caoyunkang / VarADLinks
[IEEE TII 2025] Official Implementation for "VarAD: Lightweight High-Resolution Image Anomaly Detection via Visual Autoregressive Modeling"
☆23Updated 6 months ago
Alternatives and similar repositories for VarAD
Users that are interested in VarAD are comparing it to the libraries listed below
Sorting:
- Official implementation of TailedCore(CVPR25)☆20Updated 4 months ago
- Official implement of ICLR 2025 "One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning"☆26Updated 5 months ago
- Official implementation of the ECCV 2024 paper: TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection☆43Updated 6 months ago
- Official implementation of the paper "CSAD: Unsupervised Component Segmentation for Logical Anomaly Detection."☆55Updated 2 months ago
- [NeurIPS2023] Official Implementation of "ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction".☆47Updated last year
- [ICCV2025] SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning. Paper is available at https://arxi…☆95Updated 2 months ago
- [CVPR2025] AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios. Paper is available at https://arxiv.org/abs/2410.14…☆118Updated 2 months ago
- This is official implementation of Multi-scale feature reconstruction network for industrial anomaly detection☆17Updated 4 months ago
- ☆30Updated 2 years ago
- [AAAI 2025] PyTorch Implementation of "Unlocking the Potential of Reverse Distillation for Anomaly Detection".☆32Updated 5 months ago
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆77Updated 2 weeks ago
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆107Updated last year
- [CVPR 2025] Towards Training-free Anomaly Detection with Vision and Language Foundation Models☆65Updated 5 months ago
- This Repository contain the PyTorch implementation of the multi-class unsupervised anomaly detection method, accepted in CVPR2025: "Corre…☆46Updated 2 months ago
- AAAI-2025: The largest and first anomaly detection dataset dedicated to 3C product quality control☆50Updated 6 months ago
- Official source code for MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-Context.(AAAI 2025)☆29Updated 2 months ago
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆99Updated 4 months ago
- CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.☆39Updated last year
- Implementation for paper:"Learning Global-Local Correspondence with Semantic Bottleneck for Logical Anomaly Detection"☆12Updated 2 years ago
- Official code for the paper "FADE: Few-shot/zero-shot Anomaly Detection Engine using Large Vision-Language Model".☆34Updated 11 months ago
- ☆33Updated 9 months ago
- (CVPR2025) the code of "Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection"☆44Updated 4 months ago
- Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detection☆24Updated 2 months ago
- Unofficial implementation of "Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection"☆19Updated 4 months ago
- MoEAD is a parameter efficient model for multi class anomaly detection☆32Updated 10 months ago
- GeneralAD