SOTAVerified

3D Anomaly Detection

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

Papers

Showing 136 of 36 papers

TitleStatusHype
Boosting Global-Local Feature Matching via Anomaly Synthesis for Multi-Class Point Cloud Anomaly DetectionCode2
Towards High-Resolution 3D Anomaly Detection: A Scalable Dataset and Real-Time Framework for Subtle Industrial DefectsCode2
PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly DetectionCode2
Towards Total Recall in Industrial Anomaly DetectionCode2
Multimodal Industrial Anomaly Detection via Hybrid FusionCode2
Looking 3D: Anomaly Detection with 2D-3D AlignmentCode1
Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly DetectionCode1
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly DetectionCode1
Towards Generic Anomaly Detection and Understanding: Large-scale Visual-linguistic Model (GPT-4V) Takes the LeadCode1
Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning NetworkCode1
Asymmetric Student-Teacher Networks for Industrial Anomaly DetectionCode1
SplatPose & Detect: Pose-Agnostic 3D Anomaly DetectionCode1
R3D-AD: Reconstruction via Diffusion for 3D Anomaly DetectionCode1
Real3D-AD: A Dataset of Point Cloud Anomaly DetectionCode1
Shape-Guided: Shape-Guided Dual-Memory Learning for 3D Anomaly DetectionCode1
Towards High-resolution 3D Anomaly Detection via Group-Level Feature Contrastive LearningCode0
Bridging 3D Anomaly Localization and Repair via High-Quality Continuous Geometric RepresentationCode0
SplatPose+: Real-time Image-Based Pose-Agnostic 3D Anomaly DetectionCode0
Revisiting Multimodal Fusion for 3D Anomaly Detection from an Architectural PerspectiveCode0
Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly DetectionCode0
Uni-3DAD: GAN-Inversion Aided Universal 3D Anomaly Detection on Model-free Products0
Anomaly Detection in 3D Point Clouds using Deep Geometric Descriptors0
DAS3D: Dual-modality Anomaly Synthesis for 3D Anomaly Detection0
EasyNet: An Easy Network for 3D Industrial Anomaly Detection0
Exploiting Point-Language Models with Dual-Prompts for 3D Anomaly Detection0
Fence Theorem: Preprocessing is Dual-Objective Semantic Structure Isolator in 3D Anomaly Detection0
MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection0
Mentor3AD: Feature Reconstruction-based 3D Anomaly Detection via Multi-modality Mentor Learning0
PO3AD: Predicting Point Offsets toward Better 3D Point Cloud Anomaly Detection0
Robust Distribution Alignment for Industrial Anomaly Detection under Distribution Shift0
SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark0
Spotting the Unexpected (STU): A 3D LiDAR Dataset for Anomaly Segmentation in Autonomous Driving0
Taming Anomalies with Down-Up Sampling Networks: Group Center Preserving Reconstruction for 3D Anomaly Detection0
Teacher-Student Network for 3D Point Cloud Anomaly Detection with Few Normal Samples0
Towards Zero-shot 3D Anomaly Localization0
3D-CSAD: Untrained 3D Anomaly Detection for Complex Manufacturing Surfaces0
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Benchmark Results

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