Defect-GAN: High-Fidelity Defect Synthesis for Automated Defect Inspection

Deep Residual Learning for Image Recognition

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GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

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Analyzing and Improving the Image Quality of StyleGAN

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Prototypical Networks for Few-shot LearningPreprint

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Context Encoders: Feature Learning by Inpainting

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Progressive Growing of GANs for Improved Quality, Stability, and Variation

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StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation

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Large Scale GAN Training for High Fidelity Natural Image Synthesis

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Semantic Image Synthesis With Spatially-Adaptive Normalization

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Generative Image Inpainting with Contextual Attention

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Multimodal Unsupervised Image-to-Image Translation

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Unsupervised Image-to-Image Translation NetworksPreprint

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Learning to Discover Cross-Domain Relations with Generative Adversarial Networks

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StarGAN v2: Diverse Image Synthesis for Multiple Domains

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Automatic Road Crack Detection Using Random Structured Forests

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A Closer Look at Few-shot ClassificationPreprint

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Meta-Learning With Differentiable Convex Optimization

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Semantic Image Inpainting with Deep Generative Models

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StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks

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Dynamic Few-Shot Visual Learning Without Forgetting

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EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis

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Few-Shot Object Detection via Feature Reweighting

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Data Augmentation Generative Adversarial NetworksPreprint

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Low-Shot Learning from Imaginary Data

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Few-Shot Object Detection With Attention-RPN and Multi-Relation Detector

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Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning

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GANimation: Anatomically-Aware Facial Animation from a Single Image

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F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning

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Frustratingly Simple Few-Shot Object DetectionPreprint

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Automated fabric defect detection—A review

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CAD-Net: A Context-Aware Detection Network for Objects in Remote Sensing Imagery

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Differentiable Augmentation for Data-Efficient GAN TrainingPreprint

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Meta-Learning to Detect Rare Objects

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Deep convolutional neural networks for detection of rail surface defects

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Seeing What a GAN Cannot GeneratePreprint

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Unsupervised Attention-guided Image to Image TranslationPreprint

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Deformable Patterned Fabric Defect Detection With Fisher Criterion-Based Deep Learning

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Defect Image Sample Generation With GAN for Improving Defect Recognition

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LR-GAN: Layered Recursive Generative Adversarial Networks for Image GenerationPreprint

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Automated surface inspection for directional textures

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Meta-Learning Convolutional Neural Architectures for Multi-Target Concrete Defect Classification With the COncrete DEfect BRidge IMage Dataset

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Spatial Fusion GAN for Image Synthesis

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Automated flaw detection in aluminum castings based on the tracking of potential defects in a radioscopic image sequence

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FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery

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Cascade EF-GAN: Progressive Facial Expression Editing With Local Focuses

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Cascaded SR-GAN for Scale-Adaptive Low Resolution Person Re-identification

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Verisimilar Image Synthesis for Accurate Detection and Recognition of Texts in Scenes

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Semantically Multi-Modal Image Synthesis

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SDNET2018: A concrete crack image dataset for machine learning applications

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Dynamic Few-Shot Visual Learning without ForgettingPreprint

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Jointly Embedding Multiple Single-Cell Omics Measurements

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DefectGAN: Weakly-Supervised Defect Detection using Generative Adversarial Network

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How to Make a Pizza: Learning a Compositional Layer-Based GAN Model

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PNPDet: Efficient Few-shot Detection without Forgetting via Plug-and-Play Sub-networks

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A Template Model for Defect Simulation for Evaluating Nondestructive Testing in X-Radiography

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RF-GAN: A Light and Reconfigurable Network for Unpaired Image-to-Image Translation

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Deep Industrial Image Anomaly Detection: A Survey

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AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model

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Diverse Image Inpainting with Bidirectional and Autoregressive Transformers

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Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation

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Region- and Strength-Controllable GAN for Defect Generation and Segmentation in Industrial Images

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Datasets and processing methods for boosting visual inspection of civil infrastructure: A comprehensive review and algorithm comparison for crack classification, segmentation, and detection

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A New Contrastive GAN With Data Augmentation for Surface Defect Recognition Under Limited Data

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DLS -GAN: Generative Adversarial Nets for Defect Location Sensitive Data Augmentation

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Mask2Defect: A Prior Knowledge-Based Data Augmentation Method for Metal Surface Defect Inspection

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Industrial UAV-Based Unsupervised Domain Adaptive Crack Recognitions: From Database Towards Real-Site Infrastructural Inspections

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Unbalanced Feature Transport for Exemplar-based Image Translation

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A Survey of Defect Detection Applications Based on Generative Adversarial Networks

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DiffDD: A surface defect detection framework with diffusion probabilistic model

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DG-GAN: A High Quality Defect Image Generation Method for Defect Detection

