OpenCodePapers

3d-anomaly-detection-and-segmentation-on

Anomaly Detection3D Anomaly Detection and Segmentation
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PaperCodeDetection AUROCSegmentation AUROCModelNameReleaseDate
Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection✓ Link0.9540.946MC4AD2025-05-09
Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection✓ Link0.95150.9781CPMF (2D+3D)2023-03-23
Boosting Global-Local Feature Matching via Anomaly Synthesis for Multi-Class Point Cloud Anomaly Detection✓ Link0.9440.979GLFM2025-02-21
Shape-Guided: Shape-Guided Dual-Memory Learning for 3D Anomaly Detection✓ Link0.9160.978Shape-Guided (only SDF)2023-01-27
Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection✓ Link0.89180.9730CPMF (2D)2023-03-23
Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection✓ Link0.83040.9780CPMF (3D)2023-03-23
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection✓ Link0.7820.978Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection (FPFH)2022-03-10
The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization✓ Link0.699Voxel AE2021-12-16
The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization✓ Link0.571Voxel VM2021-12-16
The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization✓ Link0.537Voxel GAN2021-12-16
Anomaly Detection in 3D Point Clouds using Deep Geometric Descriptors3D-ST_1282022-02-23