└── README.md /README.md: -------------------------------------------------------------------------------- 1 | # Image De-raining papers 2 | 3 | ![](https://img.shields.io/badge/recent%20update-2025%20Jul.-red) ![](https://img.shields.io/badge/PRs-Welcome-red) ![](https://img.shields.io/badge/Issues-Welcome-red) 4 | 5 | Papers on Image de-raining which include recent prior based and learning based methods. The paper list is mainly maintained by [Schizophreni](https://github.com/Schizophreni/). We have merged the paper (starting from 2019) listed in [DerainZoo](https://github.com/nnUyi/DerainZoo) and re-organized recent papers for better comparison and understanding. Note that this list is also friendly for writing introduction or related work of your academic paper. 6 | 7 | ## Contents 8 | 9 | - [Image de-raining papers](#derainpapers) 10 | - [Contents](#contents) 11 | - [Introduction](#introduction) 12 | - [Papers](#papers) 13 | - [Survey](#Survey) 14 | - [Learning based](#Learning-Based) 15 | - [Linear Decompostion](#Linear-Decomposition) 16 | - [Generative Model](#Generative-Model) 17 | - [Recurrent Model](#Recurrent-Model) 18 | - [Prior Based](#Prior-Based) 19 | - [Hybrid](#Hybrid) 20 | - [Image de-raining meets high level vision](#High-Level) 21 | - [Other Contributors](#Other-Contributors) 22 | 23 | ***News (2025-7-18)***: *Add ICCV 2025 papers.* 24 | ***News (2025-7-18)***: *Add codes and project link to UniRestore (CVPR'25 Highlight)* 25 | 26 | ## Introduction 27 | 28 | This is a paper list about *image de-raining* researches. Image de-raining focuses on restoring the clean background given the rain-contaminated images as input. The basic assumption for image de-raining is that the information required for recovering the degraded pixels can be extracted from its neighbors. 29 | 30 | ## Marks 31 | 32 | > Task domain: ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/prune/compression-yellow) ![](https://img.shields.io/badge/video-orange) ![](https://img.shields.io/badge/image%20restoration-pink) 33 | > 34 | > Marks: ![](https://img.shields.io/badge/transformer-black) ![](https://img.shields.io/badge/diffusion%20model-cyan) ![](https://img.shields.io/badge/mamba-red) 35 | > 36 | > Resources: ![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 37 | 38 | ## Papers 39 | 40 | ### Survey 41 | 42 | - **Towards unified deep image deraining: a survey and a new benchmark.** arXiv 43 | 44 | *Xiang Chen, Jinshan Pan, Jiangxi Dong, and Jinhui Tang*, [[pdf]](https://arxiv.org/abs/2310.03535), 2023. 45 | 46 | - **A survey of single image rain removal based on deep learning.** ACM 47 | 48 | *Zhipeng Su, Yixiong Zhang, Jianghong Shi, and Xiao-Ping Zhang* [[pdf]](https://dl.acm.org/doi/pdf/10.1145/3625818), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=A+survey+of+single+image+rain+removal+based+on+deep+learning&btnG=#d=gs_cit&t=1696915637320&u=%2Fscholar%3Fq%3Dinfo%3AImum_74TMqYJ%3Ascholar.google.com%2F%26output%3Dcite%26scirp%3D0%26hl%3Den), 2023. 49 | 50 | - **Data-Driven single image deraining: A Comprehensive review and new perspectives.** PR 51 | 52 | *Zhao Zhang, Yanyan Wei, Haijun Zhang, Yi Yang, Shuicheng Yan, and Meng Wang* [[pdf]](https://www.sciencedirect.com/science/article/abs/pii/S0031320323004387), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Data-driven+single+image+deraining%3A+A+comprehensive+review+and+new+perspectives&btnG=), 2023. 53 | 54 | - **A Comprehensive Benchmark Analysis of Single Image Deraining: Current Challenges and Future Perspectives.** IJCV 55 | 56 | *Li Siyuan, Ren Wenqi, Wang Feng, Araujo Iago Breno, E. Tokuda Eric, H. Junior Roberto, M. Cesar-Jr. Roberto, Wang Zhangyang, and Cao Xiaochun.