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Computer vision defect detection on unseen backgrounds for manufacturing inspection

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Survey on industrial defect detection with deep learning

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A New Foreground-Perception Cycle-Consistent Adversarial Network for Surface Defect Detection With Limited High-Noise Samples

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An Overview of Image Generation of Industrial Surface Defects

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Erasing-inpainting-based data augmentation using denoising diffusion probabilistic models with limited samples for generalized surface defect inspection

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Diversifying Tire-Defect Image Generation Based on Generative Adversarial Network

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Towards Continual Adaptation in Industrial Anomaly Detection

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Defect Image Sample Generation With Diffusion Prior for Steel Surface Defect Recognition

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Synthetic Data for Defect Segmentation on Complex Metal Surfaces

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Long-Tailed Anomaly Detection with Learnable Class Names

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Defect Spectrum: A Granular Look of Large-Scale Defect Datasets with Rich Semantics

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DefectFill: Realistic Defect Generation with Inpainting Diffusion Model for Visual Inspection

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A comprehensive survey of image synthesis approaches for Deep Learning-based surface defect detection in manufacturing

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Advancing Ultrasonic Defect Detection in High-Speed Wheels via UT-YOLO

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Robust unsupervised-learning based crack detection for stamped metal products

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Generating Defective Epoxy Drop Images for Die Attachment in Integrated Circuit Manufacturing via Enhanced Loss Function CycleGAN

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Synthesizing Industrial Defect Images Under Data Imbalance

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FEGAN: A Feature Extraction Based Approach for GAN Anomaly Detection and Localization

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Training-Free Industrial Defect Generation with Diffusion Models

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Datasets and Methods for Boosting Infrastructure Inspection: A Survey on Defect Segmentation and Detection

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Defect Synthesis Using Latent Mapping Adversarial Network for Automated Visual Inspection

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A Comprehensive Library for Benchmarking Multi-Class Visual Anomaly Detection

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Internal Thread Defect Generation Algorithm and Detection System Based on Generative Adversarial Networks and You Only Look Once

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A survey of generative models for image-based structural health monitoring in civil infrastructure

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AnomalyControl: Few-Shot Anomaly Generation by ControlNet Inpainting

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Improving the Fairness of the Min-Max Game in GANs Training

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Towards Accurate Unified Anomaly Segmentation

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Anomaly detection for surface of laptop computer based on PatchCore GAN algorithm

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Weakly Supervised Complex Texture Defect Detection Based on Nested U-Net Architecture

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Learning and Generating Diverse Residential Load Patterns Using GAN With Weakly-Supervised Training and Weight Selection

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Generative Models Training Based on FEM Simulations Toward Improved Defect Detection

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Multi-Flow: Multi-View-Enriched Normalizing Flows for Industrial Anomaly Detection

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Enhancing Battery Exterior Defect Inspection Accuracy Through Defect-Background Separated GAN Development

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Advancing Architectural Design Through Generative Adversarial Network Deep Learning Technology

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Increasing the Generalization of Supervised Fabric Anomaly Detection Methods to Unseen Fabrics

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Robust AD: A Real World Benchmark Dataset for Robustness in Industrial Anomaly Detection

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High-quality matched transfer generation adversarial network for synthetic cross-material surface defect images

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Utilizing generative AI for crack detection in the marble industry

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Automatic Inspection of Seal Integrity in Sterile Barrier Packaging: A Deep Learning Approach

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Detection of Stain Defects in Textile Industry using State-of-Art Transfer Learning Models

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Unbalanced Feature Transport for Exemplar-based Image TranslationPreprint

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Component-Aware Unsupervised Logical Anomaly Generation for Industrial Anomaly Detection

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DefectGen: Few-Shot Defect Image Generation using Stable Diffusion for Steel Surface Analysis

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Synth4Seg—Learning Defect Data Synthesis for Defect Segmentation Using Bi-Level Optimization

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MST: Multiscale Flow-Based Student–Teacher Network for Unsupervised Anomaly Detection

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Font conversion for steel product number recognition: A conditioned diffusion model approach

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Comparison of unsupervised image anomaly detection models for sheet metal glue lines

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Applications and Limits of Image-to-Image Translation Models

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Sequential PatchCore: Anomaly Detection for Surface Inspection Using Synthetic Impurities

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YOLO-MAD: Multi-Scale Geometric Structure Feature Extraction and Fusion for Steel Surface Defect Detection

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DefFiller: mask-conditioned generation with diffusion prior for saliency-based defect detection

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Accurate Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual Transformers

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DefectFill: Realistic Defect Generation with Inpainting Diffusion Model for Visual Inspection

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Residual-guided Foreground and Background Synthesis of Surface Defect GAN

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Multi-scale Defective Samples Synthesis for Surface Defect Detection

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