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Realistic Human Motion Generation with Cross-Diffusion Models
(Accepted by ECCV2024)In this work, we introduce the Cross Human Motion Diffusion Model (CrossDiff), a novel approach for generating high-quality human motion based on textual descriptions. Our method integrates 3D and 2D information using a shared transformer network within the training of the diffusion model, unifying motion noise into a ...
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