis based on face image. In ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 4743–4747. IEEE. [find](https://scholar.google.com/scholar?q=Jianrong+Wang%2C+Zixuan+Wang%2C+Xiaosheng+Hu%2C+Xuewei+Li%2C+Qiang+Fang%2C+and+Li+Liu%2E+2022a%2E+Residual%2Dguided+personalized+speech+synthesis+based+on+face+image%2E+In+ICASSP+2022%2D2022+IEEE+International+Conference)
343. Kaisiyuan Wang, Qianyi Wu, Linsen Song, Zhuoqian Yang, Wayne Wu, Chen Qian, Ran He, Yu Qiao, and Chen Change Loy. 2020. Mead: A large-scale audio-visual dataset for emotional talking-face generation. In European Conference on Computer Vision, pages 700–717. Springer. [find](https://scholar.google.com/scholar?q=Kaisiyuan+Wang%2C+Qianyi+Wu%2C+Linsen+Song%2C+Zhuoqian+Yang%2C+Wayne+Wu%2C+Chen+Qian%2C+Ran+He%2C+Yu+Qiao%2C+and+Chen+Change+Loy%2E+2020%2E+Mead%3A+A+large%2Dscale+audio%2Dvisual+dataset+for+emotional+talking%2Dface+generation%2E+)
344. Noah Wang, Z.y. Peng, Haoran Que, Jiaheng Liu, Wangchunshu Zhou, Yuhan Wu, Hongcheng Guo, Ruitong Gan, Zehao Ni, Jian Yang, Man Zhang, Zhaoxiang Zhang, Wanli Ouyang, Ke Xu, Wenhao Huang, Jie Fu, and Junran Peng. 2024f. [RoleLLM: Benchmarking, eliciting, and enhancing role-playing abilities of large l…](https://md.research.elamur.ai/free/en/papers/wang-2023-rolellm-benchmarking-eliciting-enhancing-role/)
345. Qixun Wang, Xu Bai, Haofan Wang, Zekui Qin, Anthony Chen, Huaxia Li, Xu Tang, and Yao Hu. 2024g. Instantid: Zero-shot identity-preserving generation in seconds. arXiv preprint arXiv:2401.07519. — [arXiv:2401.07519](https://arxiv.org/abs/2401.07519) [find](https://scholar.google.com/scholar?q=Qixun+Wang%2C+Xu+Bai%2C+Haofan+Wang%2C+Zekui+Qin%2C+Anthony+Chen%2C+Huaxia+Li%2C+Xu+Tang%2C+and+Yao+Hu%2E+2024g%2E+Instantid%3A+Zero%2Dshot+identity%2Dpreserving+generation+in+seconds%2E+arXiv+preprint+arXiv%3A2401%2E07519%2E+%E2%80%94+%5BarX)
346. Quan Wang, Sheng Li, Xinpeng Zhang, and Guorui Feng. 2023a. Rethinking neural style transfer: Generating personalized and watermarked stylized images. In Proceedings of the 31st ACM International Conference on Multimedia, pages 6928–6937. [find](https://scholar.google.com/scholar?q=Quan+Wang%2C+Sheng+Li%2C+Xinpeng+Zhang%2C+and+Guorui+Feng%2E+2023a%2E+Rethinking+neural+style+transfer%3A+Generating+personalized+and+watermarked+stylized+images%2E+In+Proceedings+of+the+31st+ACM+International+Conf)
347. Tan Wang, Linjie Li, Kevin Lin, Chung-Ching Lin, Zhengyuan Yang, Hanwang Zhang, Zicheng Liu, and Lijuan Wang. 2023b. Disco: Disentangled control for referring human dance generation in real world. arXiv e-prints, pages arXiv–2307. [find](https://scholar.google.com/scholar?q=Tan+Wang%2C+Linjie+Li%2C+Kevin+Lin%2C+Chung%2DChing+Lin%2C+Zhengyuan+Yang%2C+Hanwang+Zhang%2C+Zicheng+Liu%2C+and+Lijuan+Wang%2E+2023b%2E+Disco%3A+Disentangled+control+for+referring+human+dance+generation+in+real+world%2E+arX)
348. Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Guilin Liu, Andrew Tao, Jan Kautz, and Bryan Catanzaro. 2018c. Video-to-video synthesis. In Proceedings of the 32nd International Conference on Neural Information Processing Systems, NIPS’18, page 1152–1164. Curran Associates Inc. [find](https://scholar.google.com/scholar?q=Ting%2DChun+Wang%2C+Ming%2DYu+Liu%2C+Jun%2DYan+Zhu%2C+Guilin+Liu%2C+Andrew+Tao%2C+Jan+Kautz%2C+and+Bryan+Catanzaro%2E+2018c%2E+Video%2Dto%2Dvideo+synthesis%2E+In+Proceedings+of+the+32nd+International+Conference+on+Neural+Informa)
349. Weijie Wang, Jichao Zhang, Chang Liu, Xia Li, Xingqian Xu, Humphrey Shi, Nicu Sebe, and Bruno Lepri. 2024h. Uvmap-id: A controllable and personalized uv map generative model. In Proceedings of the 32nd ACM International Conference on Multimedia, pages 10725–10734. [find](https://scholar.google.com/scholar?q=Weijie+Wang%2C+Jichao+Zhang%2C+Chang+Liu%2C+Xia+Li%2C+Xingqian+Xu%2C+Humphrey+Shi%2C+Nicu+Sebe%2C+and+Bruno+Lepri%2E+2024h%2E+Uvmap%2Did%3A+A+controllable+and+personalized+uv+map+generative+model%2E+In+Proceedings+of+the+32n)
350. Wenjie Wang, Fuli Feng, Liqiang Nie, and Tat-Seng Chua. 2022b. User-controllable recommendation against filter bubbles. In Proceedings of the 45th international ACM SIGIR conference on research and development in information retrieval, pages 1251– 1261. [find](https://scholar.google.com/scholar?q=Wenjie+Wang%2C+Fuli+Feng%2C+Liqiang+Nie%2C+and+Tat%2DSeng+Chua%2E+2022b%2E+User%2Dcontrollable+recommendation+against+filter+bubbles%2E+In+Proceedings+of+the+45th+international+ACM+SIGIR+conference+on+research+and+de)
351. Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, and Tat-Seng Chua. 2023c. Generative recommendation: Towards next-generation recommender paradigm. arXiv preprint arXiv:2304.03516. — [arXiv:2304.03516](https://arxiv.org/abs/2304.03516) [find](https://scholar.google.com/scholar?q=Wenjie+Wang%2C+Xinyu+Lin%2C+Fuli+Feng%2C+Xiangnan+He%2C+and+Tat%2DSeng+Chua%2E+2023c%2E+Generative+recommendation%3A+Towards+next%2Dgeneration+recommender+paradigm%2E+arXiv+preprint+arXiv%3A2304%2E03516%2E+%E2%80%94+%5BarXiv%3A2304%2E03516%5D)
352. Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yunshan Ma, and Tat-Seng Chua. 2023d. Causal disentangled recommendation against user preference shifts. ACM Transactions on Information Systems, 42(1):1–27. [find](https://scholar.google.com/scholar?q=Wenjie+Wang%2C+Xinyu+Lin%2C+Liuhui+Wang%2C+Fuli+Feng%2C+Yunshan+Ma%2C+and+Tat%2DSeng+Chua%2E+2023d%2E+Causal+disentangled+recommendation+against+user+preference+shifts%2E+ACM+Transactions+on+Information+Systems%2C+42%281%29%3A)
353. Wenjie Wang, Yiyan Xu, Fuli Feng, Xinyu Lin, Xiangnan He, and Tat-Seng Chua. 2023e. Diffusion recommender model. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR ’23, page 832–841, New York, NY, USA. Association for Computing M… [find](https://scholar.google.com/scholar?q=Wenjie+Wang%2C+Yiyan+Xu%2C+Fuli+Feng%2C+Xinyu+Lin%2C+Xiangnan+He%2C+and+Tat%2DSeng+Chua%2E+2023e%2E+Diffusion+recommender+model%2E+In+Proceedings+of+the+46th+International+ACM+SIGIR+Conference+on+Research+and+Developme)
354. X Wang, Siming Fu, Qihan Huang, Wanggui He, and Hao Jiang. 2024i. Ms-diffusion: Multi-subject zero-shot image personalization with layout guidance. arXiv preprint arXiv:2406.07209. — [arXiv:2406.07209](https://arxiv.org/abs/2406.07209) [find](https://scholar.google.com/scholar?q=X+Wang%2C+Siming+Fu%2C+Qihan+Huang%2C+Wanggui+He%2C+and+Hao+Jiang%2E+2024i%2E+Ms%2Ddiffusion%3A+Multi%2Dsubject+zero%2Dshot+image+personalization+with+layout+guidance%2E+arXiv+preprint+arXiv%3A2406%2E07209%2E+%E2%80%94+%5BarXiv%3A2406%2E07209)
355. Xianquan Wang, Likang Wu, Shukang Yin, Zhi Li, Yanjiang Chen, Hufeng Hufeng, Yu Su, and Qi Liu. 2024j. I-am-g: Interest augmented multimodal generator for item personalization. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 21303–21317. [find](https://scholar.google.com/scholar?q=Xianquan+Wang%2C+Likang+Wu%2C+Shukang+Yin%2C+Zhi+Li%2C+Yanjiang+Chen%2C+Hufeng+Hufeng%2C+Yu+Su%2C+and+Qi+Liu%2E+2024j%2E+I%2Dam%2Dg%3A+Interest+augmented+multimodal+generator+for+item+personalization%2E+In+Proceedings+of+the+2)
356. Xuan Wang, Guanhong Wang, Wenhao Chai, Jiayu Zhou, and Gaoang Wang. 2023f. User-aware prefix-tuning is a good learner for personalized image captioning. In Chinese Conference on Pattern Recognition and Computer Vision (PRCV), pages 384–395. Springer. [find](https://scholar.google.com/scholar?q=Xuan+Wang%2C+Guanhong+Wang%2C+Wenhao+Chai%2C+Jiayu+Zhou%2C+and+Gaoang+Wang%2E+2023f%2E+User%2Daware+prefix%2Dtuning+is+a+good+learner+for+personalized+image+captioning%2E+In+Chinese+Conference+on+Pattern+Recognition+an)
