3d anomaly detection

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection CVPR 2026 CASL: Curvature-Augmented Self-supervised Learning for 3D Anomaly Detection AAAI 2026 Bridging 3D Anomaly Localization and Repair via High-Quality Continuous Geometric Representation ICCV 2025 Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection AAAI 2025 MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection IJCAI 2025 Revisiting Multimodal Fusion for 3D Anomaly Detection from an Architectural Perspective AAAI 2025 SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark ICCV 2025 Template3D-AD: Point Cloud Template Matching Method Based on Center Points for 3D Anomaly Detection IJCAI 2025 Towards Zero-Shot 3D Anomaly Localization WACV 2025 Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation WACV 2024 PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection NeurIPS 2024 Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network CVPR 2024 Real3D-AD: A Dataset of Point Cloud Anomaly Detection NeurIPS 2023 Shape-Guided Dual-Memory Learning for 3D Anomaly Detection ICML 2023