* [[pdf]](https://link.springer.com/article/10.1007/s11263-020-01416-w), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=A+Comprehensive+Benchmark+Analysis+of+Single+Image+Deraining%3A+Current+Challenges+and+Future+Perspectives&btnG=), 2021. 57 | 58 | - **Single Image Deraining: From Model-Based to Data-Driven and Beyond.** TPAMI. 59 | 60 | *Yang Wenhan, T. Tan Robby, Wang Shiqi, Fang Yuming, and Liu Jiaying.* [[pdf](https://arxiv.org/pdf/1912.07150.pdf)], [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Single+Image+Deraining%3A+From+Model-Based+to+Data-Driven+and+Beyond&btnG=), 2020. 61 | 62 | - **A Survey on Rain Removal from Video and Single Image.** arXiv. 63 | 64 | *Wang Hong, Wu Yichen, Li Minghan, Zhao Qian, and Meng Deyu.* [[pdf]](https://arxiv.org/pdf/1909.08326.pdf) [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=A+Survey+on+Rain+Removal+from+Video+and+Single+Image&btnG=), 2019. 65 | 66 | 67 | 68 | ### Learning Based 69 | 70 | #### Linear Decomposition 71 | 72 | - **UniRes: Universal Image Restoration for Complex Degradations**. ICCV 73 | 74 | *Mo Zhou, Keren Ye, Mauricio Delbracio, Peyman Milanfar, Vishal Patel, Hossein Talebi.* [[pdf]](https://arxiv.org/pdf/2506.05599), 2025. 75 | 76 | - **LD-RPS: Zero-Shot Unified Image Restoration via Latent Diffusion Recurrent Posterior Sampling**. ICCV 77 | 78 | *Li Huaqiu, Yong Wang, Tongwen Huang, Hailang Huang, Haoqian Wang, Xiangxiang Chu.* [[pdf]](https://arxiv.org/pdf/2507.00790v2), 2025. 79 | 80 | - **MOERL: When Mixture-of-Experts Meet Reinforcement Learning for Adverse Weather Image Restoration**. ICCV 81 | 82 | *Tao Wang, Peiwen Xia, Bo Li, Peng-Tao Jiang, Zhe Kong, Kaihao Zhang, Tong Lu, Wenhan Luo*. 2025. 83 | 84 | - **Frequency-Guided Posterior Sampling for Diffusion-Based Image Restoration**. ICCV 85 | 86 | *Darshan Thaker, Abhishek Goyal, Rene Vidal*, [[pdf]](https://arxiv.org/pdf/2411.15295), 2025. 87 | 88 | - **Dual-level Prototype Learning for Composite Degraded Image Restoration**. ICCV 89 | 90 | *Zhongze Wang, Haitao Zhao, Lujian Yao, Jingchao Peng, Kaijie Zhao*. 91 | 92 | - **EAMamba - Efficient All-Around Vision State Space Model for Image Restoration**. ICCV 93 | 94 | *Yu-Cheng Lin, Yu-Syuan Xu, Hao-Wei Chen, Hsien-Kai Kuo, Chun-Yi Lee*, [[pdf]](https://arxiv.org/pdf/2506.22246), 2025. 95 | 96 | - **Exploiting Diffusion Prior for Task-driven Image Restoration**. ICCV 97 | 98 | *Jaeha Kim, Junghun Oh, Kyoung Mu Lee*. 2025. 99 | 100 | - **FoundIR: Unleashing Million-scale Training Data to Advance Foundation Models for Image Restoration**. ICCV 101 | 102 | *Hao Li, Xiang Chen, Jiangxin Dong, Jinhui Tang, Jinshan Pan*. [[pdf]](https://arxiv.org/pdf/2412.01427), 2025. 103 | 104 | - **Devil is in the Uniformity: Exploring Diverse Learners within Transformer for Image Restoration**. ICCV 105 | 106 | *Shihao Zhou, Dayu Li, Jinshan Pan, Juncheng Zhou, Jinglei Shi, Jufeng Yang*. [[pdf]](https://arxiv.org/pdf/2503.20174), 2025. 107 | 108 | - **Enhancing Image Restoration Transformer via Adaptive Translation Equivariance**. ICCV 109 | 110 | *JiaKui Hu, Zhengjian Yao, Lujia Jin, Hangzhou He, Yanye Lu*. [[pdf]](https://arxiv.org/pdf/2506.18520), 2025. 111 | 112 | - **Reverse Convolution and Its Applications to Image Restoration** ICCV 113 | 114 | *Xuhong Huang, Shiqi Liu, Kai Zhang, Ying Tai, Jian Yang, Hui Zeng, Lei Zhang*. 2025. 115 | 116 | - **Channel Consistency Prior and Self-Reconstruction Strategy Based Unsupervised Image Deraining** CVPR. 117 | 118 | *Guanglu Dong*, *Tianheng Zheng*, *Yuanzhouhan Cao*, *Linbo Qing*, *Chao Ren*. [[pdf]](https://arxiv.org/pdf/2503.18703), [[github]](https://github.com/GuangluDong0728/CSUD-Unsupervised-Deraining-CVPR2025), 2025. 