We present MotionLib, the first million-level dataset for motion generation, which is at least 15× larger than existing counterparts and enriched with hierarchical text descriptions. Using MotionLib, we train a large motion model named Being-M0, demonstrating robust performance across a wide range of human activities, including unseen ones. More Visualization can be found on our [Website].
We will release our code and part of our dataset soon.
If you find our work useful, please consider citing us!
@inproceedings{wang2025scaling,
title={Scaling Motion Generation Models with Million-Level Human Motions},
author={Wang, Ye and Zheng, Sipeng and Cao, Bin and Wei, Qianshan and Zeng, Weishuai and Jin, Qin and Lu, Zongqing},
booktitle={International Conference on Machine Learning (ICML)},
year={2025}
}
