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Found 2 papers, 1 papers with code
Unifying Human Motion Synthesis and Style Transfer with Denoising Diffusion Probabilistic Models
To achieve high-quality results, we design a multi-task architecture of diffusion model that strategically generates aspects of human motions for local guidance.
Denoising Diffusion Probabilistic Models for Styled Walking Synthesis
Generating realistic motions for digital humans is time-consuming for many graphics applications.
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