[🔥] A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future Trends

Junjun Jiang, Zengyuan Zuo,Gang Wu, Kui Jiang and Xianming Liu

AIIA Lab, Harbin Institute of Technology.

---

News

• 🚀 Our comprehensive survey paper on All-in-One Image Restoration has been released. We are actively developing this project and will provide regular updates to reflect the latest advancements in the field.

Awesome All-in-one Image Restoration Paper List

Paper	Avenue	Link	Code
An Intelligent Agentic System for Complex Image Restoration Problems Kaiwen Zhu, Jinjin Gu, Zhiyuan You, Yu Qiao, Chao Dong	Arxiv	Paper
LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration Yuang Ai, Huaibo Huang, Ran He	Arxiv	Paper	Code
TANet: Triplet Attention Network for All-In-One Adverse Weather Image Restoration Hsing-Hua Wang, Fu-Jen Tsai, Yen-Yu Lin, Chia-Wen Lin	ACCV2024	Paper	Code
Restore Anything with Masks: Leveraging Mask Image Modeling for Blind All-in-One Image Restoration Chu-Jie Qin, Rui-Qi Wu, Zikun Liu, Xin Lin, Chun-Le Guo, Hyun Hee Park, Chongyi Li	ECCV2024	Paper	Code
Accurate Forgetting for All-in-One Image Restoration Model Xin Su, Zhuoran Zheng	Arxiv	Paper
Perceive-IR: Learning to Perceive Degradation Better for All-in-One Image Restoration Xu Zhang, Jiaqi Ma, Guoli Wang, Qian Zhang, Huan Zhang, Lefei Zhang	Arxiv	Paper
Learning A Low-Level Vision Generalist via Visual Task Prompt Xiangyu Chen, Yihao Liu, Yuandong Pu, Wenlong Zhang, Jiantao Zhou, Yu Qiao, Chao Dong	ACMMM2024	Paper	Code
HAIR: Hypernetworks-based All-in-One Image Restoration Jin Cao, Yi Cao, Li Pang, Deyu Meng, Xiangyong Cao	Arxiv	Paper	Code
Review Learning: Advancing All-in-One Ultra-High-Definition Image Restoration Training Method Xin Su, Zhuoran Zheng, Chen Wu	Arxiv	Paper
UniProcessor: A Text-induced Unified Low-level Image Processor Huiyu Duan, Xiongkuo Min, Sijing Wu, Wei Shen, Guangtao Zhai	Arxiv	Paper	Code
Multi-Expert Adaptive Selection: Task-Balancing for All-in-One Image Restoration Xiaoyan Yu, Shen Zhou, Huafeng Li, Liehuang Zhu	Arxiv	Paper
RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models Haoyu Chen, Wenbo Li, Jinjin Gu, Jingjing Ren, Sixiang Chen, Tian Ye, Renjing Pei, Kaiwen Zhou, Fenglong Song, Lei Zhu	Arxiv	Paper
Training-Free Large Model Priors for Multiple-in-One Image Restoration Xuanhua He, Lang Li, Yingying Wang, Hui Zheng, Ke Cao, Keyu Yan, Rui Li, Chengjun Xie, Jie Zhang, Man Zhou	Arxiv	Paper
Any Image Restoration with Efficient Automatic Degradation Adaptation Bin Ren, Eduard Zamfir, Yawei Li, Zongwei Wu, Danda Pani Paudel, Radu Timofte, Nicu Sebe, Luc Van Gool	Arxiv	Paper	Code
GRIDS: Grouped Multiple-Degradation Restoration with Image Degradation Similarity Shuo Cao, Yihao Liu, Wenlong Zhang, Yu Qiao, Chao Dong	ECCV2024	Paper
OneRestore: A Universal Restoration Framework for Composite Degradation Yu Guo, Yuan Gao, Yuxu Lu, Huilin Zhu, Ryan Wen Liu, Shengfeng He	Arxiv	Paper
Learning Frequency-Aware Dynamic Transformers for All-In-One Image Restoration Zenglin Shi, Tong Su, Pei Liu, Yunpeng Wu, Le Zhang, Meng Wang	Arxiv	Paper
Instruct-IPT: All-in-One Image Processing Transformer via Weight Modulation Yuchuan Tian, Jianhong Han, Hanting Chen, Yuanyuan Xi, Guoyang Zhang, Jie Hu, Chao Xu, Yunhe Wang	Arxiv	Paper	Code
ConStyle v2: A Strong Prompter for All-in-One Image Restoration Dongqi Fan, Junhao Zhang, Liang Chang	Arxiv	Paper	Code
Restorer: Removing Multi-Degradation with All-Axis Attention and Prompt Guidance Jiawei Mao, Juncheng Wu, Yuyin Zhou, Xuesong Yin, Yuanqi Chang	Arxiv	Paper	Code
All-In-One Medical Image Restoration via Task-Adaptive Routing Zhiwen Yang, Haowei Chen, Ziniu Qian, Yang Yi, Hui Zhang, Dan Zhao, Bingzheng Wei, Yan Xu	MICCAI2024	Paper	Code
Efficient Degradation-aware Any Image Restoration Eduard Zamfir, Zongwei Wu, Nancy Mehta, Danda Pani Paudel, Yulun Zhang, Radu Timofte	Arxiv	Paper	Code
Harmony in Diversity: Improving All-in-One Image Restoration via Multi-Task Collaboration Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu	ACMMM2024	Paper	Code
