AI RESEARCH
SDPose: Exploiting Diffusion Priors for Out-of-Domain and Robust Pose Estimation
arXiv CS.CV
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ArXi:2509.24980v3 Announce Type: replace Pre-trained diffusion models provide rich latent features across U-Net levels and are emerging as powerful vision backbones. While prior works such as Marigold and Lotus repurpose diffusion priors for dense geometric perception tasks such as depth and surface normal estimation, their potential for cross-domain human pose estimation remains largely unexplored.