DEVILENMO / Unsupervised-Defect-Detection-Project-Based-on-VAE-GAN-ArchitectureLinks
本项目实现了一种基于 VAE-CycleGAN 的图像重建无监督缺陷检测算法。该算法结合了变分自编码器 (VAE) 和 CycleGAN 的优势,无需标注数据即可检测图像中的缺陷/异常。This project implements an unsupervised defect detection algorithm for image reconstruction based on VAE-CycleGAN. This algorithm combines the advantages of variational autoencoders (VAE) and CycleGAN to detect defects in images without any supervision.
☆64Updated 7 months ago
Alternatives and similar repositories for Unsupervised-Defect-Detection-Project-Based-on-VAE-GAN-Architecture
Users that are interested in Unsupervised-Defect-Detection-Project-Based-on-VAE-GAN-Architecture are comparing it to the libraries listed below
Sorting:
- We offer a collection of many dataset regarding surface-defect. Up to 24 dataset is listed in this repo.☆71Updated 3 months ago
- [ICPR 2024] Official implementation of SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect…☆70Updated 3 months ago
- ☆528Updated 11 months ago
- Offical implementation of "RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection (CVPR 2024)"☆368Updated 5 months ago
- Deep Learning Based Steel Pipe Weld Defect Detection☆88Updated 3 years ago
- [ECCV 2024] Official Implementation and Dataset Release for "A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Ano…☆329Updated 3 weeks ago
- [CVPR 2025] official implementation of “Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection”☆163Updated last month
- This is an official implementation of the paper : "Target before Shooting: Accurate Anomaly Detection and Localization under One Millisec…☆106Updated 9 months ago
- ☆252Updated 2 years ago
- unofficial version of EfficientAD☆145Updated last year
- [CVPR 2025] The official implementation of “UniNet: A Contrastive Learning-guided Unified Framework with Feature Selection for Anomaly De…☆82Updated 3 weeks ago
- ADer (https://arxiv.org/abs/2406.03262) is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popu…☆281Updated 6 months ago
- This project is about detecting defects on steel surface using Unet. The dataset used for this project is the NEU-DET database.☆114Updated 4 years ago
- Unofficial re-implementation of MemSeg for Anomaly Detection☆195Updated last year
- [AAAI 2024] AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model☆249Updated 11 months ago
- (CVPR 2023) Revisiting Reverse Distillation for Anomaly Detection☆144Updated last year
- Code of IEEE TIM Paper: ETDNet: Efficient Transformer-Based Detection Network for Surface Defect Detection☆24Updated last year
- ☆181Updated last year
- Official implementation of DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.☆184Updated 8 months ago
- [AAAI 2023] Official implementation of "Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation".☆130Updated 7 months ago
- ☆23Updated 2 years ago
- A taxonomy of industrial anomaly detection methods and datasets (updating).☆102Updated 2 months ago
- ☆195Updated last year
- Official PyTorch implementation for "Mixed supervision for surface-defect detection: from weakly to fully supervised learning"☆311Updated 3 years ago
- The dataset I am using is NEU-DET, which uses yolov8 and its improved models (including Coordinate Attention and Swin Transformer) for de…☆88Updated last year
- 异常/缺陷检测方向,谷歌学术和arxiv论文的相关更新☆33Updated this week
- ☆955Updated last year
- Anomaly Detection via Reverse Distillation from One-Class Embedding☆215Updated 2 years ago
- Image anomaly detection benchmark in industrial manufacturing☆142Updated 5 months ago
- Industrial Defect Diffusion Model (NOT JUST INDUSTRIAL DEFECT~), support DDPM, DDIM and multi-GPU distributed training. 分布式训练,生成模型,扩散模型☆15Updated last year