mala-lab / FAPromptLinks
Official PyTorch implementation of ICCV'25 paper "Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection".
☆27Updated 5 months ago
Alternatives and similar repositories for FAPrompt
Users that are interested in FAPrompt are comparing it to the libraries listed below
Sorting:
- CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.☆40Updated last year
- Accurate reimplementation of WinCLIP (pytorch version)☆129Updated last year
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆82Updated 2 months ago
- Official implementation of TailedCore(CVPR25)☆24Updated 6 months ago
- [ICCV2023] Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model☆36Updated last year
- ☆56Updated 2 years ago
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆112Updated last year
- [AAAI 2025] PyTorch Implementation of "Unlocking the Potential of Reverse Distillation for Anomaly Detection".☆35Updated 7 months ago
- Official implement of ICLR 2025 "One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning"☆32Updated 7 months ago
- [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.☆198Updated 9 months ago
- [NeurIPS2023] Official Implementation of "ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction".☆47Updated last year
- ☆43Updated 2 years ago
- This is the official repository for our recent paper "Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Mo…☆121Updated 8 months ago
- ☆56Updated last year
- Official implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Promp…☆199Updated 5 months ago
- The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detect…☆112Updated 7 months ago
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆102Updated 7 months ago
- Official code for ACMMM 2022 paper: Towards Continual Adaptation in Industrial Anomaly Detection☆22Updated 2 years ago
- [ECCV 2024] The code for the ECCV 2024 paper: Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection☆27Updated last year
- Paper list for industrial image anomaly synthesis methods.☆71Updated last month
- Official implementation of the paper 'GlocalCLIP: Object-agnostic Global-Local Prompt Learning for Zero-shot Anomaly Detection'☆28Updated 9 months ago
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆80Updated 10 months ago
- Image anomaly detection benchmark in industrial manufacturing☆160Updated 10 months ago
- Official PyTorch implementation of the ICCV'23 paper “Anomaly Detection under Distribution Shift”☆39Updated 2 years ago
- Official implementation of DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.☆202Updated last year
- AAAI-2025: The largest and first anomaly detection dataset dedicated to 3C product quality control☆54Updated 8 months ago
- [ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''☆289Updated 5 months ago
- The official implementation of “One-for-More: Continual Diffusion Model for Anomaly Detection” （CVPR2025)☆54Updated 7 months ago
- Official implementation of the ECCV 2024 paper: TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection☆45Updated 8 months ago
- ☆61Updated 2 years ago