357. Yanan Wang, Yan Pei, Zerui Ma, and Jianqiang Li. 2024k. A user-guided generation framework for personalized music synthesis using interactive evolutionary computation. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 1762–1769. [find](https://scholar.google.com/scholar?q=Yanan+Wang%2C+Yan+Pei%2C+Zerui+Ma%2C+and+Jianqiang+Li%2E+2024k%2E+A+user%2Dguided+generation+framework+for+personalized+music+synthesis+using+interactive+evolutionary+computation%2E+In+Proceedings+of+the+Genetic+an)
358. Yaqing Wang, Jiepu Jiang, Mingyang Zhang, Cheng Li, Yi Liang, Qiaozhu Mei, and Michael Bendersky. 2023g. Automated evaluation of personalized text generation using large language models. Preprint, arXiv:2310.11593. — [arXiv:2310.11593](https://arxiv.org/abs/2310.11593) [find](https://scholar.google.com/scholar?q=Yaqing+Wang%2C+Jiepu+Jiang%2C+Mingyang+Zhang%2C+Cheng+Li%2C+Yi+Liang%2C+Qiaozhu+Mei%2C+and+Michael+Bendersky%2E+2023g%2E+Automated+evaluation+of+personalized+text+generation+using+large+language+models%2E+Preprint%2C+arX)
359. Yuanbin Wang, Weilun Dai, Long Chan, Huanyu Zhou, Aixi Zhang, and Si Liu. 2024l. Gpd-vvto: Preserving garment details in video virtual try-on. In Proceedings of the 32nd ACM International Conference on Multimedia, pages 7133–7142. [find](https://scholar.google.com/scholar?q=Yuanbin+Wang%2C+Weilun+Dai%2C+Long+Chan%2C+Huanyu+Zhou%2C+Aixi+Zhang%2C+and+Si+Liu%2E+2024l%2E+Gpd%2Dvvto%3A+Preserving+garment+details+in+video+virtual+try%2Don%2E+In+Proceedings+of+the+32nd+ACM+International+Conference+o)
360. Zhao Wang, Aoxue Li, Lingting Zhu, Yong Guo, Qi Dou, and Zhenguo Li. 2024m. Customvideo: Customizing text-to-video generation with multiple subjects. arXiv preprint arXiv:2401.09962. — [arXiv:2401.09962](https://arxiv.org/abs/2401.09962) [find](https://scholar.google.com/scholar?q=Zhao+Wang%2C+Aoxue+Li%2C+Lingting+Zhu%2C+Yong+Guo%2C+Qi+Dou%2C+and+Zhenguo+Li%2E+2024m%2E+Customvideo%3A+Customizing+text%2Dto%2Dvideo+generation+with+multiple+subjects%2E+arXiv+preprint+arXiv%3A2401%2E09962%2E+%E2%80%94+%5BarXiv%3A2401%2E099)
361. Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli. 2004. Image quality assessment: from error visibility to structural similarity. IEEE transactions on image processing, 13(4):600–612. [find](https://scholar.google.com/scholar?q=Zhou+Wang%2C+Alan+C+Bovik%2C+Hamid+R+Sheikh%2C+and+Eero+P+Simoncelli%2E+2004%2E+Image+quality+assessment%3A+from+error+visibility+to+structural+similarity%2E+IEEE+transactions+on+image+processing%2C+13%284%29%3A600%E2%80%93612%2E)
362. Zhou Wang, Eero P Simoncelli, and Alan C Bovik. 2003. Multiscale structural similarity for image quality assessment. In The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003, volume 2, pages 1398–1402. Ieee. [find](https://scholar.google.com/scholar?q=Zhou+Wang%2C+Eero+P+Simoncelli%2C+and+Alan+C+Bovik%2E+2003%2E+Multiscale+structural+similarity+for+image+quality+assessment%2E+In+The+Thrity%2DSeventh+Asilomar+Conference+on+Signals%2C+Systems+%26+Computers%2C+2003%2C+vo)
363. Zijie J Wang and Duen Horng Chau. 2024. Mememo: On-device retrieval augmentation for private and personalized text generation. In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 2765–2770. [find](https://scholar.google.com/scholar?q=Zijie+J+Wang+and+Duen+Horng+Chau%2E+2024%2E+Mememo%3A+On%2Ddevice+retrieval+augmentation+for+private+and+personalized+text+generation%2E+In+Proceedings+of+the+47th+International+ACM+SIGIR+Conference+on+Research)
364. Fanyue Wei, Wei Zeng, Zhenyang Li, Dawei Yin, Lixin Duan, and Wen Li. 2025a. Powerful and flexible: Personalized text-to-image generation via reinforcement learning. In European Conference on Computer Vision, pages 394–410. Springer. [find](https://scholar.google.com/scholar?q=Fanyue+Wei%2C+Wei+Zeng%2C+Zhenyang+Li%2C+Dawei+Yin%2C+Lixin+Duan%2C+and+Wen+Li%2E+2025a%2E+Powerful+and+flexible%3A+Personalized+text%2Dto%2Dimage+generation+via+reinforcement+learning%2E+In+European+Conference+on+Computer)
365. Huawei Wei, Zejun Yang, and Zhisheng Wang. 2024a. Aniportrait: Audio-driven synthesis of photorealistic portrait animation. arXiv preprint arXiv:2403.17694. — [arXiv:2403.17694](https://arxiv.org/abs/2403.17694) [find](https://scholar.google.com/scholar?q=Huawei+Wei%2C+Zejun+Yang%2C+and+Zhisheng+Wang%2E+2024a%2E+Aniportrait%3A+Audio%2Ddriven+synthesis+of+photorealistic+portrait+animation%2E+arXiv+preprint+arXiv%3A2403%2E17694%2E+%E2%80%94+%5BarXiv%3A2403%2E17694%5D%28https%3A%2F%2Farxiv%2Eorg%2Fabs%2F)
366. Yujie Wei, Shiwei Zhang, Zhiwu Qing, Hangjie Yuan, Zhiheng Liu, Yu Liu, Yingya Zhang, Jingren Zhou, and Hongming Shan. 2024b. Dreamvideo: Composing your dream videos with customized subject and motion. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 6537–6… [find](https://scholar.google.com/scholar?q=Yujie+Wei%2C+Shiwei+Zhang%2C+Zhiwu+Qing%2C+Hangjie+Yuan%2C+Zhiheng+Liu%2C+Yu+Liu%2C+Yingya+Zhang%2C+Jingren+Zhou%2C+and+Hongming+Shan%2E+2024b%2E+Dreamvideo%3A+Composing+your+dream+videos+with+customized+subject+and+motion)
367. Yujie Wei, Shiwei Zhang, Hangjie Yuan, Xiang Wang, Haonan Qiu, Rui Zhao, Yutong Feng, Feng Liu, Zhizhong Huang, Jiaxin Ye, et al. 2024c. Dreamvideo-2: Zero-shot subject-driven video customization with precise motion control. arXiv preprint arXiv:2410.13830. — [arXiv:2410.13830](https://arxiv.org/abs/2410.13830) [find](https://scholar.google.com/scholar?q=Yujie+Wei%2C+Shiwei+Zhang%2C+Hangjie+Yuan%2C+Xiang+Wang%2C+Haonan+Qiu%2C+Rui+Zhao%2C+Yutong+Feng%2C+Feng+Liu%2C+Zhizhong+Huang%2C+Jiaxin+Ye%2C+et+al%2E+2024c%2E+Dreamvideo%2D2%3A+Zero%2Dshot+subject%2Ddriven+video+customization+with)
368. Yuxiang Wei, Zhilong Ji, Jinfeng Bai, Hongzhi Zhang, Lei Zhang, and Wangmeng Zuo. 2025b. Master-weaver: Taming editability and face identity for personalized text-to-image generation. In European Conference on Computer Vision, pages 252–271. Springer. [find](https://scholar.google.com/scholar?q=Yuxiang+Wei%2C+Zhilong+Ji%2C+Jinfeng+Bai%2C+Hongzhi+Zhang%2C+Lei+Zhang%2C+and+Wangmeng+Zuo%2E+2025b%2E+Master%2Dweaver%3A+Taming+editability+and+face+identity+for+personalized+text%2Dto%2Dimage+generation%2E+In+European+Conf)
369. Yuxiang Wei, Yabo Zhang, Zhilong Ji, Jinfeng Bai, Lei Zhang, and Wangmeng Zuo. 2023. Elite: Encoding visual concepts into textual embeddings for customized text-to-image generation. In Proceedings of the IEEE/CVF International Conference on Computer Vision, pages 15943–15953. [find](https://scholar.google.com/scholar?q=Yuxiang+Wei%2C+Yabo+Zhang%2C+Zhilong+Ji%2C+Jinfeng+Bai%2C+Lei+Zhang%2C+and+Wangmeng+Zuo%2E+2023%2E+Elite%3A+Encoding+visual+concepts+into+textual+embeddings+for+customized+text%2Dto%2Dimage+generation%2E+In+Proceedings+of+)
370. Matthias Wright and Björn Ommer. 2022. Artfid: Quantitative evaluation of neural style transfer. In DAGM German Conference on Pattern Recognition, pages 560–576. Springer. [find](https://scholar.google.com/scholar?q=Matthias+Wright+and+Bj%C3%B6rn+Ommer%2E+2022%2E+Artfid%3A+Quantitative+evaluation+of+neural+style+transfer%2E+In+DAGM+German+Conference+on+Pattern+Recognition%2C+pages+560%E2%80%93576%2E+Springer%2E)
371. Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu, and Ming Zhou. 2020a. [MIND: A large-scale dataset for news recommendation](https://md.research.elamur.ai/free/en/papers/wu-2020-mind-large-scale-dataset-news/). In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 3597–3…
372. Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu, et al. 2020b. [Mind: A large-scale dataset for news recommendation](https://md.research.elamur.ai/free/en/papers/wu-2020-mind-large-scale-dataset-news/). In Proceedings of the 58th annual meeting of the association for computational linguistics, pages 3597–3606.
