Zero-shot Point Cloud Completion Via 2D Priors

arXiv:2404.06814v1 Announce Type: new
Abstract: 3D point cloud completion is designed to recover complete shapes from partially observed point clouds. Conventional completion methods typically depend on extensive point cloud data for training %, with their effectiveness often constrained to object categories similar to those seen during training. In contrast, we propose a zero-shot framework aimed at completing partially observed point clouds across any unseen categories. Leveraging point rendering via Gaussian Splatting, we develop techniques of Point Cloud Colorization and Zero-shot …

abstract arxiv cloud cloud data contrast cs.cv data object training type via zero-shot