| Taming Anomalies with Down-Up Sampling Networks: Group Center Preserving Reconstruction for 3D Anomaly Detection | | 0.821 | 0.847 | 0.795 | DUS-Net | 2025-07-05 |
| Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection | ✓ Link | 0.8115 | 0.837 | 0.786 | MC4AD | 2025-05-09 |
| Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection | ✓ Link | 0.7965 | 0.836 | 0.757 | ISMP | 2024-12-18 |
| MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection | | 0.775 | 0.768 | 0.782 | MC3D-AD | 2025-05-04 |
| Bridging 3D Anomaly Localization and Repair via High-Quality Continuous Geometric Representation | | 0.7735 | 0.745 | 0.802 | PASDF | 2025-05-30 |
| PO3AD: Predicting Point Offsets toward Better 3D Point Cloud Anomaly Detection | | 0.765 | | 0.765 | PO3AD | 2024-12-17 |
| Towards High-resolution 3D Anomaly Detection via Group-Level Feature Contrastive Learning | | 0.743 | 0.735 | 0.751 | Group3AD | 2024-08-08 |
| PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection | ✓ Link | 0.7375 | 0.716 | 0.759 | PointAD | 2024-10-01 |
| Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network | ✓ Link | 0.725 | | 0.725 | IMRNet | 2023-11-25 |
| Boosting Global-Local Feature Matching via Anomaly Synthesis for Multi-Class Point Cloud Anomaly Detection | ✓ Link | 0.715 | 0.898 | 0.532 | GLFM | 2025-02-21 |
| Real3D-AD: A Dataset of Point Cloud Anomaly Detection | ✓ Link | 0.702 | 0.700 | 0.704 | Reg3D-AD | 2023-09-23 |
| Towards Total Recall in Industrial Anomaly Detection | ✓ Link | 0.687 | 0.692 | 0.682 | PatchCore (FPFH+Raw) | 2021-06-15 |
| Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection | ✓ Link | 0.6785 | 0.722 | 0.635 | BTF (Raw) | 2022-03-10 |
| R3D-AD: Reconstruction via Diffusion for 3D Anomaly Detection | ✓ Link | 0.663 | 0.592 | 0.734 | R3D-AD | 2024-07-15 |
| Towards Total Recall in Industrial Anomaly Detection | ✓ Link | 0.614 | 0.634 | 0.594 | PatchCore (PointMAE) | 2021-06-15 |
| Multimodal Industrial Anomaly Detection via Hybrid Fusion | ✓ Link | 0.5945 | 0.637 | 0.552 | M3DM (PointMAE) | 2023-03-01 |
| Towards Total Recall in Industrial Anomaly Detection | ✓ Link | 0.5925 | 0.592 | 0.593 | PatchCore (FPFH) | 2021-06-15 |
| Multimodal Industrial Anomaly Detection via Hybrid Fusion | ✓ Link | 0.587 | 0.636 | 0.538 | M3DM (PointBERT) | 2023-03-01 |
| Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection | ✓ Link | 0.5845 | 0.566 | 0.603 | BTF (FPFH) | 2022-03-10 |
| Anomaly Factory 3D: A Modular Framework for Diverse Pseudo-Anomaly Synthesis in Unsupervised 3D Anomaly Detection | ✓ Link | | 0.861 | 0.852 | PO3AD + AF3AD | 2026-06-28 |