GaPT-DAR: Category-level Garments Pose Tracking via Integrated 2D Deformation and 3D Reconstruction

Figure 1. Category-level Garments Pose Tracking framework with integrated 2D Deformation And 3D Reconstruction (GaPT-DAR). Given the partial point clouds from adjacent frames and pose prediction result from the previous frame, we propose a garment pose tracking pipeline consisting of 3D-2D projection, 2D deformation learning, and 2D-3D reconstruction steps. The output is the tracked pose (complete point cloud) of garments in task space.