Improve model card: Add pipeline tag, library name, links, and description (#1)
Browse files- Improve model card: Add pipeline tag, library name, links, and description (69876717f2e31ed5c0a861e1bb8f8ce16f1274cb)
Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>
README.md
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license: apache-2.0
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---
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license: apache-2.0
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pipeline_tag: image-to-video
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library_name: diffusers
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---
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# One-to-All Animation: Alignment-Free Character Animation and Image Pose Transfer
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One-to-All Animation is a unified framework for high-fidelity character animation and image pose transfer for references with arbitrary layouts. It addresses limitations of prior methods by handling spatially misaligned and partially visible references through self-supervised outpainting, a comprehensive identity feature extractor, and hybrid reference fusion attention.
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- 📚 [Paper](https://huggingface.co/papers/2511.22940)
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- 🌐 [Project Page](https://ssj9596.github.io/one-to-all-animation-project/)
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- 💻 [GitHub Repository](https://github.com/ssj9596/One-to-All-Animation)
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## 🎭 Showcase - 1.3B Model Results
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<p align="center">
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<img src="https://github.com/ssj9596/One-to-All-Animation/raw/main/assets/combined_video1.gif" height="300"/> <img src="https://github.com/ssj9596/One-to-All-Animation/raw/main/assets/combined_video2.gif" height="300"/>
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</p>
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## Usage
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For detailed installation instructions, quick inference examples, and training scripts, please refer to the [GitHub repository](https://github.com/ssj9596/One-to-All-Animation).
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## Citation
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If you find our work helpful or inspiring, please feel free to cite it.
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```bibtex
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@article{zhou2024learning,
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title={One-to-All Animation: Alignment-Free Character Animation and Image Pose Transfer},
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author={Shi, Shijun and Xu, Jing and Li, Zhihang and Peng, Chunli and Yang, Xiaoda and Lu, Lijing and Hu, Kai and Zhang, Jiangning},
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journal={arXiv preprint arXiv:2511.22940},
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year={2025},
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}
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```
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