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MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model

Human motion modeling is important for many modern graphics applications, which typically require professional skills. In order to remove the skill barriers for laymen, recent motion generation methods can directly generate human motions conditioned on natural language.

Data and Resources

Cite this as

Mingyuan Zhang, Zhongang Cai, Liang Pan, Fangzhou Hong, Xinying Guo, Lei Yang, Ziwei Liu (2024). Dataset: MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model. https://doi.org/10.57702/osnpy5o3

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2208.15001
Author Mingyuan Zhang
More Authors
Zhongang Cai
Liang Pan
Fangzhou Hong
Xinying Guo
Lei Yang
Ziwei Liu
Homepage https://mingyuan-zhang.github.io/projects/MotionDiffuse.html