conftrace_

3d anomaly detection

13 papers

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Also known as

3D-AD

Co-occurring keywords

point cloud (1480) anomaly detection (747) 3d vision (1098) anomaly localization (37) 3d point cloud (179) zero-shot learning (3650) registration-based detection (1) curvature-augmented learning (1) self-supervised point cloud (1) reconstruction paradigm (1)

Papers

CASL: Curvature-Augmented Self-supervised Learning for 3D Anomaly Detection AAAI 2026
Bridging 3D Anomaly Localization and Repair via High-Quality Continuous Geometric Representation ICCV 2025
SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark ICCV 2025
Towards Zero-Shot 3D Anomaly Localization WACV 2025
Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection AAAI 2025
Revisiting Multimodal Fusion for 3D Anomaly Detection from an Architectural Perspective AAAI 2025
MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection IJCAI 2025
Template3D-AD: Point Cloud Template Matching Method Based on Center Points for 3D Anomaly Detection IJCAI 2025
Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation WACV 2024
Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network CVPR 2024
PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection NIPS 2024
Shape-Guided Dual-Memory Learning for 3D Anomaly Detection ICML 2023
Real3D-AD: A Dataset of Point Cloud Anomaly Detection NIPS 2023