FuNz-0 / One-for-More
The official implementation of “One-for-More: Continual Diffusion Model for Anomaly Detection” （CVPR2025)
☆18Updated last month
Alternatives and similar repositories for One-for-More:
Users that are interested in One-for-More are comparing it to the libraries listed below
- Official implementation of TailedCore(CVPR25)☆17Updated last month
- Official implementation of the paper 'GlocalCLIP: Object-agnostic Global-Local Prompt Learning for Zero-shot Anomaly Detection'☆20Updated last month
- ☆50Updated last year
- CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.☆37Updated last year
- [ECCV 2024] Official Implementation of An Incremental Unified Framework for Small Defect Inspection☆39Updated 2 months ago
- [ECCV 2024] The code for the ECCV 2024 paper: Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection☆20Updated 6 months ago
- ☆18Updated 4 months ago
- Accurate reimplementation of WinCLIP (pytorch version)☆100Updated 5 months ago
- [ICCV2023] Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model☆26Updated last year
- Official implement of ICLR 2025 "One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning"☆13Updated last month
- Official PyTorch implementation of the ICCV'23 paper “Anomaly Detection under Distribution Shift”☆31Updated last year
- The official implementation of AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP☆54Updated last week
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆58Updated 6 months ago
- [CVPR 2025] UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection☆49Updated last month
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆97Updated 9 months ago
- ☆49Updated 10 months ago
- [ECCV 2024] Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection☆14Updated 8 months ago
- [CVPR 2025] The official implementation of “UniNet: A Contrastive Learning-guided Unified Framework with Feature Selection for Anomaly De…☆29Updated last week
- MoEAD is a parameter efficient model for multi class anomaly detection☆26Updated 4 months ago
- Official code for ACMMM 2022 paper: Towards Continual Adaptation in Industrial Anomaly Detection☆18Updated last year
- A method for detecting anomalies consisting of unusual combinations of normal elements using set features☆35Updated 5 months ago
- ☆40Updated 9 months ago
- [CVPR 2025] Towards Training-free Anomaly Detection with Vision and Language Foundation Models☆15Updated last month
- ☆29Updated last year
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆77Updated 2 months ago
- [ICCV 2023] Pytorch Implementation for ICCV2023 paper: Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Det…☆45Updated 6 months ago
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆79Updated 6 months ago
- AAAI-2025: The largest and first anomaly detection dataset dedicated to 3C product quality control☆39Updated 2 weeks ago
- GeneralAD☆53Updated 4 months ago
- This Repository contain the PyTorch implementation of the multi-class unsupervised anomaly detection method, accepted in CVPR2025: "Corre…☆19Updated 3 weeks ago