[NeurIPS 2023] Offical code for <Real3D-AD: A Dataset of Point Cloud Anomaly Detection>. A 3D point cloud anomaly detection dataset and benchmark.
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Mar 13, 2024 - Python
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3d-anomaly-detection
Here are 5 public repositories matching this topic...
Shape-Guided Dual-Memory Learning for 3D Anomaly Detection [ICML2023]
deep-learning point-cloud icml anomaly-detection 3d-representation anomaly-localization 3d-anomaly-detection
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Oct 24, 2023 - Python
Official implementation of MAFR: 2D–3D Feature Fusion via Cross-Modal Latent Synthesis and Attention-Guided Restoration for Industrial Anomaly Detection [DICTA 2025]
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Jan 20, 2026 - Python
Independent Re-Implementation of FIND: Few-Shot Anomaly Inspection with Normal-Only Multi-Modal Data (ICCV 2025)
computer-vision pytorch reimplementation knowledge-distillation anomaly-detection surface-normals multimodal few-shot-learning 3d-anomaly-detection mvtec-3d-ad iccv2025 anomaly-inspection
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Apr 3, 2026 - Python
Official code repostory for the paper "Two Steps Are All You Need: Efficient 3D Point Cloud Anomaly Detection with Consistency Models", accepted at CVPR (Workshop on Efficient Computer Vision) 2026. Paper: https://arxiv.org/abs/2605.05372
computer-vision efficiency point-clouds anomaly-detection consistency-models score-based-generative-modeling 3d-anomaly-detection consistency-training efficient-computer-vision
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May 8, 2026 - Python
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