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: It uses Denoising Diffusion Probabilistic Models (DDPM) to transform noise into realistic motion sequences based on text prompts. Key Capabilities :

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

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 established a new state-of-the-art for the Text-to-Motion (T2M) task, influencing many subsequent models like MLD and StableMoFusion. Accessing the Paper

: Includes demos and code at mingyuan-zhang.github.io/projects/MotionDiffuse.html . Text-Driven Human Motion Generation with Diffusion Model



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