AI RESEARCH

MoPO: Incorporating Motion Prior for Occluded Human Mesh Recovery

arXiv CS.AI

ArXi:2605.09856v1 Announce Type: cross Although recent studies have made remarkable progress in human mesh recovery, they still exhibit limited robustness to occlusions and often produce inaccurate poses and severe motion jitter due to the insufficient spatial features for occluded body parts. Inspired by the rapid advancements in human motion prediction, we discover that compared to occluded image features, pose sequence inherently contains reliable motion prior for estimating occluded body parts. In this paper, we incorporate Motion Prior for Occluded human mesh recovery, called MoPO.