PARE (part-aware regression for human mesh)
PARE (part-aware regression for human mesh) is a computer vision method designed to improve the accuracy of 3D human mesh reconstruction from monocular images by explicitly modeling human body parts. It integrates part-level attention mechanisms to better capture occlusions and complex poses.