Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection 事件

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection arXiv:2603.21511v2 Announce Type: replace Abstract: Zero-shot (ZS) 3D anomaly detection is crucial for reliable industrial inspection, as it enables detecting and localizing defects without requiring any target-category training data. Existing approaches render 3D point clouds into 2D images and leverage pre-trained Vision-Language Models (VLMs) for anomaly detection. However, such strategies inevitably discard ge