: It excels at modeling complicated data distributions, producing more vivid and varied movements than previous methods.
: It uses Denoising Diffusion Probabilistic Models (DDPM) to transform noise into realistic motion sequences based on text prompts. Key Capabilities : 220815001323 rar
The string likely refers to the arXiv identifier (specifically arXiv:2208.15001 ) for the academic paper titled "MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model" . Paper Overview: MotionDiffuse : It excels at modeling complicated data distributions,
: Includes demos and code at mingyuan-zhang.github.io/projects/MotionDiffuse.html . Text-Driven Human Motion Generation with Diffusion Model 220815001323 rar
[2208.15001] MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model. > cs > arXiv:2208.15001.
: Available on arXiv at https://arxiv.org/pdf/2208.15001 .
MotionDiffuse: Text-Driven Human Motion Generation ... - arXiv