Referring Flexible Image Restoration Runwei Guan, Rongsheng Hu, Zhuhao Zhou, Tianlang Xue, Ka Lok Man, Jeremy Smith, Eng Gee Lim, Weiping Ding, Yutao Yue	Arxiv	Paper	Code
Photo-Realistic Image Restoration in the Wild with Controlled Vision-Language Models Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön	CVPRW2024	Paper	Code
Joint Conditional Diffusion Model for Image Restoration with Mixed Degradations Yufeng Yue, Meng Yu, Luojie Yang, Yi Yang	Arxiv	Paper
Dynamic Pre-training: Towards Efficient and Scalable All-in-One Image Restoration Akshay Dudhane, Omkar Thawakar, Syed Waqas Zamir, Salman Khan, Fahad Shahbaz Khan, Ming-Hsuan Yang	Arxiv	Paper	Code
WM-MoE: Weather-aware Multi-scale Mixture-of-Experts for Blind Adverse Weather Removal Yulin Luo, Rui Zhao, Xiaobao Wei, Jinwei Chen, Yijie Lu, Shenghao Xie, Tianyu Wang, Ruiqin Xiong, Ming Lu, Shanghang Zhang	Arxiv	Paper
AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation Yuning Cui, Syed Waqas Zamir, Salman Khan, Alois Knoll, Mubarak Shah, Fahad Shahbaz Khan	Arxiv	Paper	Code
Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Model Dian Zheng, Xiao-Ming Wu, Shuzhou Yang, Jian Zhang, Jian-Fang Hu, Wei-Shi Zheng	CVPR2024	Paper	Code
Continual All-in-One Adverse Weather Removal with Knowledge Replay on a Unified Network Structure De Cheng, Yanling Ji, Dong Gong, Yan Li, Nannan Wang, Junwei Han, Dingwen Zhang	Arxiv	Paper	Code
AoSRNet: All-in-One Scene Recovery Networks via Multi-knowledge Integration Yuxu Lu, Dong Yang, Yuan Gao, Ryan Wen Liu, Jun Liu, Yu Guo	Arxiv	Paper	Code
InstructIR: High-Quality Image Restoration Following Human Instructions Marcos V. Conde, Gregor Geigle, Radu Timofte	ECCV2024	Paper	Code
Unified-Width Adaptive Dynamic Network for All-In-One Image Restoration Yimin Xu, Nanxi Gao, Zhongyun Shan, Fei Chao, Rongrong Ji	Arxiv	Paper	Code
Towards Effective Multiple-in-One Image Restoration: A Sequential and Prompt Learning Strategy Xiangtao Kong, Chao Dong, Lei Zhang	Arxiv	Paper	Code
Improving Image Restoration through Removing Degradations in Textual Representations Jingbo Lin, Zhilu Zhang, Yuxiang Wei, Dongwei Ren, Dongsheng Jiang, Wangmeng Zuo	Arxiv	Paper	Code
Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation Rongyu Zhang, Yulin Luo, Jiaming Liu, Huanrui Yang, Zhen Dong, Denis Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Yuan Du, Shanghang Zhang	AAAI2024	Paper
Textual Prompt Guided Image Restoration Qiuhai Yan, Aiwen Jiang, Kang Chen, Long Peng, Qiaosi Yi, Chunjie Zhang	Arxiv	Paper	Code
Decoupling Degradation and Content Processing for Adverse Weather Image Restoration Xi Wang, Xueyang Fu, Peng-Tao Jiang, Jie Huang, Mi Zhou, Bo Li, Zheng-Jun Zha	Arxiv	Paper
Prompt-In-Prompt Learning for Universal Image Restoration Zilong Li, Yiming Lei, Chenglong Ma, Junping Zhang, Hongming Shan	Arxiv	Paper	Code
Multimodal Prompt Perceiver: Empower Adaptiveness, Generalizability and Fidelity for All-in-One Image Restoration Yuang Ai, Huaibo Huang, Xiaoqiang Zhou, Jiexiang Wang, Ran He	CVPR2024	Paper
Language-driven All-in-one Adverse Weather Removal Hao Yang, Liyuan Pan, Yan Yang, Wei Liang	Arxiv	Paper
Test-Time Degradation Adaptation for Open-Set Image Restoration Yuanbiao Gou, Haiyu Zhao, Boyun Li, Xinyan Xiao, Xi Peng	ICML2024	Paper	Code
Clarity ChatGPT: An Interactive and Adaptive Processing System for Image Restoration and Enhancement Yanyan Wei, Zhao Zhang, Jiahuan Ren, Xiaogang Xu, Richang Hong, Yi Yang, Shuicheng Yan, Meng Wang	Arxiv	Paper
Always Clear Days: Degradation Type and Severity Aware All-In-One Adverse Weather Removal Yu-Wei Chen, Soo-Chang Pei	Arxiv	Paper	Code
Neural Degradation Representation Learning for All-In-One Image Restoration Mingde Yao, Ruikang Xu, Yuanshen Guan, Jie Huang, Zhiwei Xiong	Arxiv	Paper
AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusion Yitong Jiang, Zhaoyang Zhang, Tianfan Xue, Jinwei Gu	Arxiv	Paper	Code
Unifying Image Processing as Visual Prompting Question Answering Yihao Liu, Xiangyu Chen, Xianzheng Ma, Xintao Wang, Jiantao Zhou, Yu Qiao, Chao Dong	Arxiv	Paper
