intelligolabs / in_and_outLinks
Official implementation of the paper "Diffusion-based Image Generation for In-distribution Data Augmentation in Surface Defect Detection" accepted @ VISAPP 2024.
☆21Updated 4 months ago
Alternatives and similar repositories for in_and_out
Users that are interested in in_and_out 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…☆81Updated last year
- Official implementation of the paper "Leveraging Latent Diffusion Models for Training-Free In-Distribution Data Augmentation for Surface …☆18Updated 4 months ago
- SSGD(ICASSP2023)☆46Updated 8 months ago
- [AAAI 2023] Official implementation of "Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation".☆130Updated 7 months ago
- [CVPR 2025] official implementation of “Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection”☆168Updated last month
- Frequency-aware Image Restoration for Industrial Visual anomaly detection☆35Updated last month
- ☆15Updated last year
- The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detect…☆102Updated 2 months ago
- Defect Spectrum: A Granular Look of Large-Scale Defect Datasets with Rich Semantics (ECCV2024)☆128Updated 11 months ago
- ☆33Updated 9 months ago
- Official implementation of DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.☆184Updated 8 months ago
- [AAAI 2024] AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model☆249Updated last year
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆104Updated last year
- [CVPR 2025] UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection☆118Updated 4 months ago
- GeneralAD☆55Updated 7 months ago
- Official implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Promp…☆184Updated 3 weeks ago
- SimpleNet: A Simple Network for Image Anomaly Detection and Localization☆34Updated 2 years ago
- ☆30Updated last year
- ☆195Updated last year
- [TIP 2023] Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detection☆49Updated 3 years ago
- ☆54Updated 3 months ago
- ☆17Updated 2 years ago
- Segmentation-based Anomaly Detector (SegAD)☆57Updated 2 weeks ago
- Code for NeurIPS 2022 paper "SoftKernel: Unsupervised Anomaly Detection with Noisy Data"☆64Updated last year
- unofficial version of EfficientAD☆145Updated last year
- Official implementation of paper FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization (ACM MM 2024…☆68Updated last year
- This Repository contain the PyTorch implementation of the multi-class unsupervised anomaly detection method, accepted in CVPR2025: "Corre…☆39Updated last week
- Official implementation of CVPR'24 paper 'Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection'.☆46Updated last year
- DualAnoDiff: Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation☆83Updated 2 months ago
- [ICPR 2024] Official implementation of SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect…☆70Updated 3 months ago