mala-lab / FAPromptLinks
Official PyTorch implementation of "Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection".
☆13Updated this week
Alternatives and similar repositories for FAPrompt
Users that are interested in FAPrompt are comparing it to the libraries listed below
Sorting:
- Official implementation of the paper 'GlocalCLIP: Object-agnostic Global-Local Prompt Learning for Zero-shot Anomaly Detection'☆25Updated 4 months ago
- CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.☆38Updated last year
- Official code for ACMMM 2022 paper: Towards Continual Adaptation in Industrial Anomaly Detection☆19Updated last year
- Paper list for industrial image anomaly synthesis methods.☆42Updated 4 months ago
- Official implementation of TailedCore(CVPR25)☆19Updated last month
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆65Updated 8 months ago
- Accurate reimplementation of WinCLIP (pytorch version)☆110Updated 7 months ago
- ☆51Updated last year
- ☆44Updated last year
- The official implementation of “One-for-More: Continual Diffusion Model for Anomaly Detection” （CVPR2025)☆28Updated 2 months ago
- Official PyTorch implementation of the ICCV'23 paper “Anomaly Detection under Distribution Shift”☆35Updated last year
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆88Updated last month
- (CVPR2025) the code of "Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection"☆21Updated 3 weeks ago
- Official implement of ICLR 2025 "One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning"☆19Updated 2 months ago
- Official implementation of PointAD (NeurIPS 2024)☆61Updated last month
- [under review] Advancing Pre-trained Teacher: Towards Robust Feature Discrepancy for Anomaly Detection☆15Updated 5 months ago
- [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.☆174Updated 4 months ago
- [ECCV 2024] The code for the ECCV 2024 paper: Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection☆22Updated 8 months ago
- ☆52Updated last year
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆103Updated 11 months ago
- [AAAI 2023] Pytorch Implementation for AAAI2023 paper: One-for-All: Proposal Masked Cross-Class Anomaly Detection☆16Updated 8 months ago
- [ICCV2023] Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model☆29Updated last year
- Official implementation of the ECCV 2024 paper: TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection☆38Updated 3 months ago
- ☆39Updated last year
- GeneralAD☆55Updated 7 months ago
- [AAAI 2025] PyTorch Implementation of "Unlocking the Potential of Reverse Distillation for Anomaly Detection".☆26Updated last month
- [ICCV2025] SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning. Paper is available at https://arxi…☆32Updated this week
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆77Updated 4 months ago
- This Repository contain the PyTorch implementation of the multi-class unsupervised anomaly detection method, accepted in CVPR2025: "Corre…☆33Updated this week
- A curated list of anomaly detection with large language model, visual large model and graph foundation model papers & resources☆37Updated this week