2022
ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes
CVPR 2022poster
Progress in 3D object understanding has relied on manually "canonicalized" shape datasets that contain instances with consistent position and orientation (3D pose). This has made it hard to generalize these methods to in-the-wild shapes, e.g., from internet model collections or depth sensors. ConDor…