373. Haoning Wu, Erli Zhang, Liang Liao, Chaofeng Chen, Jingwen Hou, Annan Wang, Wenxiu Sun, Qiong Yan, and Weisi Lin. 2023a. Exploring video quality assessment on user generated contents from aesthetic and technical perspectives. In Proceedings of the IEEE/CVF International Conference on Computer Vision… [find](https://scholar.google.com/scholar?q=Haoning+Wu%2C+Erli+Zhang%2C+Liang+Liao%2C+Chaofeng+Chen%2C+Jingwen+Hou%2C+Annan+Wang%2C+Wenxiu+Sun%2C+Qiong+Yan%2C+and+Weisi+Lin%2E+2023a%2E+Exploring+video+quality+assessment+on+user+generated+contents+from+aesthetic+an)
374. Jianzong Wu, Xiangtai Li, Yanhong Zeng, Jiangning Zhang, Qianyu Zhou, Yining Li, Yunhai Tong, and Kai Chen. 2024a. Motionbooth: Motion-aware customized text-to-video generation. arXiv preprint arXiv:2406.17758. — [arXiv:2406.17758](https://arxiv.org/abs/2406.17758) [find](https://scholar.google.com/scholar?q=Jianzong+Wu%2C+Xiangtai+Li%2C+Yanhong+Zeng%2C+Jiangning+Zhang%2C+Qianyu+Zhou%2C+Yining+Li%2C+Yunhai+Tong%2C+and+Kai+Chen%2E+2024a%2E+Motionbooth%3A+Motion%2Daware+customized+text%2Dto%2Dvideo+generation%2E+arXiv+preprint+arXiv%3A2)
375. Junda Wu, Hanjia Lyu, Yu Xia, Zhehao Zhang, Joe Barrow, Ishita Kumar, Mehrnoosh Mirtaheri, Hongjie Chen, Ryan A Rossi, Franck Dernoncourt, et al. 2024b. Personalized multimodal [large language models: A survey](https://md.research.elamur.ai/free/en/papers/minaee-2024-large-language-models-survey/). arXiv preprint arXiv:2412.02142. — [arXiv:2412.02142](https://arxiv.org/abs/2412.02142)
376. Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang, Hongchao Gu, Tingjia Shen, Chuan Qin, Chen Zhu, Hengshu Zhu, Qi Liu, Hui Xiong, and Enhong Chen. 2024c. A survey on large language models for recommendation. Preprint, arXiv:2305.19860. — [arXiv:2305.19860](https://arxiv.org/abs/2305.19860) [find](https://scholar.google.com/scholar?q=Likang+Wu%2C+Zhi+Zheng%2C+Zhaopeng+Qiu%2C+Hao+Wang%2C+Hongchao+Gu%2C+Tingjia+Shen%2C+Chuan+Qin%2C+Chen+Zhu%2C+Hengshu+Zhu%2C+Qi+Liu%2C+Hui+Xiong%2C+and+Enhong+Chen%2E+2024c%2E+A+survey+on+large+language+models+for+recommendati)
377. Tao Wu, Yong Zhang, Xintao Wang, Xianpan Zhou, Guangcong Zheng, Zhongang Qi, Ying Shan, and Xi Li. 2024d. Customcrafter: Customized video generation with preserving motion and concept composition abilities. arXiv preprint arXiv:2408.13239. — [arXiv:2408.13239](https://arxiv.org/abs/2408.13239) [find](https://scholar.google.com/scholar?q=Tao+Wu%2C+Yong+Zhang%2C+Xintao+Wang%2C+Xianpan+Zhou%2C+Guangcong+Zheng%2C+Zhongang+Qi%2C+Ying+Shan%2C+and+Xi+Li%2E+2024d%2E+Customcrafter%3A+Customized+video+generation+with+preserving+motion+and+concept+composition+abil)
378. Xiaoshi Wu, Yiming Hao, Keqiang Sun, Yixiong Chen, Feng Zhu, Rui Zhao, and Hongsheng Li. 2023b. Human preference score v2: A solid benchmark for evaluating human preferences of text-to-image synthesis. arXiv preprint arXiv:2306.09341. — [arXiv:2306.09341](https://arxiv.org/abs/2306.09341) [find](https://scholar.google.com/scholar?q=Xiaoshi+Wu%2C+Yiming+Hao%2C+Keqiang+Sun%2C+Yixiong+Chen%2C+Feng+Zhu%2C+Rui+Zhao%2C+and+Hongsheng+Li%2E+2023b%2E+Human+preference+score+v2%3A+A+solid+benchmark+for+evaluating+human+preferences+of+text%2Dto%2Dimage+synthesis)
379. Xiaoshi Wu, Keqiang Sun, Feng Zhu, Rui Zhao, and Hongsheng Li. 2023c. Human preference score: Better aligning text-to-image models with human preference. In Proceedings of the IEEE/CVF International Conference on Computer Vision, pages 2096–2105. [find](https://scholar.google.com/scholar?q=Xiaoshi+Wu%2C+Keqiang+Sun%2C+Feng+Zhu%2C+Rui+Zhao%2C+and+Hongsheng+Li%2E+2023c%2E+Human+preference+score%3A+Better+aligning+text%2Dto%2Dimage+models+with+human+preference%2E+In+Proceedings+of+the+IEEE%2FCVF+International+C)
380. Yi Wu, Ziqiang Li, Heliang Zheng, Chaoyue Wang, and Bin Li. 2025a. Infinite-id: Identity-preserved personalization via id-semantics decoupling paradigm. In European Conference on Computer Vision, pages 279–296. Springer. [find](https://scholar.google.com/scholar?q=Yi+Wu%2C+Ziqiang+Li%2C+Heliang+Zheng%2C+Chaoyue+Wang%2C+and+Bin+Li%2E+2025a%2E+Infinite%2Did%3A+Identity%2Dpreserved+personalization+via+id%2Dsemantics+decoupling+paradigm%2E+In+European+Conference+on+Computer+Vision%2C+page)
381. Yihan Wu, Ruihua Song, Xu Chen, Hao Jiang, Zhao Cao, and Jin Yu. 2024e. Understanding human preferences: Towards more personalized video to text generation. In Proceedings of the ACM on Web Conference 2024, pages 3952–3963. [find](https://scholar.google.com/scholar?q=Yihan+Wu%2C+Ruihua+Song%2C+Xu+Chen%2C+Hao+Jiang%2C+Zhao+Cao%2C+and+Jin+Yu%2E+2024e%2E+Understanding+human+preferences%3A+Towards+more+personalized+video+to+text+generation%2E+In+Proceedings+of+the+ACM+on+Web+Conference)
382. Yongliang Wu, Shiji Zhou, Mingzhuo Yang, Lianzhe Wang, Heng Chang, Wenbo Zhu, Xinting Hu, Xiao Zhou, and Xu Yang. 2025b. Unlearning concepts in diffusion model via concept domain correction and concept preserving gradient. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI). [find](https://scholar.google.com/scholar?q=Yongliang+Wu%2C+Shiji+Zhou%2C+Mingzhuo+Yang%2C+Lianzhe+Wang%2C+Heng+Chang%2C+Wenbo+Zhu%2C+Xinting+Hu%2C+Xiao+Zhou%2C+and+Xu+Yang%2E+2025b%2E+Unlearning+concepts+in+diffusion+model+via+concept+domain+correction+and+concep)
383. Yujia Wu, Yiming Shi, Jiwei Wei, Chengwei Sun, Yuyang Zhou, Yang Yang, and Heng Tao Shen. 2024f. Difflora: Generating personalized low-rank adaptation weights with diffusion. arXiv preprint arXiv:2408.06740. — [arXiv:2408.06740](https://arxiv.org/abs/2408.06740) [find](https://scholar.google.com/scholar?q=Yujia+Wu%2C+Yiming+Shi%2C+Jiwei+Wei%2C+Chengwei+Sun%2C+Yuyang+Zhou%2C+Yang+Yang%2C+and+Heng+Tao+Shen%2E+2024f%2E+Difflora%3A+Generating+personalized+low%2Drank+adaptation+weights+with+diffusion%2E+arXiv+preprint+arXiv%3A2408)
384. Weihao Xia, Yujiu Yang, Jing-Hao Xue, and Baoyuan Wu. 2021. Tedigan: Text-guided diverse face image generation and manipulation. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 2256–2265. [find](https://scholar.google.com/scholar?q=Weihao+Xia%2C+Yujiu+Yang%2C+Jing%2DHao+Xue%2C+and+Baoyuan+Wu%2E+2021%2E+Tedigan%3A+Text%2Dguided+diverse+face+image+generation+and+manipulation%2E+In+Proceedings+of+the+IEEE%2FCVF+conference+on+computer+vision+and+patter)
385. Guangxuan Xiao, Tianwei Yin, William T Freeman, Frédo Durand, and Song Han. 2024a. Fastcomposer: Tuning-free multi-subject image generation with localized attention. International Journal of Computer Vision, pages 1–20. [find](https://scholar.google.com/scholar?q=Guangxuan+Xiao%2C+Tianwei+Yin%2C+William+T+Freeman%2C+Fr%C3%A9do+Durand%2C+and+Song+Han%2E+2024a%2E+Fastcomposer%3A+Tuning%2Dfree+multi%2Dsubject+image+generation+with+localized+attention%2E+International+Journal+of+Computer+)
386. Guangxuan Xiao, Tianwei Yin, William T. Freeman, Frédo Durand, and Song Han. 2024b. Fastcomposer: Tuning-free multi-subject image generation with localized attention. International Journal of Computer Vision. [find](https://scholar.google.com/scholar?q=Guangxuan+Xiao%2C+Tianwei+Yin%2C+William+T%2E+Freeman%2C+Fr%C3%A9do+Durand%2C+and+Song+Han%2E+2024b%2E+Fastcomposer%3A+Tuning%2Dfree+multi%2Dsubject+image+generation+with+localized+attention%2E+International+Journal+of+Computer)
387. Zhujun Xiao, Jenna Cryan, Yuanshun Yao, Yi Hong Cheo, Yuanchao Shu, Stefan Saroiu, Ben Y Zhao, and Haitao Zheng. 2023. "my face, my rules": Enabling personalized protection against unacceptable face editing. Proceedings on Privacy Enhancing Technologies, 2023(3). [find](https://scholar.google.com/scholar?q=Zhujun+Xiao%2C+Jenna+Cryan%2C+Yuanshun+Yao%2C+Yi+Hong+Cheo%2C+Yuanchao+Shu%2C+Stefan+Saroiu%2C+Ben+Y+Zhao%2C+and+Haitao+Zheng%2E+2023%2E+%22my+face%2C+my+rules%22%3A+Enabling+personalized+protection+against+unacceptable+face+e)
388. Jinheng Xie, Weijia Mao, Zechen Bai, David Junhao Zhang, Weihao Wang, Kevin Qinghong Lin, Yuchao Gu, Zhijie Chen, Zhenheng Yang, and Mike Zheng Shou. 2025. Show-o: One single transformer to unify multimodal understanding and generation. In The Thirteenth International Conference on Learning Represen… [find](https://scholar.google.com/scholar?q=Jinheng+Xie%2C+Weijia+Mao%2C+Zechen+Bai%2C+David+Junhao+Zhang%2C+Weihao+Wang%2C+Kevin+Qinghong+Lin%2C+Yuchao+Gu%2C+Zhijie+Chen%2C+Zhenheng+Yang%2C+and+Mike+Zheng+Shou%2E+2025%2E+Show%2Do%3A+One+single+transformer+to+unify+mult)
389. Zhenyu Xie, Haoye Dong, Yufei Gao, Zehua Ma, and Xiaodan Liang. 2024. Dreamvton: Customizing 3d virtual try-on with personalized diffusion models. In Proceedings of the 32nd ACM International Conference on Multimedia, pages 10784–10793. [find](https://scholar.google.com/scholar?q=Zhenyu+Xie%2C+Haoye+Dong%2C+Yufei+Gao%2C+Zehua+Ma%2C+and+Xiaodan+Liang%2E+2024%2E+Dreamvton%3A+Customizing+3d+virtual+try%2Don+with+personalized+diffusion+models%2E+In+Proceedings+of+the+32nd+ACM+International+Conferen)
390. Kun Xiong, Liu Jiang, Xuan Dang, Guolong Wang, Wenwen Ye, and Zheng Qin. 2020. Towards personalized aesthetic image caption. In 2020 International Joint Conference on Neural Networks (IJCNN), pages 1–8. IEEE. [find](https://scholar.google.com/scholar?q=Kun+Xiong%2C+Liu+Jiang%2C+Xuan+Dang%2C+Guolong+Wang%2C+Wenwen+Ye%2C+and+Zheng+Qin%2E+2020%2E+Towards+personalized+aesthetic+image+caption%2E+In+2020+International+Joint+Conference+on+Neural+Networks+%28IJCNN%29%2C+pages+1%E2%80%93)