Controlling Vision-Language Models for Universal Image Restoration Ziwei Luo, Zheng Zhao, Thomas B. Schön	ICLR2024	Paper	Code
Fill the K-Space and Refine the Image: Prompting for Dynamic and Multi-Contrast MRI Reconstruction Bingyu Xin, Meng Ye, Leon Axel, Dimitris N. Metaxas	STACOM2023	Paper	Code
Prompt-based Ingredient-Oriented All-in-One Image Restoration Hu Gao, Depeng Dang	TCSVT2024	Paper
All-in-one Multi-degradation Image Restoration Network via Hierarchical Degradation Representation Cheng Zhang, Yu Zhu, Qingsen Yan, Jinqiu Sun, Yanning Zhang	ACMMM2023	Paper
Decomposition Ascribed Synergistic Learning for Unified Image Restoration Jinghao Zhang, Feng Zhao	Arxiv	Paper
DRM-IR: Task-Adaptive Deep Unfolding Network for All-In-One Image Restoration Yuanshuo Cheng, Mingwen Shao, Yecong Wan, Chao Wang	Arxiv	Paper
ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration Jiaqi Ma, Tianheng Cheng, Guoli Wang, Qian Zhang, Xinggang Wang, Lefei Zhang	Arxiv	Paper
PromptIR: Prompting for All-in-One Blind Image Restoration Vaishnav Potlapalli, Syed Waqas Zamir, Salman Khan, Fahad Shahbaz Khan	NeurIPS2023	Paper	Code
GridFormer: Residual Dense Transformer with Grid Structure for Image Restoration in Adverse Weather Conditions Tao Wang, Kaihao Zhang, Ziqian Shao, Wenhan Luo, Bjorn Stenger, Tong Lu, Tae-Kyun Kim, Wei Liu, Hongdong Li	IJCV2024	Paper	Code
Generative Diffusion Prior for Unified Image Restoration and Enhancement Ben Fei, Zhaoyang Lyu, Liang Pan, Junzhe Zhang, Weidong Yang, Tianyue Luo, Bo Zhang, Bo Dai	CVPR2023	Paper	Code
Context-aware Pretraining for Efficient Blind Image Decomposition Chao Wang, Zhedong Zheng, Ruijie Quan, Yifan Sun, Yi Yang	CVPR2023	Paper
Ingredient-oriented Multi-Degradation Learning for Image Restoration Jinghao Zhang, Jie Huang, Mingde Yao, Zizheng Yang, Hu Yu, Man Zhou, Feng Zhao	CVPR2023	Paper
Learning Weather-General and Weather-Specific Features for Image Restoration Under Multiple Adverse Weather Conditions Yurui Zhu, Tianyu Wang, Xueyang Fu, Xuanyu Yang, Xin Guo, Jifeng Dai, Yu Qiao, Xiaowei Hu	CVPR2023	Paper	Code
Adverse Weather Removal with Codebook Priors Tian Ye, Sixiang Chen, Jinbin Bai, Jun Shi, Chenghao Xue, Jingxia Jiang, Junjie Yin, Erkang Chen, Yun Liu	ICCV2023	Paper
Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models Ozan Özdenizci, Robert Legenstein	TPAMI2023	Paper
Images Speak in Images: A Generalist Painter for In-Context Visual Learning Xinlong Wang, Wen Wang, Yue Cao, Chunhua Shen, Tiejun Huang	CVPR2023	Paper	Code
All-In-One Image Restoration for Unknown Corruption Boyun Li, Xiao Liu, Peng Hu, Zhongqin Wu, Jiancheng Lv, Xi Peng	CVPR2022	Paper	Code
TAPE: Task-Agnostic Prior Embedding for Image Restoration Lin Liu, Lingxi Xie, Xiaopeng Zhang, Shanxin Yuan, Xiangyu Chen, Wengang Zhou, Houqiang Li, Qi Tian	CVPR2022	Paper
Learning Multiple Adverse Weather Removal via Two-stage Knowledge Learning and Multi-contrastive Regularization: Toward a Unified Model Wei-Ting Chen, Zhi-Kai Huang, Cheng-Che Tsai, Hao-Hsiang Yang, Jian-Jiun Ding, Sy-Yen Kuo	CVPR2022	Paper	Code
On Efficient Transformer-Based Image Pre-training for Low-Level Vision Wenbo Li, Xin Lu, Shengju Qian, Jiangbo Lu, Xiangyu Zhang, Jiaya Jia	Arxiv	Paper	Code
TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditions Jeya Maria Jose Valanarasu, Rajeev Yasarla, Vishal M. Patel	CVPR2022	Paper	Code
Blind Image Decomposition Junlin Han, Weihao Li, Pengfei Fang, Chunyi Sun, Jie Hong, Mohammad Ali Armin, Lars Petersson, Hongdong Li	ECCV2022	Paper	Code
Pre-Trained Image Processing Transformer Hanting Chen, Yunhe Wang, Tianyu Guo, Chang Xu, Yiping Deng, Zhenhua Liu, Siwei Ma, Chunjing Xu, Chao Xu, Wen Gao	CVPR2021	Paper	Code
All in One Bad Weather Removal Using Architectural Search Ruoteng Li, Robby T. Tan, Loong-Fah Cheong	CVPR2020	Paper
A General Decoupled Learning Framework for Parameterized Image Operators Qingnan Fan, Dongdong Chen, Lu Yuan, Gang Hua, Nenghai Yu, Baoquan Chen	TPAMI2019	Paper

