AI RESEARCH
DiffProxy: Multi-View Human Mesh Recovery via Diffusion-Generated Dense Proxies
arXiv CS.CV
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ArXi:2601.02267v2 Announce Type: replace Precise human mesh recovery (HMR) from multi-view images remains challenging: end-to-end methods produce entangled errors hard to localize, while fitting-based methods rely on sparse keypoints that provide limited surface constraints. We observe that the true bottleneck lies in the quality of intermediate representations, and that dense pixel-to-surface correspondences can be effectively generated by repurposing pre-trained diffusion models with rich visual priors.