119 | 120 | - **Complexity Experts are Task-Discriminative Learners for Any Image Restoration** CVPR. 121 | 122 | *Eduard Zamfir*, *Zongwei Wu*, *Nancy Mehta*, *Yuedong Tan*, *Danda Paudel*, *Yulun Zhang*, *Radu Timofte*, 2025. 123 | 124 | - **Visual-Instructed Degradation Diffusion for All-in-One Image Restoration** CVPR. 125 | 126 | *Haina Qin*, *Wenyang Luo*, *Zewen Chen*, *Yufan Liu*, *Bing Li*, *Weiming Hu*, *libin wang*, *DanDan Zheng*, *Yuming Li*, 2025. 127 | 128 | - **UHD-processer: Unified UHD Image Restoration with Progressive Frequency Learning and Degradation-aware Prompts** CVPR. 129 | 130 | *Yidi Liu · Dong Li · Xueyang Fu · Xin Lu · Jie Huang · Zheng-Jun Zha*, 2025. 131 | 132 | - **Adapting Text-to-Image Generation with Feature Difference Instruction for Generic Image Restoration** CVPR. 133 | 134 | *Chao Wang · Hehe Fan · Huichen Yang · Sarvnaz Karimi · Lina Yao · Yi Yang*, 2025. 135 | 136 | - **Zero-Shot Image Restoration Using Few-Step Guidance of Consistency Models (and Beyond)** CVPR. 137 | 138 | *Tomer Garber · Tom Tirer*, 2025. 139 | 140 | - **A Regularization-Guided Equivariant Approach for Image Restoration** CVPR. 141 | 142 | *Yulu Bai · Jiahong Fu · Qi Xie · Deyu Meng*, 2025. 143 | 144 | - **ACL: Activating Capability of Linear Attention for Image Restoration** CVPR. 145 | 146 | *Yubin Gu · Yuan Meng · Jiayi Ji · Xiaoshuai Sun*, 2025. 147 | 148 | - **GenDeg: Diffusion-Based Degradation Synthesis for Generalizable All-in-One Image Restoration** CVPR. 149 | 150 | *Sudarshan Rajagopalan · Nithin Gopalakrishnan Nair · Jay Paranjape · Vishal M. Patel*, 2025. 151 | 152 | - **UniRestore: Unified Perceptual and Task-Oriented Image Restoration Model Using Diffusion Prior** CVPR. ![](https://img.shields.io/badge/image%20restoration-pink)![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 153 | 154 | *I-Hsiang (Aaron) Chen, Wei-Ting Chen, Yu-Wei Liu, Yuan-Chun Chiang, Sy-Yen Kuo, Ming-Hsuan Yang*, [[pdf]](https://arxiv.org/pdf/2501.13134) [[github]](https://github.com/unirestore/UniRestore), [[project]](https://unirestore.github.io), 2025. 155 | 156 | - **VolFormer: Explore More Comprehensive Cube Interaction for Hyperspectral Image Restoration and Beyond** CVPR. 157 | 158 | *Dabing Yu · Zheng Gao*, 2025. 159 | 160 | - **Inverting Flow for Image Restoration** CVPR. 161 | 162 | *Haina Qin · Wenyang Luo · Bing Li · Weiming Hu · libin wang · DanDan Zheng · Jingdong Chen · Ming Yang*, 2025. 163 | 164 | - **JarvisIR: Elevating Autonomous Driving Perception with Intelligent Image Restoration** CVPR. 165 | 166 | *Yunlong Lin · Zixu Lin · Haoyu Chen · Panwang Pan · Chenxin Li · Sixiang Chen · Kairun Wen · Yeying Jin · Wenbo Li · Xinghao Ding*, 2025. 167 | 168 | - **URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration** CVPR. 169 | 170 | *Rui Xu · Yuzhen Niu · Yuezhou Li · Huangbiao Xu · Wenxi Liu · Yuzhong Chen*, 2025. 171 | 172 | - **Navigating Image Restoration with VAR’s Distribution Alignment Prior** CVPR. 173 | 174 | *Siyang Wang · Naishan Zheng · Jie Huang · Feng Zhao*, 2025. 175 | 176 | - **Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration**, CVPR. 177 | 178 | *Junyuan Deng · Xinyi Wu · Yongxing Yang · Congchao Zhu · Song Wang · Zhenyao Wu*, 2025. 179 | 180 | - **Reconciling Stochastic and Deterministic Strategies for Zero-shot Image Restoration using Diffusion Model in Dual** CVPR. 181 | 182 | *Chong Wang · Lanqing Guo · Zixuan Fu · SIYUAN YANG · Hao Cheng · Alex C. Kot · Bihan Wen*, 2025. 183 | 184 | - **Visual-Instructed Degradation Diffusion for All-in-One Image Restoration** CVPR. 185 | 186 | *Haina Qin · Wenyang Luo · Zewen Chen · Yufan Liu · Bing Li · Weiming Hu · libin wang · DanDan Zheng · Yuming Li*, 2025. 187 | 188 | - **Degradation-Aware Feature Perturbation for All-in-One Image Restoration** CVPR. 189 | 190 | *Xiangpeng Tian · Xiangyu Liao · Xiao Liu · Meng Li · Chao Ren*, 2025. 