2024

[Arxiv] LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration

Yuang Ai, Huaibo Huang, Ran He

• Paper: https://arxiv.org/abs/2410.15385
• Code: https://github.com/shallowdream204/LoRA-IR

[ACCV2024]TANet: Triplet Attention Network for All-In-One Adverse Weather Image Restoration

Hsing-Hua Wang, Fu-Jen Tsai, Yen-Yu Lin, Chia-Wen Lin

• Paper: https://arxiv.org/abs/2410.08177
• Code: https://github.com/xhuachris/TANet-ACCV-2024

[ECCV2024]Restore Anything with Masks: Leveraging Mask Image Modeling for Blind All-in-One Image Restoration

Chu-Jie Qin, Rui-Qi Wu, Zikun Liu, Xin Lin, Chun-Le Guo, Hyun Hee Park, Chongyi Li

• Paper: https://arxiv.org/abs/2409.19403
• Code: https://github.com/Dragonisss/RAM

Accurate Forgetting for All-in-One Image Restoration Model

Xin Su, Zhuoran Zheng

• Paper: https://arxiv.org/abs/2409.00685

Perceive-IR: Learning to Perceive Degradation Better for All-in-One Image Restoration

Xu Zhang, Jiaqi Ma, Guoli Wang, Qian Zhang, Huan Zhang, Lefei Zhang

• Paper: https://arxiv.org/abs/2108.02774

[ACMMM2024]Learning A Low-Level Vision Generalist via Visual Task Prompt

Xiangyu Chen, Yihao Liu, Yuandong Pu, Wenlong Zhang, Jiantao Zhou, Yu Qiao, Chao Dong

• Paper: https://arxiv.org/abs/2408.08601
• Code: https://github.com/chxy95/GenLV

HAIR: Hypernetworks-based All-in-One Image Restoration

Jin Cao, Yi Cao, Li Pang, Deyu Meng, Xiangyong Cao

• Paper: https://arxiv.org/abs/2408.08091
• Code: https://github.com/toummHus/HAIR

Review Learning: Advancing All-in-One Ultra-High-Definition Image Restoration Training Method

Xin Su, Zhuoran Zheng, Chen Wu

• Paper: https://arxiv.org/abs/2408.06709

UniProcessor: A Text-induced Unified Low-level Image Processor

Huiyu Duan, Xiongkuo Min, Sijing Wu, Wei Shen, Guangtao Zhai

• Paper: https://arxiv.org/abs/2407.20928
• Code: https://github.com/IntMeGroup/UniProcessor

Multi-Expert Adaptive Selection: Task-Balancing for All-in-One Image Restoration

Xiaoyan Yu, Shen Zhou, Huafeng Li, Liehuang Zhu

• Paper: https://arxiv.org/abs/2407.19139

RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models

Haoyu Chen, Wenbo Li, Jinjin Gu, Jingjing Ren, Sixiang Chen, Tian Ye, Renjing Pei, Kaiwen Zhou, Fenglong Song, Lei Zhu