391. Yuliang Xiu, Yufei Ye, Zhen Liu, Dimitris Tzionas, and Michael J Black. 2024. Puzzleavatar: Assembling 3d avatars from personal albums. ACM Transactions on Graphics (TOG), 43(6):1–15. [find](https://scholar.google.com/scholar?q=Yuliang+Xiu%2C+Yufei+Ye%2C+Zhen+Liu%2C+Dimitris+Tzionas%2C+and+Michael+J+Black%2E+2024%2E+Puzzleavatar%3A+Assembling+3d+avatars+from+personal+albums%2E+ACM+Transactions+on+Graphics+%28TOG%29%2C+43%286%29%3A1%E2%80%9315%2E)
392. Jiazheng Xu, Xiao Liu, Yuchen Wu, Yuxuan Tong, Qinkai Li, Ming Ding, Jie Tang, and Yuxiao Dong. 2023a. Imagereward: Learning and evaluating human preferences for text-to-image generation. Advances in Neural Information Processing Systems, 36:15903–15935. [find](https://scholar.google.com/scholar?q=Jiazheng+Xu%2C+Xiao+Liu%2C+Yuchen+Wu%2C+Yuxuan+Tong%2C+Qinkai+Li%2C+Ming+Ding%2C+Jie+Tang%2C+and+Yuxiao+Dong%2E+2023a%2E+Imagereward%3A+Learning+and+evaluating+human+preferences+for+text%2Dto%2Dimage+generation%2E+Advances+in+)
393. Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, and Xiaodong He. 2018. Attngan: Fine-grained text to image generation with attentional generative adversarial networks. In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 1316–1324. [find](https://scholar.google.com/scholar?q=Tao+Xu%2C+Pengchuan+Zhang%2C+Qiuyuan+Huang%2C+Han+Zhang%2C+Zhe+Gan%2C+Xiaolei+Huang%2C+and+Xiaodong+He%2E+2018%2E+Attngan%3A+Fine%2Dgrained+text+to+image+generation+with+attentional+generative+adversarial+networks%2E+In+Pr)
394. Xinchao Xu, Zeyang Lei, Wenquan Wu, Zheng-Yu Niu, Hua Wu, and Haifeng Wang. 2023b. Towards zero-shot persona dialogue generation with in-context learning. In Findings of the Association for Computational Linguistics: ACL 2023, pages 1387–1398. [find](https://scholar.google.com/scholar?q=Xinchao+Xu%2C+Zeyang+Lei%2C+Wenquan+Wu%2C+Zheng%2DYu+Niu%2C+Hua+Wu%2C+and+Haifeng+Wang%2E+2023b%2E+Towards+zero%2Dshot+persona+dialogue+generation+with+in%2Dcontext+learning%2E+In+Findings+of+the+Association+for+Computatio)
395. Xinchao Xu, Zeyang Lei, Wenquan Wu, Zheng-Yu Niu, Hua Wu, and Haifeng Wang. 2023c. Towards zero-shot persona dialogue generation with in-context learning. In Findings of the Association for Computational Linguistics: ACL 2023, pages 1387–1398, Toronto, Canada. Association for Computational Linguisti… [find](https://scholar.google.com/scholar?q=Xinchao+Xu%2C+Zeyang+Lei%2C+Wenquan+Wu%2C+Zheng%2DYu+Niu%2C+Hua+Wu%2C+and+Haifeng+Wang%2E+2023c%2E+Towards+zero%2Dshot+persona+dialogue+generation+with+in%2Dcontext+learning%2E+In+Findings+of+the+Association+for+Computatio)
396. Yifei Xu, Xiaolong Xu, Honghao Gao, and Fu Xiao. 2024a. Sgdm: An adaptive style-guided diffusion model for personalized text to image generation. IEEE Transactions on Multimedia. [find](https://scholar.google.com/scholar?q=Yifei+Xu%2C+Xiaolong+Xu%2C+Honghao+Gao%2C+and+Fu+Xiao%2E+2024a%2E+Sgdm%3A+An+adaptive+style%2Dguided+diffusion+model+for+personalized+text+to+image+generation%2E+IEEE+Transactions+on+Multimedia%2E)
397. Yiyan Xu, Wenjie Wang, Fuli Feng, Yunshan Ma, Jizhi Zhang, and Xiangnan He. 2024b. Diffusion models for generative outfit recommendation. In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 1350–1359. [find](https://scholar.google.com/scholar?q=Yiyan+Xu%2C+Wenjie+Wang%2C+Fuli+Feng%2C+Yunshan+Ma%2C+Jizhi+Zhang%2C+and+Xiangnan+He%2E+2024b%2E+Diffusion+models+for+generative+outfit+recommendation%2E+In+Proceedings+of+the+47th+International+ACM+SIGIR+Conference+)
398. Sidi Yang, Tianhe Wu, Shuwei Shi, Shanshan Lao, Yuan Gong, Mingdeng Cao, Jiahao Wang, and Yujiu Yang. 2022. Maniqa: Multi-dimension attention network for no-reference image quality assessment. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 1191–1200. [find](https://scholar.google.com/scholar?q=Sidi+Yang%2C+Tianhe+Wu%2C+Shuwei+Shi%2C+Shanshan+Lao%2C+Yuan+Gong%2C+Mingdeng+Cao%2C+Jiahao+Wang%2C+and+Yujiu+Yang%2E+2022%2E+Maniqa%3A+Multi%2Ddimension+attention+network+for+no%2Dreference+image+quality+assessment%2E+In+Proc)
399. Yiyan Xu, Wenjie Wang, Yang Zhang, Tang Biao, Peng Yan, Fuli Feng, and Xiangnan He. 2024c. Personalized image generation with large multimodal models. arXiv preprint arXiv:2410.14170. — [arXiv:2410.14170](https://arxiv.org/abs/2410.14170) [find](https://scholar.google.com/scholar?q=Yiyan+Xu%2C+Wenjie+Wang%2C+Yang+Zhang%2C+Tang+Biao%2C+Peng+Yan%2C+Fuli+Feng%2C+and+Xiangnan+He%2E+2024c%2E+Personalized+image+generation+with+large+multimodal+models%2E+arXiv+preprint+arXiv%3A2410%2E14170%2E+%E2%80%94+%5BarXiv%3A2410%2E14)
400. Wanting Yang, Zehui Xiong, Song Guo, Shiwen Mao, Dong In Kim, and Merouane Debbah. 2024c. Efficient multi-user offloading of personalized diffusion models: A drl-convex hybrid solution. arXiv preprint arXiv:2411.15781. — [arXiv:2411.15781](https://arxiv.org/abs/2411.15781) [find](https://scholar.google.com/scholar?q=Wanting+Yang%2C+Zehui+Xiong%2C+Song+Guo%2C+Shiwen+Mao%2C+Dong+In+Kim%2C+and+Merouane+Debbah%2E+2024c%2E+Efficient+multi%2Duser+offloading+of+personalized+diffusion+models%3A+A+drl%2Dconvex+hybrid+solution%2E+arXiv+preprint)
401. Yiyan Xu, Wuqiang Zheng, Wenjie Wang, Fengbin Zhu, Xinting Hu, Yang Zhang, Fuli Feng, and Tat-Seng Chua. 2025. Drc: Enhancing personalized image generation via disentangled representation composition. arXiv preprint arXiv:2504.17349. — [arXiv:2504.17349](https://arxiv.org/abs/2504.17349) [find](https://scholar.google.com/scholar?q=Yiyan+Xu%2C+Wuqiang+Zheng%2C+Wenjie+Wang%2C+Fengbin+Zhu%2C+Xinting+Hu%2C+Yang+Zhang%2C+Fuli+Feng%2C+and+Tat%2DSeng+Chua%2E+2025%2E+Drc%3A+Enhancing+personalized+image+generation+via+disentangled+representation+composition%2E)
402. Yuhao Xu, Tao Gu, Weifeng Chen, and Chengcai Chen. 2024d. Ootdiffusion: Outfitting fusion based latent diffusion for controllable virtual try-on. arXiv preprint arXiv:2403.01779. — [arXiv:2403.01779](https://arxiv.org/abs/2403.01779) [find](https://scholar.google.com/scholar?q=Yuhao+Xu%2C+Tao+Gu%2C+Weifeng+Chen%2C+and+Chengcai+Chen%2E+2024d%2E+Ootdiffusion%3A+Outfitting+fusion+based+latent+diffusion+for+controllable+virtual+try%2Don%2E+arXiv+preprint+arXiv%3A2403%2E01779%2E+%E2%80%94+%5BarXiv%3A2403%2E01779%5D%28)
403. Zhengze Xu, Mengting Chen, Zhao Wang, Linyu Xing, Zhonghua Zhai, Nong Sang, Jinsong Lan, Shuai Xiao, and Changxin Gao. 2024e. Tunnel try-on: Excavating spatial-temporal tunnels for high-quality virtual try-on in videos. In Proceedings of the 32nd ACM International Conference on Multimedia, pages 319… [find](https://scholar.google.com/scholar?q=Zhengze+Xu%2C+Mengting+Chen%2C+Zhao+Wang%2C+Linyu+Xing%2C+Zhonghua+Zhai%2C+Nong+Sang%2C+Jinsong+Lan%2C+Shuai+Xiao%2C+and+Changxin+Gao%2E+2024e%2E+Tunnel+try%2Don%3A+Excavating+spatial%2Dtemporal+tunnels+for+high%2Dquality+virtua)
404. Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Hanshu Yan, Jia-Wei Liu, Chenxu Zhang, Jiashi Feng, and Mike Zheng Shou. 2024f. Magicanimate: Temporally consistent human image animation using diffusion model. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 148… [find](https://scholar.google.com/scholar?q=Zhongcong+Xu%2C+Jianfeng+Zhang%2C+Jun+Hao+Liew%2C+Hanshu+Yan%2C+Jia%2DWei+Liu%2C+Chenxu+Zhang%2C+Jiashi+Feng%2C+and+Mike+Zheng+Shou%2E+2024f%2E+Magicanimate%3A+Temporally+consistent+human+image+animation+using+diffusion+mo)
405. Yuxuan Yan, Chi Zhang, Rui Wang, Yichao Zhou, Gege Zhang, Pei Cheng, Gang Yu, and Bin Fu. 2023. Facestudio: Put your face everywhere in seconds. arXiv preprint arXiv:2312.02663. — [arXiv:2312.02663](https://arxiv.org/abs/2312.02663) [find](https://scholar.google.com/scholar?q=Yuxuan+Yan%2C+Chi+Zhang%2C+Rui+Wang%2C+Yichao+Zhou%2C+Gege+Zhang%2C+Pei+Cheng%2C+Gang+Yu%2C+and+Bin+Fu%2E+2023%2E+Facestudio%3A+Put+your+face+everywhere+in+seconds%2E+arXiv+preprint+arXiv%3A2312%2E02663%2E+%E2%80%94+%5BarXiv%3A2312%2E02663%5D%28h)
406. Fan Yang, Zheng Chen, Ziyan Jiang, Eunah Cho, Xiaojiang Huang, and Yanbin Lu. 2023a. Palr: Personalization aware llms for recommendation. Preprint, arXiv:2305.07622. — [arXiv:2305.07622](https://arxiv.org/abs/2305.07622) [find](https://scholar.google.com/scholar?q=Fan+Yang%2C+Zheng+Chen%2C+Ziyan+Jiang%2C+Eunah+Cho%2C+Xiaojiang+Huang%2C+and+Yanbin+Lu%2E+2023a%2E+Palr%3A+Personalization+aware+llms+for+recommendation%2E+Preprint%2C+arXiv%3A2305%2E07622%2E+%E2%80%94+%5BarXiv%3A2305%2E07622%5D%28https%3A%2F%2Farxiv)
407. Hao Yang, Jianxin Yuan, Shuai Yang, Linhe Xu, Shuo Yuan, and Yifan Zeng. 2024a. A new creative generation pipeline for click-through rate with stable diffusion model. In Companion Proceedings of the ACM on Web Conference 2024, pages 180–189. [find](https://scholar.google.com/scholar?q=Hao+Yang%2C+Jianxin+Yuan%2C+Shuai+Yang%2C+Linhe+Xu%2C+Shuo+Yuan%2C+and+Yifan+Zeng%2E+2024a%2E+A+new+creative+generation+pipeline+for+click%2Dthrough+rate+with+stable+diffusion+model%2E+In+Companion+Proceedings+of+the+A)
408. Jianan Yang, Haobo Wang, Yanming Zhang, Ruixuan Xiao, Sai Wu, Gang Chen, and Junbo Zhao. 2023b. Controllable textual inversion for personalized text-to-image generation. arXiv preprint arXiv:2304.05265. — [arXiv:2304.05265](https://arxiv.org/abs/2304.05265) [find](https://scholar.google.com/scholar?q=Jianan+Yang%2C+Haobo+Wang%2C+Yanming+Zhang%2C+Ruixuan+Xiao%2C+Sai+Wu%2C+Gang+Chen%2C+and+Junbo+Zhao%2E+2023b%2E+Controllable+textual+inversion+for+personalized+text%2Dto%2Dimage+generation%2E+arXiv+preprint+arXiv%3A2304%2E0526)
409. Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Shaochen Zhong, Bing Yin, and Xia Hu. 2024b. [Harnessing the power of llms in practice: A survey on chatgpt and beyond](https://md.research.elamur.ai/free/en/papers/yang-2023-harnessing-power-llms-practice-survey/). ACM Transactions on Knowledge Discovery from Data, 18(6):1–32.
