zqhang / PointADLinks
Official implementation of PointAD (NeurIPS 2024)
☆63Updated 4 months ago
Alternatives and similar repositories for PointAD
Users that are interested in PointAD are comparing it to the libraries listed below
Sorting:
- ☆62Updated 3 months ago
- CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.☆39Updated last year
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆73Updated 11 months ago
- Official implementation of the WACV2024 paper: Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation☆39Updated last year
- Multi-Sensor Object Anomaly Detection: Unifying Appearance, Geometry, and Internal Properties(CVPR'25)☆66Updated 6 months ago
- [PR] Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection☆81Updated 7 months ago
- ☆20Updated last year
- Shape-Guided Dual-Memory Learning for 3D Anomaly Detection [ICML2023]☆49Updated last year
- Official implementation of the ECCV 2024 paper: TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection☆41Updated 5 months ago
- Accurate reimplementation of WinCLIP (pytorch version)☆118Updated 9 months ago
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆96Updated 4 months ago
- ☆183Updated 2 years ago
- Official implementation of paper FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization (ACM MM 2024…☆74Updated last year
- ☆23Updated 8 months ago
- AAAI-2025: The largest and first anomaly detection dataset dedicated to 3C product quality control☆48Updated 5 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…☆137Updated last year
- ☆55Updated 2 years ago
- (CVPR2025) the code of "Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection"☆39Updated 3 months ago
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆104Updated last year
- [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.☆178Updated 6 months ago
- Official implement of ICLR 2025 "One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning"☆22Updated 4 months ago
- ☆42Updated last year
- Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection☆173Updated last year
- Official code for the paper "FADE: Few-shot/zero-shot Anomaly Detection Engine using Large Vision-Language Model".☆31Updated 10 months ago
- Image anomaly detection benchmark in industrial manufacturing☆148Updated 7 months ago
- Official code for the paper "PNI : Industrial Anomaly Detection using Position and Neighborhood Information"☆51Updated 2 years ago
- This is the code to the WACV 2023 paper "Asymmetric Student-Teacher Networks for Industrial Anomaly Detection" by Marco Rudolph, Tom Wehr…☆80Updated 2 years ago
- [NeurIPS2023] Official Implementation of "ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction".☆47Updated last year
- [IEEE-TIP R2]Advancing Pre-trained Teacher: Towards Robust Feature Discrepancy for Anomaly Detection☆15Updated 2 weeks ago
- ☆54Updated last year