yuanzhongqiao / Industrial-Defect-Diffusion-ModelLinks
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
☆16Updated last year
Alternatives and similar repositories for Industrial-Defect-Diffusion-Model
Users that are interested in Industrial-Defect-Diffusion-Model are comparing it to the libraries listed below
Sorting:
- (ICCV 2025) DictAS: A Framework for Class-Generalizable Few-Shot Anomaly Segmentation via Dictionary Lookup☆40Updated 3 weeks ago
- [IEEE TIM] An Incremental Knowledge Learning Framework for Continuous Defect Detection☆23Updated last year
- SSGD(ICASSP2023)☆49Updated 10 months ago
- [CVPR 2023] Unofficial PyTorch implementation for CVPR2023 paper, Prototypical Residual Networks for Anomaly Detection and Localization.☆34Updated 2 years ago
- This Repository contain the PyTorch implementation of the multi-class unsupervised anomaly detection method, accepted in CVPR2025: "Corre…☆44Updated 2 months ago
- [CVPR 2025] official implementation of “Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection”☆212Updated 3 months ago
- 基于卷积自编码器和图像金字塔的布料缺陷无监督学习与检测方法☆10Updated 2 years ago
- ☆34Updated last year
- Code of IEEE TIM Paper: ETDNet: Efficient Transformer-Based Detection Network for Surface Defect Detection☆24Updated 2 years ago
- [ICASSP 2022] FDSNet: An Accurate Real-Time Surface Defect Segmentation Network☆36Updated last year
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆107Updated last year
- The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detect…☆106Updated 5 months ago
- ☆24Updated 2 years ago
- Defect-GLM：A Large Visual-Language Model for Industrial Defect Monitoring|首个用于工业缺陷监测的开源大规模视觉语言模型☆88Updated last year
- Unofficial implementation of "Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection"☆19Updated 4 months ago
- [ECCV 2024] Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection☆16Updated last year
- Official code for the paper "FADE: Few-shot/zero-shot Anomaly Detection Engine using Large Vision-Language Model".☆34Updated 11 months ago
- Official implementation of DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.☆194Updated 10 months ago
- Unofficial individual re-implementation for "MemSeg: A semi-supervised method for image surface defect detection using differences and co…☆38Updated 3 years ago
- [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt☆60Updated last week
- Official implementation of CVPR'24 paper 'Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection'.☆51Updated last year
- [Pattern Recognition] Official implementation of the paper "CANet: Contextual Information and Spatial Attention Based Network for Detecti…☆19Updated last year
- The core code of AGCA: An Adaptive Graph Channel Attention Module for Steel Surface Defect Detection☆32Updated 2 years ago
- [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…☆90Updated last year
- ☆195Updated last year
- SimpleNet: A Simple Network for Image Anomaly Detection and Localization☆34Updated 2 years ago
- Frequency-aware Image Restoration for Industrial Visual anomaly detection☆38Updated 2 months ago
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆79Updated 7 months ago
- [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 last month