410. Xu Yang, Yongliang Wu, Mingzhuo Yang, Haokun Chen, and Xin Geng. 2023c. Exploring diverse in-context configurations for image captioning. Advances in Neural Information Processing Systems, 36:40924–40943. [find](https://scholar.google.com/scholar?q=Xu+Yang%2C+Yongliang+Wu%2C+Mingzhuo+Yang%2C+Haokun+Chen%2C+and+Xin+Geng%2E+2023c%2E+Exploring+diverse+in%2Dcontext+configurations+for+image+captioning%2E+Advances+in+Neural+Information+Processing+Systems%2C+36%3A40924%E2%80%9340)
411. Yang Yang, Wen Wang, Liang Peng, Chaotian Song, Yao Chen, Hengjia Li, Xiaolong Yang, Qinglin Lu, Deng Cai, Boxi Wu, et al. 2024d. Lora-composer: Leveraging low-rank adaptation for multi-concept customization in training-free diffusion models. arXiv preprint arXiv:2403.11627. — [arXiv:2403.11627](https://arxiv.org/abs/2403.11627) [find](https://scholar.google.com/scholar?q=Yang+Yang%2C+Wen+Wang%2C+Liang+Peng%2C+Chaotian+Song%2C+Yao+Chen%2C+Hengjia+Li%2C+Xiaolong+Yang%2C+Qinglin+Lu%2C+Deng+Cai%2C+Boxi+Wu%2C+et+al%2E+2024d%2E+Lora%2Dcomposer%3A+Leveraging+low%2Drank+adaptation+for+multi%2Dconcept+custom)
412. Zhengyi Yang, Jiancan Wu, Zhicai Wang, Yancheng Yuan, Xiang Wang, and Xiangnan He. 2024e. Generate what you prefer: reshaping sequential recommendation via guided diffusion. In Proceedings of the 37th International Conference on Neural Information Processing Systems, NIPS ’23, Red Hook, NY, USA. Cur… [find](https://scholar.google.com/scholar?q=Zhengyi+Yang%2C+Jiancan+Wu%2C+Zhicai+Wang%2C+Yancheng+Yuan%2C+Xiang+Wang%2C+and+Xiangnan+He%2E+2024e%2E+Generate+what+you+prefer%3A+reshaping+sequential+recommendation+via+guided+diffusion%2E+In+Proceedings+of+the+37th)
413. Zhijing Yang, Mingliang Yang, Siyuan Peng, Jieming Xie, and Chao Long. 2024f. Animated clothing fitting: Semantic-visual fusion for video customization virtual try-on with diffusion models. In 2024 5th International Conference on Electronic Communication and Artificial Intelligence (ICECAI), pages 6… [find](https://scholar.google.com/scholar?q=Zhijing+Yang%2C+Mingliang+Yang%2C+Siyuan+Peng%2C+Jieming+Xie%2C+and+Chao+Long%2E+2024f%2E+Animated+clothing+fitting%3A+Semantic%2Dvisual+fusion+for+video+customization+virtual+try%2Don+with+diffusion+models%2E+In+2024+5t)
414. Shunyu Yao, RuiZhe Zhong, Yichao Yan, Guangtao Zhai, and Xiaokang Yang. 2022. Dfa-nerf: Personalized talking head generation via disentangled face attributes neural rendering. arXiv preprint arXiv:2201.00791. — [arXiv:2201.00791](https://arxiv.org/abs/2201.00791) [find](https://scholar.google.com/scholar?q=Shunyu+Yao%2C+RuiZhe+Zhong%2C+Yichao+Yan%2C+Guangtao+Zhai%2C+and+Xiaokang+Yang%2E+2022%2E+Dfa%2Dnerf%3A+Personalized+talking+head+generation+via+disentangled+face+attributes+neural+rendering%2E+arXiv+preprint+arXiv%3A220)
415. Zebin Yao, Fangxiang Feng, Ruifan Li, and Xiaojie Wang. 2024. Concept conductor: Orchestrating multiple personalized concepts in text-to-image synthesis. arXiv preprint arXiv:2408.03632. — [arXiv:2408.03632](https://arxiv.org/abs/2408.03632) [find](https://scholar.google.com/scholar?q=Zebin+Yao%2C+Fangxiang+Feng%2C+Ruifan+Li%2C+and+Xiaojie+Wang%2E+2024%2E+Concept+conductor%3A+Orchestrating+multiple+personalized+concepts+in+text%2Dto%2Dimage+synthesis%2E+arXiv+preprint+arXiv%3A2408%2E03632%2E+%E2%80%94+%5BarXiv%3A2408)
416. Hu Ye, Jun Zhang, Sibo Liu, Xiao Han, and Wei Yang. 2023. Ip-adapter: Text compatible image prompt adapter for text-to-image diffusion models. arXiv preprint arXiv:2308.06721. — [arXiv:2308.06721](https://arxiv.org/abs/2308.06721) [find](https://scholar.google.com/scholar?q=Hu+Ye%2C+Jun+Zhang%2C+Sibo+Liu%2C+Xiao+Han%2C+and+Wei+Yang%2E+2023%2E+Ip%2Dadapter%3A+Text+compatible+image+prompt+adapter+for+text%2Dto%2Dimage+diffusion+models%2E+arXiv+preprint+arXiv%3A2308%2E06721%2E+%E2%80%94+%5BarXiv%3A2308%2E06721%5D%28htt)
417. Zixuan Ye, Huijuan Huang, Xintao Wang, Pengfei Wan, Di Zhang, and Wenhan Luo. 2024. Stylemaster: Stylize your video with artistic generation and translation. arXiv preprint arXiv:2412.07744. — [arXiv:2412.07744](https://arxiv.org/abs/2412.07744) [find](https://scholar.google.com/scholar?q=Zixuan+Ye%2C+Huijuan+Huang%2C+Xintao+Wang%2C+Pengfei+Wan%2C+Di+Zhang%2C+and+Wenhan+Luo%2E+2024%2E+Stylemaster%3A+Stylize+your+video+with+artistic+generation+and+translation%2E+arXiv+preprint+arXiv%3A2412%2E07744%2E+%E2%80%94+%5BarXiv%3A)
418. Yu-Ying Yeh, Jia-Bin Huang, Changil Kim, Lei Xiao, Thu Nguyen-Phuoc, Numair Khan, Cheng Zhang, Manmohan Chandraker, Carl S Marshall, Zhao Dong, et al. 2024. Texturedreamer: Image-guided texture synthesis through geometry-aware diffusion. In Proceedings of the IEEE/CVF Conference on Computer Vision a… [find](https://scholar.google.com/scholar?q=Yu%2DYing+Yeh%2C+Jia%2DBin+Huang%2C+Changil+Kim%2C+Lei+Xiao%2C+Thu+Nguyen%2DPhuoc%2C+Numair+Khan%2C+Cheng+Zhang%2C+Manmohan+Chandraker%2C+Carl+S+Marshall%2C+Zhao+Dong%2C+et+al%2E+2024%2E+Texturedreamer%3A+Image%2Dguided+texture+synthe)
419. SIGIR Conference on Research and Development in Information Retrieval, SIGIR ’23, page 121–130, New York, NY, USA. Association for Computing Machinery. [find](https://scholar.google.com/scholar?q=SIGIR+Conference+on+Research+and+Development+in+Information+Retrieval%2C+SIGIR+%E2%80%9923%2C+page+121%E2%80%93130%2C+New+York%2C+NY%2C+USA%2E+Association+for+Computing+Machinery%2E)
420. Ran Yi, Zipeng Ye, Juyong Zhang, Hujun Bao, and Yong-Jin Liu. 2020. Audio-driven talking face video generation with learning-based personalized head pose. arXiv preprint arXiv:2002.10137. — [arXiv:2002.10137](https://arxiv.org/abs/2002.10137) [find](https://scholar.google.com/scholar?q=Ran+Yi%2C+Zipeng+Ye%2C+Juyong+Zhang%2C+Hujun+Bao%2C+and+Yong%2DJin+Liu%2E+2020%2E+Audio%2Ddriven+talking+face+video+generation+with+learning%2Dbased+personalized+head+pose%2E+arXiv+preprint+arXiv%3A2002%2E10137%2E+%E2%80%94+%5BarXiv%3A200)
421. Bowen Zhang, Chenyang Qi, Pan Zhang, Bo Zhang, HsiangTao Wu, Dong Chen, Qifeng Chen, Yong Wang, and Fang Wen. 2023a. Metaportrait: Identity-preserving talking head generation with fast personalized adaptation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, page… [find](https://scholar.google.com/scholar?q=Bowen+Zhang%2C+Chenyang+Qi%2C+Pan+Zhang%2C+Bo+Zhang%2C+HsiangTao+Wu%2C+Dong+Chen%2C+Qifeng+Chen%2C+Yong+Wang%2C+and+Fang+Wen%2E+2023a%2E+Metaportrait%3A+Identity%2Dpreserving+talking+head+generation+with+fast+personalized+ad)
