Published in , this paper introduced the first diffusion-based framework for generating diverse and controllable human motions from natural language descriptions.

: It excels at modeling complicated data distributions, producing more vivid and varied movements than previous methods.

MotionDiffuse: Text-Driven Human Motion Generation ... - arXiv

[2208.15001] MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model. > cs > arXiv:2208.15001.

: Allows for body-part-level control and motion interpolation.

: Users can specify complex instructions (e.g., "a person walking while waving").

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

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