MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model

Mingyuan Zhang¹* Zhongang Cai^1,2* Liang Pan¹ Fangzhou Hong¹ Xinying Guo¹ Lei Yang² Ziwei Liu¹⁺

¹S-Lab, Nanyang Technological University ²SenseTime Research

*equal contribution ⁺corresponding author

play the guitar	walk sadly	walk happily	check time

This repository contains the official implementation of MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model.

[Project Page] • [arXiv] • [Video] • [Colab Demo] • [Hugging Face Demo]

Updates

[10/2022] Add a 🤗Hugging Face Demo for text-driven motion generation!

[10/2022] Add a Colab Demo for text-driven motion generation!

[10/2022] Code release for text-driven motion generation!

[8/2022] Paper uploaded to arXiv.

Text-driven Motion Generation

You may refer to this file for detailed introduction.

Citation

If you find our work useful for your research, please consider citing the paper:

@article{zhang2022motiondiffuse,
  title={MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model},
  author={Zhang, Mingyuan and Cai, Zhongang and Pan, Liang and Hong, Fangzhou and Guo, Xinying and Yang, Lei and Liu, Ziwei},
  journal={arXiv preprint arXiv:2208.15001},
  year={2022}
}

Acknowledgements