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

: It excels at modeling complicated data distributions, producing more vivid and varied movements than previous methods. 220815001323 rar

: It uses Denoising Diffusion Probabilistic Models (DDPM) to transform noise into realistic motion sequences based on text prompts. Key Capabilities : : Includes demos and code at mingyuan-zhang

Published in , this paper introduced the first diffusion-based framework for generating diverse and controllable human motions from natural language descriptions. 220815001323 rar