Anomaly Detection on Anomaly-ShapeNet

Metric: P-AUROC (higher is better)

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#	Model↕	P-AUROC▼	Augmentations	Paper	Date↕	Code
1	MC4AD	0.91	Yes	Examining the Source of Defects from a Mechanica...	2025-05-09	Code
2	PO3AD	0.898	No	PO3AD: Predicting Point Offsets toward Better 3D...	2024-12-17	-
3	PASDF	0.897	No	Bridging 3D Anomaly Localization and Repair via ...	2025-05-30	-
4	DUS-Net	0.712	No	Taming Anomalies with Down-Up Sampling Networks:...	2025-07-05	-
5	ISMP	0.691	No	Look Inside for More: Internal Spatial Modality ...	2024-12-18	Code
6	IMRNet	0.65	Yes	Towards Scalable 3D Anomaly Detection and Locali...	2023-11-25	Code

#1MC4ADSOTA
0.91
P-AUROC· Augmentations· 2025-05-09
Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection Code
#2PO3ADSOTA
0.898
P-AUROC· 2024-12-17
PO3AD: Predicting Point Offsets toward Better 3D Point Cloud Anomaly Detection
#3PASDF
0.897
P-AUROC· 2025-05-30
Bridging 3D Anomaly Localization and Repair via High-Quality Continuous Geometric Representation
#4DUS-Net
0.712
P-AUROC· 2025-07-05
Taming Anomalies with Down-Up Sampling Networks: Group Center Preserving Reconstruction for 3D Anomaly Detection
#5ISMP
0.691
P-AUROC· 2024-12-18
Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection Code
#6IMRNetSOTA
0.65
P-AUROC· Augmentations· 2023-11-25
Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network Code