intelligolabs / DIAGLinks
Official implementation of the paper "Leveraging Latent Diffusion Models for Training-Free In-Distribution Data Augmentation for Surface Defect Detection" accepted @ CBMI 2024.
☆26Updated 10 months ago
Alternatives and similar repositories for DIAG
Users that are interested in DIAG are comparing it to the libraries listed below
Sorting:
- The implement for paper : "A Novel Approach to Industrial Defect Generation through Blended Latent Diffusion Model with Online Adaptation…☆89Updated last year
- Official implementation of the paper "Diffusion-based Image Generation for In-distribution Data Augmentation in Surface Defect Detection"…☆27Updated 10 months ago
- [AAAI 2023] Official implementation of "Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation".☆151Updated last year
- [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt☆69Updated 3 weeks ago
- ☆30Updated 8 months ago
- SimpleNet: A Simple Network for Image Anomaly Detection and Localization☆34Updated 2 years ago
- [ICCV2025] SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning. Paper is available at https://arxi…☆130Updated 6 months ago
- ☆61Updated 9 months ago
- DualAnoDiff: Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation☆131Updated 8 months ago
- [AAAI 2024] AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model☆296Updated last year
- PyTorch unofficial implements `Defect-GAN: High-Fidelity Defect Synthesis for Automated Defect Inspection ` paper.☆25Updated 2 years ago
- [CVPR2025] AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios. Paper is available at https://arxiv.org/abs/2410.14…☆145Updated 5 months ago
- Official implementation of DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.☆205Updated last year
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆112Updated last year
- ☆202Updated last year
- The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detect…☆112Updated 8 months ago
- Official implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Promp…☆201Updated 6 months ago
- ☆37Updated last year
- [CVPR 2025] official implementation of “Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection”☆259Updated 7 months ago
- [WACV2025] AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2☆192Updated last month
- A method for detecting anomalies consisting of unusual combinations of normal elements using set features☆36Updated last year
- [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…☆92Updated last year
- [TCSVT 2024] Official Implementation for "Progressive Boundary Guided Anomaly Synthesis for Industrial Anomaly Detection"☆33Updated 6 months ago
- [NeurIPS 2024] MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning☆82Updated this week
- This Repository contain the PyTorch implementation of the multi-class unsupervised anomaly detection method, accepted in CVPR2025: "Corre…☆57Updated 6 months ago
- ☆38Updated last year
- Frequency-aware Image Restoration for Industrial Visual anomaly detection☆42Updated 5 months ago
- ☆84Updated last year
- Defect Spectrum: A Granular Look of Large-Scale Defect Datasets with Rich Semantics (ECCV2024)☆133Updated last year
- unofficial version of EfficientAD☆151Updated 2 years ago