422. Cong Yu, Yang Hu, Yan Chen, and Bing Zeng. 2019. Personalized fashion design. In Proceedings of the IEEE/CVF international conference on computer vision, pages 9046–9055. [find](https://scholar.google.com/scholar?q=Cong+Yu%2C+Yang+Hu%2C+Yan+Chen%2C+and+Bing+Zeng%2E+2019%2E+Personalized+fashion+design%2E+In+Proceedings+of+the+IEEE%2FCVF+international+conference+on+computer+vision%2C+pages+9046%E2%80%939055%2E)
423. Jianhui Yu, Hao Zhu, Liming Jiang, Chen Change Loy, Weidong Cai, and Wayne Wu. 2023. Celebv-text: A large-scale facial text-video dataset. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 14805–14814. [find](https://scholar.google.com/scholar?q=Jianhui+Yu%2C+Hao+Zhu%2C+Liming+Jiang%2C+Chen+Change+Loy%2C+Weidong+Cai%2C+and+Wayne+Wu%2E+2023%2E+Celebv%2Dtext%3A+A+large%2Dscale+facial+text%2Dvideo+dataset%2E+In+Proceedings+of+the+IEEE%2FCVF+Conference+on+Computer+Vision+)
424. Zhengyang Yu, Zhaoyuan Yang, and Jing Zhang. 2024. Dreamsteerer: Enhancing source image conditioned editability using personalized diffusion models. In The Thirty-eighth Annual Conference on Neural Information Processing Systems. [find](https://scholar.google.com/scholar?q=Zhengyang+Yu%2C+Zhaoyuan+Yang%2C+and+Jing+Zhang%2E+2024%2E+Dreamsteerer%3A+Enhancing+source+image+conditioned+editability+using+personalized+diffusion+models%2E+In+The+Thirty%2Deighth+Annual+Conference+on+Neural+In)
425. Ge Yuan, Xiaodong Cun, Yong Zhang, Maomao Li, Chenyang Qi, Xintao Wang, Ying Shan, and Huicheng Zheng. 2023. Inserting anybody in diffusion models via celeb basis. In Thirty-seventh Conference on Neural Information Processing Systems. [find](https://scholar.google.com/scholar?q=Ge+Yuan%2C+Xiaodong+Cun%2C+Yong+Zhang%2C+Maomao+Li%2C+Chenyang+Qi%2C+Xintao+Wang%2C+Ying+Shan%2C+and+Huicheng+Zheng%2E+2023%2E+Inserting+anybody+in+diffusion+models+via+celeb+basis%2E+In+Thirty%2Dseventh+Conference+on+Neur)
426. Shenghai Yuan, Jinfa Huang, Xianyi He, Yunyuan Ge, Yujun Shi, Liuhan Chen, Jiebo Luo, and Li Yuan. 2024. Identity-preserving text-to-video generation by frequency decomposition. arXiv preprint arXiv:2411.17440. — [arXiv:2411.17440](https://arxiv.org/abs/2411.17440) [find](https://scholar.google.com/scholar?q=Shenghai+Yuan%2C+Jinfa+Huang%2C+Xianyi+He%2C+Yunyuan+Ge%2C+Yujun+Shi%2C+Liuhan+Chen%2C+Jiebo+Luo%2C+and+Li+Yuan%2E+2024%2E+Identity%2Dpreserving+text%2Dto%2Dvideo+generation+by+frequency+decomposition%2E+arXiv+preprint+arXiv%3A2)
427. Chao Zhang, Sergi Pujades, Michael J Black, and Gerard Pons-Moll. 2017. Detailed, accurate, human shape estimation from clothed 3d scan sequences. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 4191–4200. [find](https://scholar.google.com/scholar?q=Chao+Zhang%2C+Sergi+Pujades%2C+Michael+J+Black%2C+and+Gerard+Pons%2DMoll%2E+2017%2E+Detailed%2C+accurate%2C+human+shape+estimation+from+clothed+3d+scan+sequences%2E+In+Proceedings+of+the+IEEE+Conference+on+Computer+Vis)
428. Chenxu Zhang, Saifeng Ni, Zhipeng Fan, Hongbo Li, Ming Zeng, Madhukar Budagavi, and Xiaohu Guo. 2021a. 3d talking face with personalized pose dynamics. IEEE Transactions on Visualization and Computer Graphics, 29(2):1438–1449. [find](https://scholar.google.com/scholar?q=Chenxu+Zhang%2C+Saifeng+Ni%2C+Zhipeng+Fan%2C+Hongbo+Li%2C+Ming+Zeng%2C+Madhukar+Budagavi%2C+and+Xiaohu+Guo%2E+2021a%2E+3d+talking+face+with+personalized+pose+dynamics%2E+IEEE+Transactions+on+Visualization+and+Computer+)
429. Chenxu Zhang, Chao Wang, Jianfeng Zhang, Hongyi Xu, Guoxian Song, You Xie, Linjie Luo, Yapeng Tian, Xiaohu Guo, and Jiashi Feng. 2023b. Dreamtalk: diffusion-based realistic emotional audio-driven method for single image talking face generation. arXiv preprint arXiv:2312.13578. — [arXiv:2312.13578](https://arxiv.org/abs/2312.13578) [find](https://scholar.google.com/scholar?q=Chenxu+Zhang%2C+Chao+Wang%2C+Jianfeng+Zhang%2C+Hongyi+Xu%2C+Guoxian+Song%2C+You+Xie%2C+Linjie+Luo%2C+Yapeng+Tian%2C+Xiaohu+Guo%2C+and+Jiashi+Feng%2E+2023b%2E+Dreamtalk%3A+diffusion%2Dbased+realistic+emotional+audio%2Ddriven+meth)
430. Jiarui Zhang. 2024. Guided profile generation improves personalization with large language models. In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 4005–4016. [find](https://scholar.google.com/scholar?q=Jiarui+Zhang%2E+2024%2E+Guided+profile+generation+improves+personalization+with+large+language+models%2E+In+Findings+of+the+Association+for+Computational+Linguistics%3A+EMNLP+2024%2C+pages+4005%E2%80%934016%2E)
431. Dongxu Yue, Maomao Li, Yunfei Liu, Qin Guo, Ailing Zeng, Tianyu Yang, and Yu Li. 2025. Addme: Zero-shot group-photo synthesis by inserting people into scenes. In European Conference on Computer Vision, pages 222–239. Springer. [find](https://scholar.google.com/scholar?q=Dongxu+Yue%2C+Maomao+Li%2C+Yunfei+Liu%2C+Qin+Guo%2C+Ailing+Zeng%2C+Tianyu+Yang%2C+and+Yu+Li%2E+2025%2E+Addme%3A+Zero%2Dshot+group%2Dphoto+synthesis+by+inserting+people+into+scenes%2E+In+European+Conference+on+Computer+Vision)
432. Kai Zhang, Yangyang Kang, Fubang Zhao, and Xiaozhong Liu. 2024a. Llm-based medical assistant personalization with short-and long-term memory coordination. In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies… [find](https://scholar.google.com/scholar?q=Kai+Zhang%2C+Yangyang+Kang%2C+Fubang+Zhao%2C+and+Xiaozhong+Liu%2E+2024a%2E+Llm%2Dbased+medical+assistant+personalization+with+short%2Dand+long%2Dterm+memory+coordination%2E+In+Proceedings+of+the+2024+Conference+of+the+)
433. Polina Zablotskaia, Aliaksandr Siarohin, Bo Zhao, and Leonid Sigal. 2019. Dwnet: Dense warp-based network for pose-guided human video generation. arXiv preprint arXiv:1910.09139. — [arXiv:1910.09139](https://arxiv.org/abs/1910.09139) [find](https://scholar.google.com/scholar?q=Polina+Zablotskaia%2C+Aliaksandr+Siarohin%2C+Bo+Zhao%2C+and+Leonid+Sigal%2E+2019%2E+Dwnet%3A+Dense+warp%2Dbased+network+for+pose%2Dguided+human+video+generation%2E+arXiv+preprint+arXiv%3A1910%2E09139%2E+%E2%80%94+%5BarXiv%3A1910%2E09139%5D%28)
434. Kai Zhang, Lizhi Qing, Yangyang Kang, and Xiaozhong Liu. 2024b. Personalized llm response generation with parameterized memory injection. arXiv preprint arXiv:2404.03565. — [arXiv:2404.03565](https://arxiv.org/abs/2404.03565) [find](https://scholar.google.com/scholar?q=Kai+Zhang%2C+Lizhi+Qing%2C+Yangyang+Kang%2C+and+Xiaozhong+Liu%2E+2024b%2E+Personalized+llm+response+generation+with+parameterized+memory+injection%2E+arXiv+preprint+arXiv%3A2404%2E03565%2E+%E2%80%94+%5BarXiv%3A2404%2E03565%5D%28https%3A%2F%2F)
435. Heiga Zen, Viet Dang, Rob Clark, Yu Zhang, Ron J Weiss, Ye Jia, Zhifeng Chen, and Yonghui Wu. 2019. [Libritts: A corpus derived from librispeech for text-to-speech](https://md.research.elamur.ai/free/en/papers/zen-2019-libritts-corpus-derived-librispeech-text/). arXiv preprint arXiv:1904.02882.
