hujiecpp / MVTec-CaptionLinks
☆21Updated last year
Alternatives and similar repositories for MVTec-Caption
Users that are interested in MVTec-Caption are comparing it to the libraries listed below
Sorting:
- ☆56Updated last year
- GeneralAD☆56Updated last year
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆102Updated 6 months ago
- This Repository contain the PyTorch implementation of the multi-class unsupervised anomaly detection method, accepted in CVPR2025: "Corre…☆54Updated 4 months ago
- The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detect…☆109Updated 7 months ago
- CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.☆40Updated last year
- AAAI-2025: The largest and first anomaly detection dataset dedicated to 3C product quality control☆53Updated 7 months ago
- Evaluation Tool for Anomaly Detection Research☆16Updated last year
- [ICCV2025] SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning. Paper is available at https://arxi…☆109Updated 4 months ago
- [CVPR 2025] Towards Training-free Anomaly Detection with Vision and Language Foundation Models☆76Updated 7 months ago
- Paper list for industrial image anomaly synthesis methods.☆66Updated last month
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆112Updated last year
- (CVPR2025) the code of "Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection"☆56Updated 5 months ago
- ☆82Updated last year
- Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection☆191Updated last year
- Official implement of ICLR 2025 "One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning"☆29Updated 7 months ago
- [ECCV 2024] The code for the ECCV 2024 paper: Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection☆25Updated last year
- Official implementation of paper FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization (ACM MM 2024…☆78Updated last year
- The official implementation of “One-for-More: Continual Diffusion Model for Anomaly Detection” (CVPR2025)☆52Updated 7 months ago
- Accurate reimplementation of WinCLIP (pytorch version)☆125Updated last year
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆82Updated 2 months ago
- ☆56Updated 2 years ago
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆80Updated 9 months ago
- Official implementation of the ECCV 2024 paper: TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection☆45Updated 8 months ago
- The official implementation of AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP☆204Updated 6 months ago
- [ICCV2023] Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model☆35Updated last year
- Official implementation of DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.☆199Updated last year
- [CVPR2025] AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios. Paper is available at https://arxiv.org/abs/2410.14…☆127Updated 3 months ago
- [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.☆190Updated 9 months ago
- [ECCV 2024] Few-Shot Anomaly-Driven Generation for Anomaly Detection☆61Updated 3 months ago