Fix arXiv ID and improve model card

#3
by nielsr HF Staff - opened
Files changed (1) hide show
  1. README.md +9 -10
README.md CHANGED
@@ -1,21 +1,20 @@
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  ---
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- license: apache-2.0
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  language: en
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  library_name: pytorch
 
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  pipeline_tag: text-to-video
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  tags:
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- - video generation
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- - personalized-generation
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- - text-to-video
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- - diffusion
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- downloads: true
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  ---
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  # LumosX: Relate Any Identities with Their Attributes for Personalized Video Generation
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  > Recent advances in diffusion models have significantly improved text-to-video generation, enabling personalized content creation with fine-grained control over both foreground and background elements. However, precise face-attribute alignment across subjects remains challenging, as existing methods lack explicit mechanisms to ensure intra-group consistency. We propose **LumosX**, a framework that advances both data and model design to achieve state-of-the-art performance in fine-grained, identity-consistent, and semantically aligned personalized multi-subject video generation.
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- [![arXiv](https://img.shields.io/badge/arXiv-46f333f179-b31b1b.svg)](https://arxiv.org/abs/46f333f179)
 
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  [![OpenReview](https://img.shields.io/badge/OpenReview-paper-blue)](https://openreview.net/forum?id=r5o6PWgzav)
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  [![GitHub](https://img.shields.io/badge/GitHub-Code-blue)](https://github.com/alibaba-damo-academy/Lumos-Custom/tree/main/LumosX)
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  [![Project Page](https://img.shields.io/badge/Project-Page-purple)](https://jiazheng-xing.github.io/lumosx-home/)
@@ -63,11 +62,11 @@ If you find this work useful, please cite:
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  @inproceedings{xinglumosx,
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  title={LumosX: Relate Any Identities with Their Attributes for Personalized Video Generation},
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  author={Xing, Jiazheng and Du, Fei and Yuan, Hangjie and Liu, Pengwei and Xu, Hongbin and Ci, Hai and Niu, Ruigang and Chen, Weihua and Wang, Fan and Liu, Yong},
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- booktitle={The Fourteenth International Conference on Learning Representations}
 
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  }
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  ```
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  ## 📣 Disclaimer
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- This is the official release channel for LumosX weights.
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-
 
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  ---
 
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  language: en
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  library_name: pytorch
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+ license: apache-2.0
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  pipeline_tag: text-to-video
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  tags:
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+ - video-generation
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+ - personalized-generation
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+ - diffusion
 
 
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  ---
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  # LumosX: Relate Any Identities with Their Attributes for Personalized Video Generation
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  > Recent advances in diffusion models have significantly improved text-to-video generation, enabling personalized content creation with fine-grained control over both foreground and background elements. However, precise face-attribute alignment across subjects remains challenging, as existing methods lack explicit mechanisms to ensure intra-group consistency. We propose **LumosX**, a framework that advances both data and model design to achieve state-of-the-art performance in fine-grained, identity-consistent, and semantically aligned personalized multi-subject video generation.
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+ [![arXiv](https://img.shields.io/badge/arXiv-2603.20192-b31b1b.svg)](https://arxiv.org/abs/2603.20192)
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+ [![Hugging Face Paper](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Paper-yellow)](https://huggingface.co/papers/2603.20192)
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  [![OpenReview](https://img.shields.io/badge/OpenReview-paper-blue)](https://openreview.net/forum?id=r5o6PWgzav)
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  [![GitHub](https://img.shields.io/badge/GitHub-Code-blue)](https://github.com/alibaba-damo-academy/Lumos-Custom/tree/main/LumosX)
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  [![Project Page](https://img.shields.io/badge/Project-Page-purple)](https://jiazheng-xing.github.io/lumosx-home/)
 
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  @inproceedings{xinglumosx,
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  title={LumosX: Relate Any Identities with Their Attributes for Personalized Video Generation},
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  author={Xing, Jiazheng and Du, Fei and Yuan, Hangjie and Liu, Pengwei and Xu, Hongbin and Ci, Hai and Niu, Ruigang and Chen, Weihua and Wang, Fan and Liu, Yong},
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+ booktitle={The Fourteenth International Conference on Learning Representations},
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+ year={2026}
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  }
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  ```
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  ## 📣 Disclaimer
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+ This is the official release channel for LumosX weights.