• Paper: https://arxiv.org/abs/2407.18035

Training-Free Large Model Priors for Multiple-in-One Image Restoration

Xuanhua He, Lang Li, Yingying Wang, Hui Zheng, Ke Cao, Keyu Yan, Rui Li, Chengjun Xie, Jie Zhang, Man Zhou

• Paper: https://arxiv.org/abs/2407.13181

Any Image Restoration with Efficient Automatic Degradation Adaptation

Bin Ren, Eduard Zamfir, Yawei Li, Zongwei Wu, Danda Pani Paudel, Radu Timofte, Nicu Sebe, Luc Van Gool

• Paper: https://arxiv.org/abs/2407.13372
• Code: https://github.com/Amazingren/AnyIR

[ECCV2024]GRIDS: Grouped Multiple-Degradation Restoration with Image Degradation Similarity

Shuo Cao, Yihao Liu, Wenlong Zhang, Yu Qiao, Chao Dong

• Paper: https://arxiv.org/abs/2407.12273

OneRestore: A Universal Restoration Framework for Composite Degradation

Yu Guo, Yuan Gao, Yuxu Lu, Huilin Zhu, Ryan Wen Liu, Shengfeng He

• Paper: https://arxiv.org/abs/2407.04621

Learning Frequency-Aware Dynamic Transformers for All-In-One Image Restoration

Zenglin Shi, Tong Su, Pei Liu, Yunpeng Wu, Le Zhang, Meng Wang

• Paper: https://arxiv.org/abs/2407.01636

Instruct-IPT: All-in-One Image Processing Transformer via Weight Modulation

Yuchuan Tian, Jianhong Han, Hanting Chen, Yuanyuan Xi, Guoyang Zhang, Jie Hu, Chao Xu, Yunhe Wang

• Paper: https://arxiv.org/abs/2407.00676
• Code: https://github.com/huawei-noah/Pretrained-IPT

ConStyle v2: A Strong Prompter for All-in-One Image Restoration

Dongqi Fan, Junhao Zhang, Liang Chang

• Paper: https://arxiv.org/abs/2406.18242
• Code: https://github.com/Dongqi-Fan/ConStyle_v2

Restorer: Removing Multi-Degradation with All-Axis Attention and Prompt Guidance

Jiawei Mao, Juncheng Wu, Yuyin Zhou, Xuesong Yin, Yuanqi Chang

• Paper: https://arxiv.org/abs/2406.12587
• Code: https://github.com/Talented-Q/Restorer

[MICCAI2024]All-In-One Medical Image Restoration via Task-Adaptive Routing

Zhiwen Yang, Haowei Chen, Ziniu Qian, Yang Yi, Hui Zhang, Dan Zhao, Bingzheng Wei, Yan Xu

• Paper: https://arxiv.org/abs/2405.19769
• Code: https://github.com/Yaziwel/All-In-One-Medical-Image-Restoration-via-Task-Adaptive-Routing.git

Efficient Degradation-aware Any Image Restoration

Eduard Zamfir, Zongwei Wu, Nancy Mehta, Danda Pani Paudel, Yulun Zhang, Radu Timofte

• Paper: https://arxiv.org/abs/2405.15475
• Code: https://eduardzamfir.github.io/daair/

[ACMMM24]Harmony in Diversity: Improving All-in-One Image Restoration via Multi-Task Collaboration

Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu

• Paper: https://openreview.net/pdf?id=aMgbnUqSHv
• Code: https://github.com/Aitical/Art

Referring Flexible Image Restoration

Runwei Guan, Rongsheng Hu, Zhuhao Zhou, Tianlang Xue, Ka Lok Man, Jeremy Smith, Eng Gee Lim, Weiping Ding, Yutao Yue

• Paper: https://arxiv.org/abs/2404.10342
• Code: https://github.com/GuanRunwei/FIR-CP

[CVPRW2024]Photo-Realistic Image Restoration in the Wild with Controlled Vision-Language Models

Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön

• Paper: https://arxiv.org/abs/2404.09732
• Code: https://github.com/Algolzw/daclip-uir

Joint Conditional Diffusion Model for Image Restoration with Mixed Degradations

Yufeng Yue, Meng Yu, Luojie Yang, Yi Yang

• Paper: https://arxiv.org/abs/2404.07770

Dynamic Pre-training: Towards Efficient and Scalable All-in-One Image Restoration

Akshay Dudhane, Omkar Thawakar, Syed Waqas Zamir, Salman Khan, Fahad Shahbaz Khan, Ming-Hsuan Yang

• Paper: https://arxiv.org/abs/2404.02154
• Code: https://github.com/akshaydudhane16/DyNet

WM-MoE: Weather-aware Multi-scale Mixture-of-Experts for Blind Adverse Weather Removal

