AI RESEARCH
ReBaR: Reference-Based Reasoning for Robust Pose Estimation from Monocular Images
arXiv CS.CV
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ArXi:2303.11675v3 Announce Type: replace R}easoning for Robust Human Pose and Shape Estimation), designed to estimate human body shape and pose from single-view images. ReBaR effectively addresses the challenges of occlusions and depth ambiguity by learning reference features for part regression reasoning. Our approach starts by extracting features from both body and part regions using an attention-guided mechanism.