nomewang / M3DMLinks
☆195Updated 2 years ago
Alternatives and similar repositories for M3DM
Users that are interested in M3DM are comparing it to the libraries listed below
Sorting:
- [PR] Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection☆82Updated 9 months ago
- [NeurIPS 2023] Offical code for <Real3D-AD: A Dataset of Point Cloud Anomaly Detection>. A 3D point cloud anomaly detection dataset and b…☆144Updated last year
- Shape-Guided Dual-Memory Learning for 3D Anomaly Detection [ICML2023]☆48Updated 2 years ago
- Official implementation of the WACV2024 paper: Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation☆41Updated last year
- ☆72Updated 5 months ago
- This is the code to the WACV 2023 paper "Asymmetric Student-Teacher Networks for Industrial Anomaly Detection" by Marco Rudolph, Tom Wehr…☆83Updated 2 years ago
- ☆21Updated last year
- Official implementation of PointAD (NeurIPS 2024)☆69Updated 7 months ago
- Official Implementation for the "Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection" paper (VA…☆136Updated 3 years ago
- Multi-Sensor Object Anomaly Detection: Unifying Appearance, Geometry, and Internal Properties(CVPR'25)☆77Updated 9 months ago
- [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.☆197Updated 9 months ago
- Official Anomaly-ShapeNet☆49Updated 2 months ago
- Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection☆195Updated last year
- Official implementation of DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.☆202Updated last year
- [ICCV ADFM'25] ADer is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popular AD datasets and …☆317Updated 11 months ago
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆80Updated 9 months ago
- [INFFUS 2025] A taxonomy of industrial anomaly detection methods and datasets (updating).☆113Updated last month
- Awesome-3D/Multimodal-Anomaly-Detection-and-Localization/Segmentation/3D-KD/3D-knowledge-distillation☆86Updated 2 years ago
- Accurate reimplementation of WinCLIP (pytorch version)☆126Updated last year
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆112Updated last year
- Official implementation of paper FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization (ACM MM 2024…☆79Updated last year
- This repository is the official implementation of Incomplete Multimodal Industrial Anomaly Detection via Cross-Modal Distillation.☆23Updated 4 months ago
- ☆114Updated 5 months ago
- Image anomaly detection benchmark in industrial manufacturing☆160Updated 10 months ago
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆102Updated 6 months ago
- Official implementation of the ECCV 2024 paper: TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection☆45Updated 8 months ago
- [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…☆91Updated last year
- Code for NeurIPS 2022 paper "SoftKernel: Unsupervised Anomaly Detection with Noisy Data"☆82Updated last year
- ☆89Updated 2 years ago
- ☆56Updated last year