191 | 192 | - **MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration** CVPR. 193 | 194 | *Boyun Li · Haiyu Zhao · Wenxin Wang · Peng Hu · Yuanbiao Gou · Xi Peng*, 2025. 195 | 196 | - **Dual Prompting for Image Restoration across Full-Scene with Diffusion Transformers** CVPR. 197 | 198 | *Dehong Kong · Fan Li · Zhixin Wang · Jiaqi Xu · Renjing Pei · Wenbo Li · Wenqi Ren*, 2025. 199 | 200 | - **From Zero to Detail: Deconstructing Ultra-High-Definition Image Restoration from Progressive Spectral Perspective** CVPR. 201 | 202 | *Chen Zhao · Zhizhou Chen · Yunzhe Xu · Enxuan Gu · Jian Li · Zili Yi · qian Wang · Jian Yang · Ying Tai*, 2025. 203 | 204 | - **Towards real-world adverse weather image restoration: Enhancing clearness and semantics with vision-language models.** ECCV.![](https://img.shields.io/badge/image%20restoration-pink) 205 | 206 | *Jiaqi Xu, Mengyang Wu, Xiaowei Hu, Chi-Wing Fu, Qi Dou, and Pheng-Ann Heng.* [[pdf]](https://link.springer.com/chapter/10.1007/978-3-031-72649-1_9), [[github]](https://github.com/jiaqixuac/WResVLM), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Towards+Real-World+Adverse+Weather+Image+Restoration%3A+Enhancing+Clearness+and+Semantics+with+Vision-Language+Models&btnG=), 2024. 207 | 208 | - **Efficient frequency-domain image deraining with contrastive regularization.** ECCV.![](https://img.shields.io/badge/single%20image-purple)![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 209 | 210 | *Ning Gao, Xingyu Jiang, Xiuhui Zhang, and Yue Deng.* [[pdf]](https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/05751.pdf), [[github]](https://github.com/deng-ai-lab/FADformer), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Efficient+frequency-domain+image+deraining+with+contrastive+regularization&btnG=), 2024. 211 | 212 | - **Mambair: A simple baseline for image restoration with state-space model**. ECCV. ![](https://img.shields.io/badge/image%20restoration-pink)![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green)![](https://img.shields.io/badge/mamba-red) 213 | 214 | *Hang Guo, Jinmin Li, Tao Dai, Zhihao Ouyang, Xudong Ren, and Shu-Tao Xia*. [[pdf]](https://arxiv.org/pdf/2402.15648), [[github]](https://github.com/csguoh/MambaIR), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=mambaIR&btnG=&oq=mamba), 2024. 215 | 216 | - **Restoring images in adverse weather conditions via histogram transformer** ECCV. ![](https://img.shields.io/badge/video-orange) ![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 217 | 218 | *Shangquan Sun, Wenqi Ren, Xinwei Gao, Rui Wang, and Xiaochun Cao* [[pdf]](https://arxiv.org/pdf/2407.10172) [[github]](https://github.com/sunshangquan/Histoformer)[[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Restoring+Images+in+Adverse+Weather+Conditions+via+Histogram+Transformer&btnG=), 2024. 219 | 220 | - **Bidirectional multi-scale implicit neural representations for image deraining.** CVPR. ![](https://img.shields.io/badge/single%20image-purple)![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 221 | 222 | *Xiang Chen, Jinshan Pan, and Jiangxin Dong.* [[pdf]](https://openaccess.thecvf.com/content/CVPR2024/papers/Chen_Bidirectional_Multi-Scale_Implicit_Neural_Representations_for_Image_Deraining_CVPR_2024_paper.pdf), [[github]](https://github.com/cschenxiang/NeRD-Rain), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Bidirectional+Multi-Scale+Implicit+Neural+Representations+for+Image+Deraining&btnG=), 2024. 223 | 224 | - **Adapt or perish: Adaptive sparse transformer with attentive feature refinement for image restoration.