M-3LAB / Real3D-AD
[NeurIPS 2023] Offical code for <Real3D-AD: A Dataset of Point Cloud Anomaly Detection>. A 3D point cloud anomaly detection dataset and benchmark.
☆109Updated 8 months ago
Related projects ⓘ
Alternatives and complementary repositories for Real3D-AD
- [PR] Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection☆58Updated 3 months ago
- Official Anomaly-ShapeNet☆37Updated 2 months ago
- Shape-Guided Dual-Memory Learning for 3D Anomaly Detection [ICML2023]☆35Updated last year
- [NeurlPS 2023] A Dataset and Benchmark for Pose-agnostic Anomaly Detection.☆89Updated 4 months ago
- ☆149Updated last year
- Official implementation of the WACV2024 paper: Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation☆31Updated 9 months ago
- Awesome-3D/Multimodal-Anomaly-Detection-and-Localization/Segmentation/3D-KD/3D-knowledge-distillation☆69Updated last year
- ☆31Updated 6 months ago
- ☆11Updated 5 months ago
- Official Implementation for the "Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection" paper.☆114Updated last year
- A Dataset and Benchmark for Multi-Sensor Anomaly Detection☆13Updated 2 weeks ago
- This is the code to the WACV 2023 paper "Asymmetric Student-Teacher Networks for Industrial Anomaly Detection" by Marco Rudolph, Tom Wehr…☆71Updated last year
- ☆47Updated 4 months ago
- Official implementation of PointAD (NeurIPS 2024)☆25Updated last month
- [TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆64Updated last year
- ☆53Updated 3 weeks ago
- ADer (https://arxiv.org/abs/2406.03262) is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popu…☆189Updated 3 months ago
- [ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''☆135Updated 2 months ago
- [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.☆125Updated last month
- Official implementation of DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.☆142Updated 6 months ago
- Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection☆99Updated 2 months ago
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆75Updated 3 months ago
- [CVPR2024 Hightlight] No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation☆86Updated 7 months ago
- Accurate reimplementation of WinCLIP (pytorch version)☆77Updated 3 months ago
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆51Updated last month
- AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2☆31Updated last month
- [ICCV 2023] Pytorch Implementation for ICCV2023 paper: Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Det…☆41Updated 3 weeks ago
- Official implementation of paper FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization (ACM MM 2024…☆35Updated 3 months ago
- REB：Reducing Biases in Representation for Industrial Anomaly Detection☆20Updated 10 months ago
- ☆156Updated 9 months ago