Yulin Luo, Rui Zhao, Xiaobao Wei, Jinwei Chen, Yijie Lu, Shenghao Xie, Tianyu Wang, Ruiqin Xiong, Ming Lu, Shanghang Zhang

• Paper: https://arxiv.org/abs/2303.13739

AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation

Yuning Cui, Syed Waqas Zamir, Salman Khan, Alois Knoll, Mubarak Shah, Fahad Shahbaz Khan

• Paper: https://arxiv.org/abs/2403.14614
• Code: https://github.com/c-yn/AdaIR

[CVPR2024]Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Model

Dian Zheng, Xiao-Ming Wu, Shuzhou Yang, Jian Zhang, Jian-Fang Hu, Wei-Shi Zheng

• Paper: https://arxiv.org/abs/2403.11157
• Code: https://github.com/iSEE-Laboratory/DiffUIR

Continual All-in-One Adverse Weather Removal with Knowledge Replay on a Unified Network Structure

De Cheng, Yanling Ji, Dong Gong, Yan Li, Nannan Wang, Junwei Han, Dingwen Zhang

• Paper: https://arxiv.org/abs/2403.07292
• Code: https://github.com/xiaojihh/CL_all-in-one

AoSRNet: All-in-One Scene Recovery Networks via Multi-knowledge Integration

Yuxu Lu, Dong Yang, Yuan Gao, Ryan Wen Liu, Jun Liu, Yu Guo

• Paper: https://arxiv.org/abs/2402.03738
• Code: https://github.com/LouisYuxuLu/AoSRNet

[ECCV2024]InstructIR: High-Quality Image Restoration Following Human Instructions

Marcos V. Conde, Gregor Geigle, Radu Timofte

• Paper: https://arxiv.org/abs/2401.16468
• Code: https://github.com/mv-lab/InstructIR

Unified-Width Adaptive Dynamic Network for All-In-One Image Restoration

Yimin Xu, Nanxi Gao, Zhongyun Shan, Fei Chao, Rongrong Ji

• Paper: https://arxiv.org/abs/2401.13221
• Code: https://github.com/xuyimin0926/U-WADN

Towards Effective Multiple-in-One Image Restoration: A Sequential and Prompt Learning Strategy

Xiangtao Kong, Chao Dong, Lei Zhang

• Paper: https://arxiv.org/abs/2401.03379
• Code: https://github.com/Xiangtaokong/MiOIR

2023

Improving Image Restoration through Removing Degradations in Textual Representations

Jingbo Lin, Zhilu Zhang, Yuxiang Wei, Dongwei Ren, Dongsheng Jiang, Wangmeng Zuo

• Paper: https://arxiv.org/pdf/2312.17334
• Code: https://github.com/mrluin/TextualDegRemoval

[AAAI2024]Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation

Rongyu Zhang, Yulin Luo, Jiaming Liu, Huanrui Yang, Zhen Dong, Denis Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Yuan Du, Shanghang Zhang

• Paper: https://arxiv.org/abs/2312.16610

Textual Prompt Guided Image Restoration

Qiuhai Yan, Aiwen Jiang, Kang Chen, Long Peng, Qiaosi Yi, Chunjie Zhang

• Paper: https://arxiv.org/abs/2312.06162
• Code: https://github.com/MoTong-AI-studio/TextPromptIR

Decoupling Degradation and Content Processing for Adverse Weather Image Restoration

Xi Wang, Xueyang Fu, Peng-Tao Jiang, Jie Huang, Mi Zhou, Bo Li, Zheng-Jun Zha

• Paper: https://arxiv.org/abs/2312.05006

Prompt-In-Prompt Learning for Universal Image Restoration

Zilong Li, Yiming Lei, Chenglong Ma, Junping Zhang, Hongming Shan

• Paper: https://arxiv.org/abs/2312.05038v1
• Code: https://github.com/longzilicart/pip_universal

[CVPR2024]Multimodal Prompt Perceiver: Empower Adaptiveness, Generalizability and Fidelity for All-in-One Image Restoration

Yuang Ai, Huaibo Huang, Xiaoqiang Zhou, Jiexiang Wang, Ran He

• Paper: https://arxiv.org/abs/2312.02918

Language-driven All-in-one Adverse Weather Removal

Hao Yang, Liyuan Pan, Yan Yang, Wei Liang

• Paper: https://arxiv.org/abs/2312.01381

[ICML2024]Test-Time Degradation Adaptation for Open-Set Image Restoration

Yuanbiao Gou, Haiyu Zhao, Boyun Li, Xinyan Xiao, Xi Peng

• Paper: https://arxiv.org/abs/2312.02197
• Code: https://github.com/XLearning-SCU/2024-ICML-TAO

Clarity ChatGPT: An Interactive and Adaptive Processing System for Image Restoration and Enhancement

