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arXiv Project Page

MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation

Nhat M. Hoang1,2*  Gong Kehong2+Chuan Guo2*  Michael Bi Mi2
1Nanyang Technological University  2Huawei Technologies Co., Ltd 
*Work done while interning at Huawei +Corresponding author

This repository contains the official implementation of MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation.
Please refer to our project page for more visualizations.

Updates

[02/2024] Release training and inference code for the model MDM (text-to-motion, action-to-motion), MotionDiffuse (text-to-motion), and EDGE (music-to-dance).

[01/2024] Paper uploaded to arXiv.

[12/2023] Paper accepted at AAAI-24 Main Track! 🎉

Development

This is a research implementation and, in general, will not be regularly updated or maintained long after release.

Citation

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

@misc{hoang2024motionmix,
  title={MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation}, 
  author={Nhat M. Hoang and Kehong Gong and Chuan Guo and Michael Bi Mi},
  year={2024},
  eprint={2401.11115},
  archivePrefix={arXiv},
  primaryClass={cs.CV}
}

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[AAAI 2024] MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation

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