** CVPR. ![](https://img.shields.io/badge/image%20restoration-pink)![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 225 | 226 | *Shihao Zhou, Duosheng Chen, Jinshan Pan, Jinglei Shi, and Jufeng Yang.* [[pdf]](https://openaccess.thecvf.com/content/CVPR2024/papers/Zhou_Adapt_or_Perish_Adaptive_Sparse_Transformer_with_Attentive_Feature_Refinement_CVPR_2024_paper.pdf), [[github]](https://github.com/joshyZhou/AST), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Adapt+or+Perish%3A+Adaptive+Sparse+Transformer+with+Attentive+Feature+Refinement+for+Image+Restoration&btnG=), 2024. 227 | 228 | - **Image restoration by denoising diffusion models with iteratively preconditioned guidance.** CVPR. ![](https://img.shields.io/badge/image%20restoration-pink)![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 229 | 230 | *Tomer Garber, and Tom TIrer.* [[pdf]](https://openaccess.thecvf.com/content/CVPR2024/papers/Garber_Image_Restoration_by_Denoising_Diffusion_Models_with_Iteratively_Preconditioned_Guidance_CVPR_2024_paper.pdf), [[github]](https://github.com/tirer-lab/DDPG), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Image+Restoration+by+Denoising+Diffusion+Models+with+Iteratively+Preconditioned+Guidance&btnG=), 2024. 231 | 232 | - **Code: An explicit content decoulping framework for image restoration.** CVPR. ![](https://img.shields.io/badge/image%20restoration-pink) 233 | 234 | *Enxuan Gu, Hongwei Ge, and Yong Guo.* [[pdf]](https://openaccess.thecvf.com/content/CVPR2024/papers/Gu_CoDe_An_Explicit_Content_Decoupling_Framework_for_Image_Restoration_CVPR_2024_paper.pdf), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=CoDe%3A+An+Explicit+Content+Decoupling+Framework+for+Image+Restoration&btnG=), 2024. 235 | 236 | - **Learning diffusion texture priors for image restoration.** CVPR. ![](https://img.shields.io/badge/image%20restoration-pink) 237 | 238 | *Tian Ye, Sixiang Chen, Wenhao Chai, Zhaohu Xing, Jing Qin, Ge Lin, and Lei Zhu.* [[pdf]](https://openaccess.thecvf.com/content/CVPR2024/papers/Ye_Learning_Diffusion_Texture_Priors_for_Image_Restoration_CVPR_2024_paper.pdf), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=https%3A%2F%2Fopenaccess.thecvf.com%2Fcontent%2FCVPR2024%2Fpapers%2FYe_Learning_Diffusion_Texture_Priors_for_Image_Restoration_CVPR_2024_paper.pdf&btnG=), 2024. 239 | 240 | - **Improving image restoration through removig degradations in textual representations.** CVPR. ![](https://img.shields.io/badge/image%20restoration-pink)![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 241 | 242 | *Jingbo Lin, Zhilu Zhang, Yuxiang Wei, Dongwei Ren, Dongsheng Jiang, Qi Tian, and Wangmeng Zuo.* [[pdf]](https://openaccess.thecvf.com/content/CVPR2024/papers/Lin_Improving_Image_Restoration_through_Removing_Degradations_in_Textual_Representations_CVPR_2024_paper.pdf), [[github]](https://github.com/mrluin/TextualDegRemoval), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Improving+Image+Restoration+through+Removing+Degradations+in+Textual+Representations&btnG=), 2024. 243 | 244 | - **Boosting image restoration via priors from pre-trained models.** CVPR. ![](https://img.shields.io/badge/image%20restoration-pink) 245 | 246 | *Xiaogang Xu, Shu Kong, Tao Hu, Zhe Liu, and Hujun Bao.* [[pdf]](https://openaccess.thecvf.com/content/CVPR2024/papers/Xu_Boosting_Image_Restoration_via_Priors_from_Pre-trained_Models_CVPR_2024_paper.pdf), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Boosting+Image+Restoration+via+Priors+from+Pre-trained+Models&btnG=), 2024. 247 | 248 | - **Distilling semantic priors from sam to efficient image restoration models.** CVPR. ![](https://img.shields.io/badge/image%20restoration-pink) 249 | 250 | *Quan Zhang, Xiaoyu Liu, Wei Li, Hanting Chen, Junchao Liu, Jie Hu, Zhiwei Xiong, Chun Yuan, and Yunhe Wang.