Yanyan Wei, Zhao Zhang, Jiahuan Ren, Xiaogang Xu, Richang Hong, Yi Yang, Shuicheng Yan, Meng Wang

• Paper: https://arxiv.org/abs/2311.11695

Always Clear Days: Degradation Type and Severity Aware All-In-One Adverse Weather Removal

Yu-Wei Chen, Soo-Chang Pei

• Paper: https://arxiv.org/abs/2310.18293
• Code: https://github.com/fordevoted/UtilityIR

Neural Degradation Representation Learning for All-In-One Image Restoration

Mingde Yao, Ruikang Xu, Yuanshen Guan, Jie Huang, Zhiwei Xiong

• Paper: https://arxiv.org/abs/2310.12848

AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusion

Yitong Jiang, Zhaoyang Zhang, Tianfan Xue, Jinwei Gu

• Paper: https://arxiv.org/abs/2310.10123
• Code: https://jiangyitong.github.io/AutoDIR_webpage/

Unifying Image Processing as Visual Prompting Question Answering

Yihao Liu, Xiangyu Chen, Xianzheng Ma, Xintao Wang, Jiantao Zhou, Yu Qiao, Chao Dong

• Paper: https://arxiv.org/abs/2310.10513

[ICLR2024]Controlling Vision-Language Models for Universal Image Restoration

• Paper: https://arxiv.org/abs/2310.01018
• Code: https://github.com/Algolzw/daclip-uir

[STACOM2023]Fill the K-Space and Refine the Image: Prompting for Dynamic and Multi-Contrast MRI Reconstruction

Bingyu Xin, Meng Ye, Leon Axel, Dimitris N. Metaxas

• Paper: https://arxiv.org/pdf/2309.13839
• Code: https://github.com/hellopipu/PromptMR

[TCSVT2024]Prompt-based Ingredient-Oriented All-in-One Image Restoration

Hu Gao, Depeng Dang

• Paper: https://arxiv.org/abs/2309.03063

[ACMMM2023]All-in-one Multi-degradation Image Restoration Network via Hierarchical Degradation Representation

Cheng Zhang, Yu Zhu, Qingsen Yan, Jinqiu Sun, Yanning Zhang

• Paper: https://arxiv.org/abs/2308.03021

Decomposition Ascribed Synergistic Learning for Unified Image Restoration

Jinghao Zhang, Feng Zhao

• Paper: https://arxiv.org/abs/2308.00759

DRM-IR: Task-Adaptive Deep Unfolding Network for All-In-One Image Restoration

Yuanshuo Cheng, Mingwen Shao, Yecong Wan, Chao Wang

• Paper: https://arxiv.org/abs/2307.07688

ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration

Jiaqi Ma, Tianheng Cheng, Guoli Wang, Qian Zhang, Xinggang Wang, Lefei Zhang

• Paper: https://arxiv.org/abs/2306.13653

[NeurIPS2023]PromptIR: Prompting for All-in-One Blind Image Restoration

Vaishnav Potlapalli, Syed Waqas Zamir, Salman Khan, Fahad Shahbaz Khan

• Paper: https://arxiv.org/abs/2306.13090
• Code: https://github.com/va1shn9v/PromptIR

[IJCV2023]GridFormer: Residual Dense Transformer with Grid Structure for Image Restoration in Adverse Weather Conditions

Tao Wang, Kaihao Zhang, Ziqian Shao, Wenhan Luo, Bjorn Stenger, Tong Lu, Tae-Kyun Kim, Wei Liu, Hongdong Li

• Paper: https://arxiv.org/abs/2305.17863v2
• Code: https://github.com/TaoWangzj/GridFormer

[CVPR2023]Generative Diffusion Prior for Unified Image Restoration and Enhancement

Ben Fei, Zhaoyang Lyu, Liang Pan, Junzhe Zhang, Weidong Yang, Tianyue Luo, Bo Zhang, Bo Dai

• Paper: https://arxiv.org/abs/2304.01247
• Code: https://github.com/Fayeben/GenerativeDiffusionPrior

[CVPR2023]Context-aware Pretraining for Efficient Blind Image Decomposition

Chao Wang, Zhedong Zheng, Ruijie Quan, Yifan Sun, Yi Yang

• Paper: https://openaccess.thecvf.com/content/CVPR2023/papers/Wang_Context-Aware_Pretraining_for_Efficient_Blind_Image_Decomposition_CVPR_2023_paper.pdf

[CVPR2023]Ingredient-oriented Multi-Degradation Learning for Image Restoration

Jinghao Zhang, Jie Huang, Mingde Yao, Zizheng Yang, Hu Yu, Man Zhou, Feng Zhao

• Paper: https://openaccess.thecvf.com/content/CVPR2023/papers/Zhang_Ingredient-Oriented_Multi-Degradation_Learning_for_Image_Restoration_CVPR_2023_paper.pdf

