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JarrentWu/AnimateAnyMesh
AnimateAnyMesh is a machine learning model from JarrentWu. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Zijie Wu<sup1,2</sup, Chaohui Yu<sup2</sup, Fan Wang<sup2</sup, Xiang Bai<sup1</sup <br <sup1</supHuazhong University of Science and Technology (HUST), <sup2</supDAMO Acadamy, Alibaba Group
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Updated Aug 24, 2025
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From the Hugging Face model README
Zijie Wu<sup>1,2</sup>, Chaohui Yu<sup>2</sup>, Fan Wang<sup>2</sup>, Xiang Bai<sup>1</sup> <br> <sup>1</sup>Huazhong University of Science and Technology (HUST), <sup>2</sup>DAMO Acadamy, Alibaba Group
<a href="https://animateanymesh.github.io/AnimateAnyMesh/"><img src='https://img.shields.io/badge/Project-AnimateAnyMesh-brightgreen?logo=github' alt='Project'></a> <a href="https://arxiv.org/abs/2506.09982"><img src='https://img.shields.io/badge/arXiv-AnimateAnyMesh-red?logo=arxiv' alt='Paper PDF'></a> <a href="https://www.youtube.com/watch?v=q8xH9B0S4y0"><img src='https://img.shields.io/badge/Video-Demo-red?logo=youtube&color=blue'></a>
We present <b>AnimateAnyMesh</b>: the first feed-forward universal mesh animation framework that enables efficient motion generation for arbitrary 3D meshes. Given a static mesh and prompt, our method generates high-quality animations in only a few seconds.
If you find our work useful for your research, please star this repo and cite our paper. Thanks!
@article{wu2025animateanymesh,
author = {Wu, Zijie and Yu, Chaohui and Wang, Fan and Bai, Xiang.},
title = {AnimateAnyMesh: A Feed-Forward 4D Foundation Model for Text-Driven Universal Mesh Animation},
journal = {arXiv preprint arxiv:2506.09982},
year = {2025},
}