* [[pdf]](https://openaccess.thecvf.com/content/CVPR2024/papers/Zhang_Distilling_Semantic_Priors_from_SAM_to_Efficient_Image_Restoration_Models_CVPR_2024_paper.pdf), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Distilling+Semantic+Priors+from+SAM+to+Efficient+Image+Restoration+Models&btnG=), 2024. 251 | 252 | - **Selective hourglass mapping for universal image restoration based on diffusion model.** CVPR. ![](https://img.shields.io/badge/image%20restoration-pink) 253 | 254 | *Dian Zheng, Xiao-Ming Wu, Shuzhou Yang, Jian Zhang, Jian-Fang Hu, and Wei-Shi Zheng.* [[pdf]](https://openaccess.thecvf.com/content/CVPR2024/papers/Zheng_Selective_Hourglass_Mapping_for_Universal_Image_Restoration_Based_on_Diffusion_CVPR_2024_paper.pdf), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Selective+Hourglass+Mapping+for+Universal+Image+Restoration+Based+on+Diffusion+Model&btnG=), 2024. 255 | 256 | - **Look-up table compression for efficient image restoration.** CVPR. ![](https://img.shields.io/badge/image%20restoration-pink) 257 | 258 | *Yinglong Li, Jiacheneg Li, and Zhiwei Xiong.* [[pdf]](https://openaccess.thecvf.com/content/CVPR2024/papers/Li_Look-Up_Table_Compression_for_Efficient_Image_Restoration_CVPR_2024_paper.pdf), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Look-Up+Table+Compression+for+Efficient+Image+Restoration&btnG=), 2024. 259 | 260 | - **Wavelet-based fourier information interaction with frequency diffusion adjustment for underwater image restoration.** CVPR. ![](https://img.shields.io/badge/image%20restoration-pink) 261 | 262 | *Chen Zhao, Weiling Cai, Chenyu Dong, and Chengwei Hu.* [[pdf]](https://openaccess.thecvf.com/content/CVPR2024/papers/Zhao_Wavelet-based_Fourier_Information_Interaction_with_Frequency_Diffusion_Adjustment_for_Underwater_CVPR_2024_paper.pdf), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Wavelet-based+Fourier+Information+Interaction+with+Frequency+Diffusion+Adjustment+for+Underwater+Image+Restoration&btnG=), 2024. 263 | 264 | - **Vqcnir: Clearer night image restoration with vector-quantized codebook.** AAAI. ![](https://img.shields.io/badge/image%20restoration-pink)![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 265 | 266 | *Wenbin Zou, Hongxia Gao, Tian Ye, Liang Chen, Weipeng Yang, Shasha Huang, Hongshen Chen, Sixiang Chen.* [[pdf]](https://arxiv.org/pdf/2312.08606), [[github]](https://github.com/AlexZou14/VQCNIR), [[cite]](https://github.com/AlexZou14/VQCNIR), 2024. 267 | 268 | - **Harnessing joint rain-/detail-aware representations to eliminate intricate rains.** ICLR. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 269 | 270 | *Wu Ran, Peering Ma, Zhiquan He, Hao Ren, Hong Lu.* [[pdf]](https://openreview.net/pdf?id=pdJXYfJjz9), [[github]](https://github.com/Schizophreni/CoIC), [[cite]](https://github.com/Schizophreni/CoIC), 2024. 271 | 272 | - **Multimodal Prompt Perceiver: Empower Adaptiveness, Generalizability and Fidelity for All-in-One Image Restoration. ** CVPR. ![](https://img.shields.io/badge/image%20restoration-pink) 273 | 274 | *Yuang Ai, Huaibo Huang, Xiaoqiang Zhou, Jiexiang Wang, Ran He.* [[pdf]](https://arxiv.org/abs/2312.02918) [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Multimodal+Prompt+Perceiver%3A+Empower+Adaptiveness%2C+Generalizability+and+Fidelity+for+All-in-One+Image+Restoration.+&btnG=), 2024. 275 | 276 | - **Scaling up to excellence: practicing model scaling for photo-realistic image restoration in the wild.** CVPR. ![](https://img.shields.io/badge/image%20restoration-pink) ![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 277 | 278 | *Fanghua Yu, Jinjin Gu, Zheyuan Li, Jinfan Hu, Xiangtao Kong, Xintao Wang, Jingwen He, Yu Qiao, Chao Dong.