436. Kaipeng Zhang, Zhanpeng Zhang, Zhifeng Li, and Yu Qiao. 2016. Joint face detection and alignment using multitask cascaded convolutional networks. IEEE signal processing letters, 23(10):1499–1503. [find](https://scholar.google.com/scholar?q=Kaipeng+Zhang%2C+Zhanpeng+Zhang%2C+Zhifeng+Li%2C+and+Yu+Qiao%2E+2016%2E+Joint+face+detection+and+alignment+using+multitask+cascaded+convolutional+networks%2E+IEEE+signal+processing+letters%2C+23%2810%29%3A1499%E2%80%931503%2E)
437. Andy Zeng, Pete Florence, Jonathan Tompson, Stefan Welker, Jonathan Chien, Maria Attarian, Travis Armstrong, Ivan Krasin, Dan Duong, Vikas Sindhwani, et al. 2021. Transporter networks: Rearranging the visual world for robotic manipulation. In Conference on Robot Learning, pages 726–747. PMLR. [find](https://scholar.google.com/scholar?q=Andy+Zeng%2C+Pete+Florence%2C+Jonathan+Tompson%2C+Stefan+Welker%2C+Jonathan+Chien%2C+Maria+Attarian%2C+Travis+Armstrong%2C+Ivan+Krasin%2C+Dan+Duong%2C+Vikas+Sindhwani%2C+et+al%2E+2021%2E+Transporter+networks%3A+Rearranging+the)
438. Mozhi Zhang, Pengyu Wang, Chenkun Tan, Mianqiu Huang, Dong Zhang, Yaqian Zhou, and Xipeng Qiu. 2024c. Metaalign: Align large language models with diverse preferences during inference time. arXiv preprint arXiv:2410.14184. [find](https://scholar.google.com/scholar?q=Mozhi+Zhang%2C+Pengyu+Wang%2C+Chenkun+Tan%2C+Mianqiu+Huang%2C+Dong+Zhang%2C+Yaqian+Zhou%2C+and+Xipeng+Qiu%2E+2024c%2E+Metaalign%3A+Align+large+language+models+with+diverse+preferences+during+inference+time%2E+arXiv+prepr)
439. Hansi Zeng, Surya Kallumadi, Zaid Alibadi, Rodrigo Nogueira, and Hamed Zamani. 2023. A personalized dense retrieval framework for unified information access. In Proceedings of the 46th International ACM Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang. 2018. The unreasona… [find](https://scholar.google.com/scholar?q=Hansi+Zeng%2C+Surya+Kallumadi%2C+Zaid+Alibadi%2C+Rodrigo+Nogueira%2C+and+Hamed+Zamani%2E+2023%2E+A+personalized+dense+retrieval+framework+for+unified+information+access%2E+In+Proceedings+of+the+46th+International+A)
440. Shufang Zhang, Minxue Ni, Shuai Chen, Lei Wang, Wenxin Ding, and Yuhong Liu. 2024d. A two-stage personalized virtual try-on framework with shape control and texture guidance. IEEE Transactions on Multimedia. [find](https://scholar.google.com/scholar?q=Shufang+Zhang%2C+Minxue+Ni%2C+Shuai+Chen%2C+Lei+Wang%2C+Wenxin+Ding%2C+and+Yuhong+Liu%2E+2024d%2E+A+two%2Dstage+personalized+virtual+try%2Don+framework+with+shape+control+and+texture+guidance%2E+IEEE+Transactions+on+Mult)
441. Tianshu Zhang, Buzhen Huang, and Yangang Wang. 2020a. Object-occluded human shape and pose estimation from a single color image. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 7376–7385. [find](https://scholar.google.com/scholar?q=Tianshu+Zhang%2C+Buzhen+Huang%2C+and+Yangang+Wang%2E+2020a%2E+Object%2Doccluded+human+shape+and+pose+estimation+from+a+single+color+image%2E+In+Proceedings+of+the+IEEE%2FCVF+conference+on+computer+vision+and+patter)
442. Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, and Yoav Artzi. 2020b. Bertscore: Evaluating text generation with bert. In International Conference on Learning Representations. [find](https://scholar.google.com/scholar?q=Tianyi+Zhang%2C+Varsha+Kishore%2C+Felix+Wu%2C+Kilian+Q%2E+Weinberger%2C+and+Yoav+Artzi%2E+2020b%2E+Bertscore%3A+Evaluating+text+generation+with+bert%2E+In+International+Conference+on+Learning+Representations%2E)
443. Wei Zhang, Yue Ying, Pan Lu, and Hongyuan Zha. 2020c. Learning long-and short-term user literal-preference with multimodal hierarchical transformer network for personalized image caption. In Proceedings of the AAAI Conference on Artificial Intelligence, volume 34, pages 9571–9578. [find](https://scholar.google.com/scholar?q=Wei+Zhang%2C+Yue+Ying%2C+Pan+Lu%2C+and+Hongyuan+Zha%2E+2020c%2E+Learning+long%2Dand+short%2Dterm+user+literal%2Dpreference+with+multimodal+hierarchical+transformer+network+for+personalized+image+caption%2E+In+Proceedin)
444. Weixia Zhang, Guangtao Zhai, Ying Wei, Xiaokang Yang, and Kede Ma. 2023c. Blind image quality assessment via vision-language correspondence: A multitask learning perspective. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 14071–14081. [find](https://scholar.google.com/scholar?q=Weixia+Zhang%2C+Guangtao+Zhai%2C+Ying+Wei%2C+Xiaokang+Yang%2C+and+Kede+Ma%2E+2023c%2E+Blind+image+quality+assessment+via+vision%2Dlanguage+correspondence%3A+A+multitask+learning+perspective%2E+In+Proceedings+of+the+IEE)
445. Xujie Zhang, Ente Lin, Xiu Li, Yuxuan Luo, Michael Kampffmeyer, Xin Dong, and Xiaodan Liang. 2024e. Mmtryon: Multi-modal multi-reference control for high-quality fashion generation. arXiv preprint arXiv:2405.00448. — [arXiv:2405.00448](https://arxiv.org/abs/2405.00448) [find](https://scholar.google.com/scholar?q=Xujie+Zhang%2C+Ente+Lin%2C+Xiu+Li%2C+Yuxuan+Luo%2C+Michael+Kampffmeyer%2C+Xin+Dong%2C+and+Xiaodan+Liang%2E+2024e%2E+Mmtryon%3A+Multi%2Dmodal+multi%2Dreference+control+for+high%2Dquality+fashion+generation%2E+arXiv+preprint+arX)
446. Yuxuan Zhang, Yiren Song, Jiaming Liu, Rui Wang, Jinpeng Yu, Hao Tang, Huaxia Li, Xu Tang, Yao Hu, Han Pan, et al. 2024k. Ssr-encoder: Encoding selective subject representation for subject-driven generation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages… [find](https://scholar.google.com/scholar?q=Yuxuan+Zhang%2C+Yiren+Song%2C+Jiaming+Liu%2C+Rui+Wang%2C+Jinpeng+Yu%2C+Hao+Tang%2C+Huaxia+Li%2C+Xu+Tang%2C+Yao+Hu%2C+Han+Pan%2C+et+al%2E+2024k%2E+Ssr%2Dencoder%3A+Encoding+selective+subject+representation+for+subject%2Ddriven+gene)
447. Zhehao Zhang, Ryan A Rossi, Branislav Kveton, Yijia Shao, Diyi Yang, Hamed Zamani, Franck Dernoncourt, Joe Barrow, Tong Yu, Sungchul Kim, et al. 2024l. Personalization of [large language models: A survey](https://md.research.elamur.ai/free/en/papers/minaee-2024-large-language-models-survey/). arXiv preprint arXiv:2411.00027.
448. Zhimeng Zhang, Lincheng Li, Yu Ding, and Changjie Fan. 2021b. Flow-guided one-shot talking face generation with a high-resolution audio-visual dataset. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 3661– 3670. [find](https://scholar.google.com/scholar?q=Zhimeng+Zhang%2C+Lincheng+Li%2C+Yu+Ding%2C+and+Changjie+Fan%2E+2021b%2E+Flow%2Dguided+one%2Dshot+talking+face+generation+with+a+high%2Dresolution+audio%2Dvisual+dataset%2E+In+Proceedings+of+the+IEEE%2FCVF+Conference+on+Com)
449. Ziqiang Zhang, Long Zhou, Chengyi Wang, Sanyuan Chen, Yu Wu, Shujie Liu, Zhuo Chen, Yanqing Liu, Huaming Wang, Jinyu Li, et al. 2023d. Speak foreign languages with your own voice: Cross-lingual neural codec language modeling. arXiv preprint arXiv:2303.03926. — [arXiv:2303.03926](https://arxiv.org/abs/2303.03926) [find](https://scholar.google.com/scholar?q=Ziqiang+Zhang%2C+Long+Zhou%2C+Chengyi+Wang%2C+Sanyuan+Chen%2C+Yu+Wu%2C+Shujie+Liu%2C+Zhuo+Chen%2C+Yanqing+Liu%2C+Huaming+Wang%2C+Jinyu+Li%2C+et+al%2E+2023d%2E+Speak+foreign+languages+with+your+own+voice%3A+Cross%2Dlingual+neural)
450. Haoyu Zhao, Tianyi Lu, Jiaxi Gu, Xing Zhang, Qingping Zheng, Zuxuan Wu, Hang Xu, and Yu-Gang Jiang. 2025. Magdiff: Multi-alignment diffusion for high-fidelity video generation and editing. In European Conference on Computer Vision, pages 205–221. Springer. [find](https://scholar.google.com/scholar?q=Haoyu+Zhao%2C+Tianyi+Lu%2C+Jiaxi+Gu%2C+Xing+Zhang%2C+Qingping+Zheng%2C+Zuxuan+Wu%2C+Hang+Xu%2C+and+Yu%2DGang+Jiang%2E+2025%2E+Magdiff%3A+Multi%2Dalignment+diffusion+for+high%2Dfidelity+video+generation+and+editing%2E+In+European)
451. Xulu Zhang, Xiao-Yong Wei, Jinlin Wu, Tianyi Zhang, Zhaoxiang Zhang, Zhen Lei, and Qing Li. 2024f. Compositional inversion for stable diffusion models. In Proceedings of the AAAI Conference on Artificial Intelligence, volume 38, pages 7350–7358. [find](https://scholar.google.com/scholar?q=Xulu+Zhang%2C+Xiao%2DYong+Wei%2C+Jinlin+Wu%2C+Tianyi+Zhang%2C+Zhaoxiang+Zhang%2C+Zhen+Lei%2C+and+Qing+Li%2E+2024f%2E+Compositional+inversion+for+stable+diffusion+models%2E+In+Proceedings+of+the+AAAI+Conference+on+Artific)
452. Jian Zhao, Jianshu Li, Yu Cheng, Terence Sim, Shuicheng Yan, and Jiashi Feng. 2018. Understanding humans in crowded scenes: Deep nested adversarial learning and a new benchmark for multi-human parsing. In Proceedings of the 26th ACM international conference on Multimedia, pages 792–800. [find](https://scholar.google.com/scholar?q=Jian+Zhao%2C+Jianshu+Li%2C+Yu+Cheng%2C+Terence+Sim%2C+Shuicheng+Yan%2C+and+Jiashi+Feng%2E+2018%2E+Understanding+humans+in+crowded+scenes%3A+Deep+nested+adversarial+learning+and+a+new+benchmark+for+multi%2Dhuman+parsing)
453. Xulu Zhang, Xiao-Yong Wei, Wengyu Zhang, Jinlin Wu, Zhaoxiang Zhang, Zhen Lei, and Qing Li. 2024g. A survey on personalized content synthesis with diffusion models. arXiv preprint arXiv:2405.05538. — [arXiv:2405.05538](https://arxiv.org/abs/2405.05538) [find](https://scholar.google.com/scholar?q=Xulu+Zhang%2C+Xiao%2DYong+Wei%2C+Wengyu+Zhang%2C+Jinlin+Wu%2C+Zhaoxiang+Zhang%2C+Zhen+Lei%2C+and+Qing+Li%2E+2024g%2E+A+survey+on+personalized+content+synthesis+with+diffusion+models%2E+arXiv+preprint+arXiv%3A2405%2E05538%2E+%E2%80%94+)
