SOTAVerified

3D Anomaly Detection

3D-only Anomaly Detection. Structures out of normal distribution are detected from the 3D-only point cloud.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–25 of 36 papers

TitleStatusHype
Towards High-Resolution 3D Anomaly Detection: A Scalable Dataset and Real-Time Framework for Subtle Industrial DefectsCode2
Taming Anomalies with Down-Up Sampling Networks: Group Center Preserving Reconstruction for 3D Anomaly Detection—0
SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark—0
Bridging 3D Anomaly Localization and Repair via High-Quality Continuous Geometric RepresentationCode0
Mentor3AD: Feature Reconstruction-based 3D Anomaly Detection via Multi-modality Mentor Learning—0
Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly DetectionCode0
MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection—0
Spotting the Unexpected (STU): A 3D LiDAR Dataset for Anomaly Segmentation in Autonomous Driving—0
Robust Distribution Alignment for Industrial Anomaly Detection under Distribution Shift—0
Fence Theorem: Preprocessing is Dual-Objective Semantic Structure Isolator in 3D Anomaly Detection—0
Boosting Global-Local Feature Matching via Anomaly Synthesis for Multi-Class Point Cloud Anomaly DetectionCode2
Exploiting Point-Language Models with Dual-Prompts for 3D Anomaly Detection—0
Revisiting Multimodal Fusion for 3D Anomaly Detection from an Architectural PerspectiveCode0
Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly DetectionCode1
PO3AD: Predicting Point Offsets toward Better 3D Point Cloud Anomaly Detection—0
Towards Zero-shot 3D Anomaly Localization—0
SplatPose+: Real-time Image-Based Pose-Agnostic 3D Anomaly DetectionCode0
DAS3D: Dual-modality Anomaly Synthesis for 3D Anomaly Detection—0
PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly DetectionCode2
Uni-3DAD: GAN-Inversion Aided Universal 3D Anomaly Detection on Model-free Products—0
Towards High-resolution 3D Anomaly Detection via Group-Level Feature Contrastive LearningCode0
R3D-AD: Reconstruction via Diffusion for 3D Anomaly DetectionCode1
Looking 3D: Anomaly Detection with 2D-3D AlignmentCode1
3D-CSAD: Untrained 3D Anomaly Detection for Complex Manufacturing Surfaces—0
SplatPose & Detect: Pose-Agnostic 3D Anomaly DetectionCode1
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All datasetsReal 3D-ADAnomaly-ShapeNetAnomaly-ShapeNet10

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DUS-NetMean Performance of P. and O. 0.82—Unverified
2MC4ADMean Performance of P. and O. 0.81—Unverified
3ISMPMean Performance of P. and O. 0.8—Unverified
4MC3D-ADMean Performance of P. and O. 0.78—Unverified
5PASDFMean Performance of P. and O. 0.77—Unverified
6PO3ADMean Performance of P. and O. 0.77—Unverified
7Group3ADMean Performance of P. and O. 0.74—Unverified
8PointADMean Performance of P. and O. 0.74—Unverified
9IMRNetMean Performance of P. and O. 0.73—Unverified
10GLFMMean Performance of P. and O. 0.72—Unverified
#ModelMetricClaimedVerifiedStatus
1MC4ADO-AUROC0.91—Unverified
2PASDFO-AUROC0.9—Unverified
3MC3D-ADO-AUROC0.84—Unverified
4PO3ADO-AUROC0.84—Unverified
5DUS-NetO-AUROC0.8—Unverified
6R3D-ADO-AUROC0.75—Unverified
7ISMPO-AUROC0.71—Unverified
8IMRNetO-AUROC0.66—Unverified
#ModelMetricClaimedVerifiedStatus
1MC4ADO-AUROC0.89—Unverified
2PatchCore (FPFH)O-AUROC0.88—Unverified
3BTF (FPFH)O-AUROC0.63—Unverified
4M3DMO-AUROC0.57—Unverified
5PatchCore (PointMAE)O-AUROC0.57—Unverified
6Reg3D-ADO-AUROC0.53—Unverified
7BTF (Raw)O-AUROC0.5—Unverified