Cover Image

FAIR: Frequency-aware Image Restoration for Industrial Visual Anomaly Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Tongkun, Li, Bing, Du, Xiao, Jiang, Bingke, Geng, Leqi, Wang, Feiyang, Zhao, Zhuo
Format:	Preprint
Published:	2023
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Reconstruction from edge image combined with color and gradient difference for industrial surface anomaly detection
by: Liu, Tongkun, et al.
Published: (2022)

Component-aware Unsupervised Logical Anomaly Generation for Industrial Anomaly Detection
by: Tong, Xuan, et al.
Published: (2025)

Exploring Few-Shot Defect Segmentation in General Industrial Scenarios with Metric Learning and Vision Foundation Models
by: Liu, Tongkun, et al.
Published: (2025)

AnomalyMoE: Towards a Language-free Generalist Model for Unified Visual Anomaly Detection
by: Gu, Zhaopeng, et al.
Published: (2025)

Normality-Preserving Continual Industrial Anomaly Detection via Orthogonal LoRA Banks
by: Fang, Weibai, et al.
Published: (2026)

UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection
by: Gu, Zhaopeng, et al.
Published: (2024)

Center-aware Residual Anomaly Synthesis for Multi-class Industrial Anomaly Detection
by: Chen, Qiyu, et al.
Published: (2025)

MathPhys-Guided Coarse-to-Fine Anomaly Synthesis with SQE-Driven Bi-Level Optimization for Anomaly Detection
by: Qian, Long, et al.
Published: (2025)

IAD-GPT: Advancing Visual Knowledge in Multimodal Large Language Model for Industrial Anomaly Detection
by: Li, Zewen, et al.
Published: (2025)

Multi-feature Reconstruction Network using Crossed-mask Restoration for Unsupervised Industrial Anomaly Detection
by: Wang, Junpu, et al.
Published: (2024)

Deep Industrial Image Anomaly Detection: A Survey
by: Liu, Jiaqi, et al.
Published: (2023)

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection
by: Qian, Long, et al.
Published: (2025)

OPCap:Object-aware Prompting Captioning
by: Huang, Feiyang
Published: (2024)

Hard-normal Example-aware Template Mutual Matching for Industrial Anomaly Detection
by: Chen, Zixuan, et al.
Published: (2023)

Towards Context-aware Convolutional Network for Image Restoration
by: Hao, Fangwei, et al.
Published: (2024)

IPAD: Industrial Process Anomaly Detection Dataset
by: Liu, Jinfan, et al.
Published: (2024)

Towards High-Resolution Industrial Image Anomaly Detection
by: Zhang, Ximiao, et al.
Published: (2025)

MIRAGE: Model-agnostic Industrial Realistic Anomaly Generation and Evaluation for Visual Anomaly Detection
by: Hu, Jinwei, et al.
Published: (2026)

ViTOC: Vision Transformer and Object-aware Captioner
by: Huang, Feiyang
Published: (2024)

Spatial-and-Frequency-aware Restoration method for Images based on Diffusion Models
by: Lee, Kyungsung, et al.
Published: (2024)

FiLo++: Zero-/Few-Shot Anomaly Detection by Fused Fine-Grained Descriptions and Deformable Localization
by: Gu, Zhaopeng, et al.
Published: (2025)

Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image
by: Zhang, Zerui, et al.
Published: (2024)

AD-Copilot: A Vision-Language Assistant for Industrial Anomaly Detection via Visual In-context Comparison
by: Jiang, Xi, et al.
Published: (2026)

Supervised Anomaly Detection for Complex Industrial Images
by: Baitieva, Aimira, et al.
Published: (2024)

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection
by: Tan, Xiaofeng, et al.
Published: (2024)

IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing
by: Xie, Guoyang, et al.
Published: (2023)

Normality Addition via Normality Detection in Industrial Image Anomaly Detection Models
by: Yi, Jihun, et al.
Published: (2024)

Semantic Visual Anomaly Detection and Reasoning in AI-Generated Images
by: Tan, Chuangchuang, et al.
Published: (2025)

Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images
by: Huang, Chaoqin, et al.
Published: (2024)

AgentIAD: Agentic Industrial Anomaly Detection via Adaptive Memory Augmentation
by: Miao, Junwen, et al.
Published: (2025)

ASBench: Image Anomalies Synthesis Benchmark for Anomaly Detection
by: Zhang, Qunyi, et al.
Published: (2025)

OmniAD: Detect and Understand Industrial Anomaly via Multimodal Reasoning
by: Zhao, Shifang, et al.
Published: (2025)

Efficient Degradation-aware Any Image Restoration
by: Zamfir, Eduard, et al.
Published: (2024)

VmambaIR: Visual State Space Model for Image Restoration
by: Shi, Yuan, et al.
Published: (2024)

PatchEAD: Unifying Industrial Visual Prompting Frameworks for Patch-Exclusive Anomaly Detection
by: Huang, Po-Han, et al.
Published: (2025)

Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection
by: Baitieva, Aimira, et al.
Published: (2025)

Uncertainty-aware Spatial-Frequency Registration and Fusion for Infrared and Visible Images
by: Li, Xingyuan, et al.
Published: (2026)

LINK: Adaptive Modality Interaction for Audio-Visual Video Parsing
by: Wang, Langyu, et al.
Published: (2024)

Prior Normality Prompt Transformer for Multi-class Industrial Image Anomaly Detection
by: Yao, Haiming, et al.
Published: (2024)

CXR-AD: Component X-ray Image Dataset for Industrial Anomaly Detection
by: Bai, Haoyu, et al.
Published: (2025)