Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching

arXiv:2303.10971v2 Announce Type: replace-cross Abstract: The matching of 3D shapes has been extensively studied for shapes represented as surface meshes, as well as for shapes represented as point clouds. While point clouds are a common representation of raw real-world 3D data (e.g. from laser...