A Semantically Disentangled Unified Model for Multi-category 3D Anomaly Detection
arXiv:2603.25159v1 Announce Type: new
Abstract: 3D anomaly detection targets the detection and localization of defects in 3D point clouds trained solely on normal data. While a unified model improves scalability by learning across multiple categories,…