454. Jun Zheng, Fuwei Zhao, Youjiang Xu, Xin Dong, and Xiaodan Liang. 2024a. Viton-dit: Learning in-the-wild video try-on from human dance videos via diffusion transformers. arXiv preprint arXiv:2405.18326. — [arXiv:2405.18326](https://arxiv.org/abs/2405.18326) [find](https://scholar.google.com/scholar?q=Jun+Zheng%2C+Fuwei+Zhao%2C+Youjiang+Xu%2C+Xin+Dong%2C+and+Xiaodan+Liang%2E+2024a%2E+Viton%2Ddit%3A+Learning+in%2Dthe%2Dwild+video+try%2Don+from+human+dance+videos+via+diffusion+transformers%2E+arXiv+preprint+arXiv%3A2405%2E18326)
455. Yicheng Zhang, Zhen Qin, Zhaomin Wu, Jian Hou, and Shuiguang Deng. 2024h. Personalized federated fine-tuning for llms via data-driven heterogeneous model architectures. arXiv preprint arXiv:2411.19128. — [arXiv:2411.19128](https://arxiv.org/abs/2411.19128) [find](https://scholar.google.com/scholar?q=Yicheng+Zhang%2C+Zhen+Qin%2C+Zhaomin+Wu%2C+Jian+Hou%2C+and+Shuiguang+Deng%2E+2024h%2E+Personalized+federated+fine%2Dtuning+for+llms+via+data%2Ddriven+heterogeneous+model+architectures%2E+arXiv+preprint+arXiv%3A2411%2E19128)
456. Longtao Zheng, Yifan Zhang, Hanzhong Guo, Jiachun Pan, Zhenxiong Tan, Jiahao Lu, Chuanxin Tang, Bo An, and Shuicheng Yan. 2024b. Memo: Memory-guided diffusion for expressive talking video generation. arXiv preprint arXiv:2412.04448. — [arXiv:2412.04448](https://arxiv.org/abs/2412.04448) [find](https://scholar.google.com/scholar?q=Longtao+Zheng%2C+Yifan+Zhang%2C+Hanzhong+Guo%2C+Jiachun+Pan%2C+Zhenxiong+Tan%2C+Jiahao+Lu%2C+Chuanxin+Tang%2C+Bo+An%2C+and+Shuicheng+Yan%2E+2024b%2E+Memo%3A+Memory%2Dguided+diffusion+for+expressive+talking+video+generation%2E+)
457. Yiming Zhang, Zhening Xing, Yanhong Zeng, Youqing Fang, and Kai Chen. 2024i. Pia: Your personalized image animator via plug-and-play modules in text-to-image models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 7747–7756. [find](https://scholar.google.com/scholar?q=Yiming+Zhang%2C+Zhening+Xing%2C+Yanhong+Zeng%2C+Youqing+Fang%2C+and+Kai+Chen%2E+2024i%2E+Pia%3A+Your+personalized+image+animator+via+plug%2Dand%2Dplay+modules+in+text%2Dto%2Dimage+models%2E+In+Proceedings+of+the+IEEE%2FCVF+Con)
458. Yu Zhang, Jingwei Sun, Li Feng, Cen Yao, Mingming Fan, Liuxin Zhang, Qianying Wang, Xin Geng, and Yong Rui. 2024j. See widely, think wisely: Toward designing a generative multi-agent system to burst filter bubbles. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems, page… [find](https://scholar.google.com/scholar?q=Yu+Zhang%2C+Jingwei+Sun%2C+Li+Feng%2C+Cen+Yao%2C+Mingming+Fan%2C+Liuxin+Zhang%2C+Qianying+Wang%2C+Xin+Geng%2C+and+Yong+Rui%2E+2024j%2E+See+widely%2C+think+wisely%3A+Toward+designing+a+generative+multi%2Dagent+system+to+burst+f)
459. Yinglin Zheng, Hao Yang, Ting Zhang, Jianmin Bao, Dongdong Chen, Yangyu Huang, Lu Yuan, Dong Chen, Ming Zeng, and Fang Wen. 2022. General facial representation learning in a visual-linguistic manner. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 18697–18… [find](https://scholar.google.com/scholar?q=Yinglin+Zheng%2C+Hao+Yang%2C+Ting+Zhang%2C+Jianmin+Bao%2C+Dongdong+Chen%2C+Yangyu+Huang%2C+Lu+Yuan%2C+Dong+Chen%2C+Ming+Zeng%2C+and+Fang+Wen%2E+2022%2E+General+facial+representation+learning+in+a+visual%2Dlinguistic+manner%2E+)
460. Yinhe Zheng, Rongsheng Zhang, Minlie Huang, and Xiaoxi Mao. 2020. A pre-training based personalized dialogue generation model with persona-sparse data. Proceedings of the AAAI Conference on Artificial Intelligence, 34(05):9693–9700. [find](https://scholar.google.com/scholar?q=Yinhe+Zheng%2C+Rongsheng+Zhang%2C+Minlie+Huang%2C+and+Xiaoxi+Mao%2E+2020%2E+A+pre%2Dtraining+based+personalized+dialogue+generation+model+with+persona%2Dsparse+data%2E+Proceedings+of+the+AAAI+Conference+on+Artificial)
461. Xiaojing Zhong, Zhonghua Wu, Taizhe Tan, Guosheng Lin, and Qingyao Wu. 2021. Mv-ton: Memory-based video virtual try-on network. In Proceedings of the 29th ACM International Conference on Multimedia, pages 908–916. [find](https://scholar.google.com/scholar?q=Xiaojing+Zhong%2C+Zhonghua+Wu%2C+Taizhe+Tan%2C+Guosheng+Lin%2C+and+Qingyao+Wu%2E+2021%2E+Mv%2Dton%3A+Memory%2Dbased+video+virtual+try%2Don+network%2E+In+Proceedings+of+the+29th+ACM+International+Conference+on+Multimedia%2C+p)
462. Yong Zhong, Min Zhao, Zebin You, Xiaofeng Yu, Changwang Zhang, and Chongxuan Li. 2025. Posecrafter: One-shot personalized video synthesis following flexible pose control. In European Conference on Computer Vision, pages 243–260. Springer. [find](https://scholar.google.com/scholar?q=Yong+Zhong%2C+Min+Zhao%2C+Zebin+You%2C+Xiaofeng+Yu%2C+Changwang+Zhang%2C+and+Chongxuan+Li%2E+2025%2E+Posecrafter%3A+One%2Dshot+personalized+video+synthesis+following+flexible+pose+control%2E+In+European+Conference+on+Com)
463. Chunting Zhou, Lili Yu, Arun Babu, Kushal Tirumala, Michihiro Yasunaga, Leonid Shamis, Jacob Kahn, Xuezhe Ma, Luke Zettlemoyer, and Omer Levy. 2025a. [Transfusion: Predict the next token and diffuse images with one multi-modal model](https://md.research.elamur.ai/free/en/papers/zhou-2024-transfusion-predict-next-token-diffuse/). In The Thirteenth International Conference on Learning Representati…
464. Dingfu Zhou, Jin Fang, Xibin Song, Chenye Guan, Junbo Yin, Yuchao Dai, and Ruigang Yang. 2019. Iou loss for 2d/3d object detection. In 2019 international conference on 3D vision (3DV), pages 85–94. IEEE. [find](https://scholar.google.com/scholar?q=Dingfu+Zhou%2C+Jin+Fang%2C+Xibin+Song%2C+Chenye+Guan%2C+Junbo+Yin%2C+Yuchao+Dai%2C+and+Ruigang+Yang%2E+2019%2E+Iou+loss+for+2d%2F3d+object+detection%2E+In+2019+international+conference+on+3D+vision+%283DV%29%2C+pages+85%E2%80%9394%2E+IE)
465. Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, and Tong Sun. 2024. Customization assistant for text-to-image generation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 9182–9191. [find](https://scholar.google.com/scholar?q=Yufan+Zhou%2C+Ruiyi+Zhang%2C+Jiuxiang+Gu%2C+and+Tong+Sun%2E+2024%2E+Customization+assistant+for+text%2Dto%2Dimage+generation%2E+In+Proceedings+of+the+IEEE%2FCVF+Conference+on+Computer+Vision+and+Pattern+Recognition%2C+pa)
466. Yufan Zhou, Ruiyi Zhang, Tong Sun, and Jinhui Xu. 2023. Enhancing detail preservation for customized text-to-image generation: A regularization-free approach. arXiv preprint arXiv:2305.13579. [find](https://scholar.google.com/scholar?q=Yufan+Zhou%2C+Ruiyi+Zhang%2C+Tong+Sun%2C+and+Jinhui+Xu%2E+2023%2E+Enhancing+detail+preservation+for+customized+text%2Dto%2Dimage+generation%3A+A+regularization%2Dfree+approach%2E+arXiv+preprint+arXiv%3A2305%2E13579%2E)
467. Zhenglin Zhou, Fan Ma, Hehe Fan, and Tat-Seng Chua. 2025b. Zero-1-to-a: Zero-shot one image to animatable head avatars using video diffusion. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. [find](https://scholar.google.com/scholar?q=Zhenglin+Zhou%2C+Fan+Ma%2C+Hehe+Fan%2C+and+Tat%2DSeng+Chua%2E+2025b%2E+Zero%2D1%2Dto%2Da%3A+Zero%2Dshot+one+image+to+animatable+head+avatars+using+video+diffusion%2E+In+Proceedings+of+the+IEEE%2FCVF+Conference+on+Computer+Visi)
468. Chenyang Zhu, Kai Li, Yue Ma, Chunming He, and Li Xiu. 2024. Multibooth: Towards generating all your concepts in an image from text. arXiv preprint arXiv:2404.14239. — [arXiv:2404.14239](https://arxiv.org/abs/2404.14239) [find](https://scholar.google.com/scholar?q=Chenyang+Zhu%2C+Kai+Li%2C+Yue+Ma%2C+Chunming+He%2C+and+Li+Xiu%2E+2024%2E+Multibooth%3A+Towards+generating+all+your+concepts+in+an+image+from+text%2E+arXiv+preprint+arXiv%3A2404%2E14239%2E+%E2%80%94+%5BarXiv%3A2404%2E14239%5D%28https%3A%2F%2Farxiv)
469. Luyang Zhu, Dawei Yang, Tyler Zhu, Fitsum Reda, William Chan, Chitwan Saharia, Mohammad Norouzi, and Ira Kemelmacher-Shlizerman. 2023a. Tryondiffusion: A tale of two unets. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 4606–4615. [find](https://scholar.google.com/scholar?q=Luyang+Zhu%2C+Dawei+Yang%2C+Tyler+Zhu%2C+Fitsum+Reda%2C+William+Chan%2C+Chitwan+Saharia%2C+Mohammad+Norouzi%2C+and+Ira+Kemelmacher%2DShlizerman%2E+2023a%2E+Tryondiffusion%3A+A+tale+of+two+unets%2E+In+Proceedings+of+the+IEEE%2F)
470. Luyao Zhu, Wei Li, Rui Mao, Vlad Pandelea, and Erik Cambria. 2023b. PAED: Zero-shot persona attribute extraction in dialogues. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 9771– 9787, Toronto, Canada. Association for Comput… [find](https://scholar.google.com/scholar?q=Luyao+Zhu%2C+Wei+Li%2C+Rui+Mao%2C+Vlad+Pandelea%2C+and+Erik+Cambria%2E+2023b%2E+PAED%3A+Zero%2Dshot+persona+attribute+extraction+in+dialogues%2E+In+Proceedings+of+the+61st+Annual+Meeting+of+the+Association+for+Computat)
471. Yizhe Zhua, Chunhui Zhanga, Qiong Liub, and Xi Zhoub. 2023. Audio-driven talking head video generation with diffusion model. In ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 1–5. IEEE. [find](https://scholar.google.com/scholar?q=Yizhe+Zhua%2C+Chunhui+Zhanga%2C+Qiong+Liub%2C+and+Xi+Zhoub%2E+2023%2E+Audio%2Ddriven+talking+head+video+generation+with+diffusion+model%2E+In+ICASSP+2023%2D2023+IEEE+International+Conference+on+Acoustics%2C+Speech+and+)
472. Yuchen Zhuang, Haotian Sun, Yue Yu, Rushi Qiang, Qifan Wang, Chao Zhang, and Bo Dai. 2024. HYDRA: Model factorization framework for black-box LLM personalization. In The Thirty-eighth Annual Conference on Neural Information Processing Systems. [find](https://scholar.google.com/scholar?q=Yuchen+Zhuang%2C+Haotian+Sun%2C+Yue+Yu%2C+Rushi+Qiang%2C+Qifan+Wang%2C+Chao+Zhang%2C+and+Bo+Dai%2E+2024%2E+HYDRA%3A+Model+factorization+framework+for+black%2Dbox+LLM+personalization%2E+In+The+Thirty%2Deighth+Annual+Conferenc)

*Updated 2 November 2026*