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license: apache-2.0
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language:
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- en
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base_model:
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- Qwen/
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pipeline_tag:
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tags:
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- video
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<div align="center">
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<h1><b>
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</div>
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<div align="center">
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**[Cong Wei<sup>*,1,2</sup>](https://congwei1230.github.io/)  **
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**[Quande Liu<sup>โ ,2</sup>](https://liuquande.github.io/)  **
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**[Zixuan Ye<sup>2</sup>](https://openreview.net/profile?id=~Zixuan_Ye1)  **
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**[Qiulin Wang<sup>2</sup>](https://scholar.google.com/citations?user=3vvZdy8AAAAJ&hl=en)  **
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**[Xintao Wang<sup>2</sup>](https://xinntao.github.io/)**
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**[Pengfei Wan<sup>2</sup>](https://magicwpf.github.io/)  **
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**[Kun Gai<sup>2</sup>](https://openreview.net/profile?id=~Kun_Gai1)  **
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**[Wenhu Chen<sup>โ ,1</sup>](https://wenhuchen.github.io/)**
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<p>
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<sup>2</sup>Kling Team, Kuaishou Technology<br>
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<sup>*</sup>Work done during an internship at Kling Team, Kuaishou Technology
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<sup>โ </sup>Corresponding author
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</p>
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</div>
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<p align="center">
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<a href='
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<a href="
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<a href='https://huggingface.co/
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<a href="https://github.com/
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<img src="https://img.shields.io/badge/GitHub-Code-red?logo=github">
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</a>
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</p>
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## ๐News
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- [2026-01-
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- [2025-10-09]: Released [Arxiv Preprint](https://arxiv.org/abs/2510.08377) and the [Project Page](https://congwei1230.github.io/UniVideo/)
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## How to use
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- Please refer to [**๐ GitHub**](https://github.com/
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## Acknowledgement
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- [HunyuanVideo](https://github.com/Tencent-Hunyuan/HunyuanVideo): the base video generation model used in this work. Thanks to the authors for their excellent contribution.
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- [Qwen2.5-VL](https://github.com/QwenLM): the base vlm model used in this work. Thanks to the authors for their excellent contribution.
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- [MetaQueries](https://xichenpan.com/metaquery/): we adopt their query implementation. Thanks to the authors for their excellent contribution.
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## ๐ Citation
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If you find UniVideo useful for your research and applications, please cite using this BibTeX:
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```bibtex
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@
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}
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```
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---
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license: apache-2.0
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language:
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- en
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base_model:
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- Wan-AI/Wan2.1-T2V-1.3B
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- Qwen/Qwen-Image-Edit-2509
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pipeline_tag: video-to-video; image-to-image
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tags:
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- video
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- image
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- stylization
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---
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<div align="center">
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<h1><b>TeleStyle: Content-Preserving Style Transfer in Images and Videos</b></h1>
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</div>
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<div align="center">
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Shiwen Zhang, Xiaoyan Yang, Bojia Zi, Haibin Huang, Chi Zhang, Xuelong Li
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<p>
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Institute of Artificial Intelligence, China Telecom (TeleAI)
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</p>
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</div>
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<p align="center">
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<a href='todo'><img src='https://img.shields.io/badge/Project-Page-Green'></a>
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<a href="todo"><img src="https://img.shields.io/static/v1?label=Arxiv&message=UniVideo&color=red&logo=arxiv"></a>
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<a href='https://huggingface.co/Tele-AI/TeleStyle'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Model-orange'></a>
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<a href="https://github.com/Tele-AI/TeleStyle">
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<img src="https://img.shields.io/badge/GitHub-Code-red?logo=github">
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</a>
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</p>
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## ๐News
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- [2026-01-27]: Released [Code](https://github.com/Tele-AI/TeleStyle), [Model](https://huggingface.co/Tele-AI/TeleStyle) and [Technical Report](todo)
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## How to use
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- Please refer to [**๐ GitHub**](https://github.com/Tele-AI/TeleStyle) for usage.
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## ๐ Citation
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If you find UniVideo useful for your research and applications, please cite using this BibTeX:
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```bibtex
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@misc{teleai2026telestyle,
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title={TeleStyle: Content-Preserving Style Transfer in Images and Videos},
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author={Shiwen Zhang and Xiaoyan Yang and Bojia Zi and Haibin Huang and Chi Zhang and Xuelong Li},
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year={2026},
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eprint={todo},
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archivePrefix={arXiv},
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/todo},
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}
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```
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