* [[pdf]](https://arxiv.org/abs/2401.13627), [[github]](https://github.com/Fanghua-Yu/SUPIR), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=+Scaling+Up+to+Excellence%3A+Practicing+Model+Scaling+for+Photo-Realistic+Image+Restoration+In+the+Wild&btnG=), 2024. 279 | 280 | 17. **Event-aware video deraining via multi-patch progressive learning.** TIP. ![](https://img.shields.io/badge/video-orange) ![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 281 | 282 | *Shangquan Sun, Wenqi Ren, Jingzhi Li, Kaihao Zhang, Meiyu Liang, and Xiaochun Cao* [[pdf]](https://ieeexplore.ieee.org/abstract/document/10122854) [[github]](https://github.com/sunsean21/Event-Aware-Video-Deraining)[[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Event-Aware+Video+Deraining+via+Multi-Patch+Progressive+Learning&btnG=) 283 | 284 | 18. **Promptir: Prompting for all-in-one blind image restoration.** NIPS. ![](https://img.shields.io/badge/image%20restoration-pink) ![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 285 | 286 | *Vaishnav Potlapalli, Syed Waqas Zamir, Salman Khan, Fahad Shahbaz Khan.* [[pdf]](https://arxiv.org/abs/2306.13090), [[github]](https://github.com/va1shn9v/PromptIR), [[cite]](https://scholar.google.com/scholar?cluster=3573533152741290826&hl=en&as_sdt=0,5), 2023. 287 | 288 | 19. **Promptrestorer: A prompting image restoration method with degradation perception** NIPS. ![](https://img.shields.io/badge/image%20restoration-pink) 289 | 290 | *Cong Wang, Jinshan Pan, Wei Wang, Jiangxin Dong, Mengzhu Wang, Yakut Ju, Junyang Chen.* [[pdf]](https://proceedings.neurips.cc/paper_files/paper/2023/hash/1c364d98a5cdc426fd8c76fbb2c10e34-Abstract-Conference.html), [[github]](https://github.com/supersupercong/PromptRestorer), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=PromptRestorer%3A+A+Prompting+Image+Restoration+Method+with+Degradation+Perception&btnG=), 2023. 291 | 292 | 20. **From Sky to the Ground: A Large-scale Benchmark and Simple Baseline Towards Real Rain Removal.** ICCV. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 293 | 294 | *Yun Guo, Xueyao Xiao, Yi Chang, Shumin Deng, and Luxin Yan.* [[pdf]](https://openaccess.thecvf.com/content/ICCV2023/papers/Guo_From_Sky_to_the_Ground_A_Large-scale_Benchmark_and_Simple_ICCV_2023_paper.pdf), [[github]](https://github.com/yunguo224/LHP-Rain), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=From+Sky+to+the+Ground%3A+A+Large-scale+Benchmark+and+Simple+Baseline+Towards+Real+Rain+Removal&btnG=), 2023. 295 | 296 | 21. **TPSeNCE: Towards Artifact-Free Realistic Rain Generation for Deraining and Object Detection in Rain.** WACV. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 297 | 298 | *Shen Zheng, Changjie Lu, and Srinivasa G. Narasimhan.* [[pdf]](https://openaccess.thecvf.com/content/WACV2024/papers/Zheng_TPSeNCE_Towards_Artifact-Free_Realistic_Rain_Generation_for_Deraining_and_Object_WACV_2024_paper.pdf), [[github]](https://github.com/ShenZheng2000/TPSeNCE), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=TPSeNCE%3A+Towards+Artifact-Free+Realistic+Rain+Generation+for+Deraining+and+Object+Detection+in+Rain&btnG=), 2024. 299 | 300 | 22. **Multi-weather image restoration via domain translation.** ICCV. ![](https://img.shields.io/badge/image%20restoration-pink) ![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 301 | 302 | *Prashant W.Patil, Sunil Gupta, Santu Rana, Svetha Venkatesh, and Subrahmanyam Murala.* [[pdf]](https://openaccess.thecvf.com/content/ICCV2023/papers/Patil_Multi-weather_Image_Restoration_via_Domain_Translation_ICCV_2023_paper.pdf), [[github]](https://github.com/pwp1208/Domain_Translation_Multi-weather_Restoration, [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=multi-weather+image+restoration+via+domain+translation&btnG=), 2023. 