MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model. (arXiv:2208.15001v1 [cs.CV])

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 languages. However, it remains challenging
to achieve diverse and fine-grained motion generation with various text inputs.
To address this problem, we propose MotionDiffuse, the first diffusion
model-based text-driven motion generation framework, which demonstrates several
desired properties over existing methods. 1) Probabilistic Mapping. Instead of …

arxiv diffusion diffusion model generation human text