This project aims to provide a unified framework for high-fidelity character animation and image pose transfer for references with arbitrary layouts, addressing limitations in existing diffusion models regarding spatially misaligned reference-pose pairs.
Our model can adapt a single reference image to various motion patterns, demonstrating flexible motion control capabilities.
The 1.3 B model also delivers strong performance (from 1.3b_2 ckpt).
For detailed installation instructions, quick inference examples, and training scripts, please refer to the
GitHub repository.
If you find our work helpful or inspiring, please feel free to cite it.
1@article{shi2025one,
2 title={One-to-All Animation: Alignment-Free Character Animation and Image Pose Transfer},
3 author={Shi, Shijun and Xu, Jing and Li, Zhihang and Peng, Chunli and Yang, Xiaoda and Lu, Lijing and Hu, Kai and Zhang, Jiangning},
4 journal={arXiv preprint arXiv:2511.22940},
5 year={2025}
6}