[CVPR2023]Learning Weather-General and Weather-Specific Features for Image Restoration Under Multiple Adverse Weather Conditions

Yurui Zhu, Tianyu Wang, Xueyang Fu, Xuanyu Yang, Xin Guo, Jifeng Dai, Yu Qiao, Xiaowei Hu

• Paper: https://openaccess.thecvf.com/content/CVPR2023/papers/Zhu_Learning_Weather-General_and_Weather-Specific_Features_for_Image_Restoration_Under_Multiple_CVPR_2023_paper.pdf
• Code: https://github.com/zhuyr97/WGWS-Net

[ICCV2023]Adverse Weather Removal with Codebook Priors

Tian Ye1, Sixiang Chen, Jinbin Bai, Jun Shi, Chenghao Xue,Jingxia Jiang, Junjie Yin, Erkang Chen, Yun Liu

• Paper: https://openaccess.thecvf.com/content/ICCV2023/papers/Ye_Adverse_Weather_Removal_with_Codebook_Priors_ICCV_2023_paper.pdf

[TPAMI2023]Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models

Ozan Özdenizci, Robert Legenstein

• Paper: https://arxiv.org/abs/2207.14626

[CVPR2023]Images Speak in Images: A Generalist Painter for In-Context Visual Learning

Xinlong Wang, Wen Wang, Yue Cao, Chunhua Shen, Tiejun Huang

• Paper: https://arxiv.org/abs/2212.02499
• Code: https://github.com/baaivision/Painter

2022

[CVPR2022]All-In-One Image Restoration for Unknown Corruption

Boyun Li, Xiao Liu, Peng Hu, Zhongqin Wu, Jiancheng Lv, Xi Peng

• Paper: http://pengxi.me/wp-content/uploads/2022/03/All-In-One-Image-Restoration-for-Unknown-Corruption.pdf
• Code: https://github.com/XLearning-SCU/2022-CVPR-AirNet.git

[CVPR2022]TAPE: Task-Agnostic Prior Embedding for Image Restoration

Lin Liu, Lingxi Xie, Xiaopeng Zhang, Shanxin Yuan, Xiangyu Chen, Wengang Zhou, Houqiang Li, Qi Tian

• Paper: https://arxiv.org/abs/2203.06074

[CVPR2022]Learning Multiple Adverse Weather Removal via Two-stage Knowledge Learning and Multi-contrastive Regularization: Toward a Unified Model

Wei-Ting Chen, Zhi-Kai Huang, Cheng-Che Tsai, Hao-Hsiang Yang, Jian-Jiun Ding, Sy-Yen Kuo

• Paper: https://openaccess.thecvf.com/content/CVPR2022/papers/Chen_Learning_Multiple_Adverse_Weather_Removal_via_Two-Stage_Knowledge_Learning_and_CVPR_2022_paper.pdf
• Code: https://github.com/fingerk28/Two-stage-Knowledge-For-Multiple-Adverse-Weather-Removal

2021

On Efficient Transformer-Based Image Pre-training for Low-Level Vision

Wenbo Li, Xin Lu, Shengju Qian, Jiangbo Lu, Xiangyu Zhang, Jiaya Jia

• Paper: https://arxiv.org/abs/2112.10175
• Code: https://github.com/fenglinglwb/EDT

[CVPR2022]TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditions

Jeya Maria Jose Valanarasu, Rajeev Yasarla, Vishal M. Patel

• Paper: https://arxiv.org/abs/2111.14813
• Code: https://github.com/jeya-maria-jose/TransWeather

[ECCV2022]Blind Image Decomposition

Junlin Han, Weihao Li, Pengfei Fang, Chunyi Sun, Jie Hong, Mohammad Ali Armin, Lars Petersson, Hongdong Li

• Paper: https://arxiv.org/abs/2108.11364
• Code: https://github.com/JunlinHan/BID

2020

[CVPR2021] Pre-Trained Image Processing Transformer

Hanting Chen, Yunhe Wang, Tianyu Guo, Chang Xu, Yiping Deng, Zhenhua Liu, Siwei Ma, Chunjing Xu, Chao Xu, Wen Gao

• Paper: https://arxiv.org/abs/2012.00364
• Code: https://github.com/huawei-noah/Pretrained-IPT

[CVPR2020] All in One Bad Weather Removal Using Architectural Search

Ruoteng Li, Robby T. Tan, Loong-Fah Cheong

• Paper: https://openaccess.thecvf.com/content_CVPR_2020/papers/Li_All_in_One_Bad_Weather_Removal_Using_Architectural_Search_CVPR_2020_paper.pdf

2019

[TPAMI2019] A General Decoupled Learning Framework for Parameterized Image Operators

Qingnan Fan, Dongdong Chen, Lu Yuan, Gang Hua, Nenghai Yu, Baoquan Chen

• Paper: https://arxiv.org/abs/1907.05852