303 | 304 | 23. **Learning rain location prior for nighttime deraining.** ICCV. ![](https://img.shields.io/badge/single%20image-purple) 305 | 306 | *Fan Zhang, Shaodi You, Yu Li, and Ying Fu.* [[pdf]](https://openaccess.thecvf.com/content/ICCV2023/papers/Zhang_Learning_Rain_Location_Prior_for_Nighttime_Deraining_ICCV_2023_paper.pdf), [[github]](https://github.com/zkawfanx/RLP2023), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Learning+Rain+Location+Prior+for+Nighttime+Deraining&btnG=), 2023. 307 | 308 | 24. **WeatherStream: light transport automation of single image deweathering** CVPR. ![](https://img.shields.io/badge/image%20restoration-pink) ![](https://img.shields.io/badge/project-blue) 309 | 310 | *Howard Zhang, Yunhao Ba, Ethan Yang, Varan Mehra, Blake Gella, Akira Suzuki, Arnold Pfahnl, Chethan Chinder Chandrappa, Alex Wong, and Achuta Kadambi.* [[pdf]](https://openaccess.thecvf.com/content/CVPR2023/papers/Zhang_WeatherStream_Light_Transport_Automation_of_Single_Image_Deweathering_CVPR_2023_paper.pdf), [[github]](https://github.com/UCLA-VMG/WeatherStream), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Light+Transport+Automation+of+Single+Image+Deweathering&btnG=#d=gs_cit&t=1696918174160&u=%2Fscholar%3Fq%3Dinfo%3AigEZ3PowRkUJ%3Ascholar.google.com%2F%26output%3Dcite%26scirp%3D0%26hl%3Den), 2023. 311 | 312 | 25. **Learning image deraining transformer network with dynamic dual self-attention.** arXiv. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/transformer-black) 313 | 314 | *Zhentao Fan, Hongming Chen, and Yufeng Li.* [[pdf]](https://arxiv.org/pdf/2308.07781.pdf), 2023. 315 | 316 | 26. **Sparse sampling transformer with uncertainty-driven ranking for unified removal of raindrops and rain streaks (UDR-S2Former)** ICCV. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/transformer-black) ![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 317 | 318 | *Sixiang Chen, Tian Ye, Jinbin Bai, Erkang Chen, Jun Shi, and Lei Zhu.* [[pdf]](https://arxiv.org/abs/2308.14153) [[github]](https://github.com/Ephemeral182/UDR-S2Former_deraining) [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Sparse+sampling+transformer+with+uncertainty-driven+ranking+for+unified+removal+of+raindrops+and+rain+streaks+%28UDR-S2Former%29&btnG=), 2023. 319 | 320 | 27. **Learning a sparse transformer network for effective image deraining (DRSformer)** CVPR. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/transformer-black) ![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 321 | 322 | *Xiang Chen, Hao Li, Mingqiang Li, and Jinshan Pan.* [[pdf]](https://openaccess.thecvf.com/content/CVPR2023/papers/Chen_Learning_a_Sparse_Transformer_Network_for_Effective_Image_Deraining_CVPR_2023_paper.pdf) [[github]](https://github.com/cschenxiang/DRSformer) [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=DRSformer&btnG=), 2023. 323 | 324 | 28. **Efficient and explicit modelling of image hierarchies for image restoration (GRL)** CVPR. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/transformer-black) ![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 325 | 326 | *Yawei Li, Yuchen Fan, Xiaoyu Xiang, Denis Demandolx et al.* [[pdf]](https://openaccess.thecvf.com/content/CVPR2023/papers/Li_Efficient_and_Explicit_Modelling_of_Image_Hierarchies_for_Image_Restoration_CVPR_2023_paper.pdf) [[github]](https://github.com/ofsoundof/GRL-Image- Restoration) [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Efficient+and+Explicit+Modelling+of+Image+Hierarchies+for+Image+Restoration&btnG=), 2023. 327 | 328 | 29. **SmartAssign: learning a smart knowledge assignment strategy for deraining and desnowing** CVPR. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/transformer-black) 329 | 330 | *Yinglong Wang, Chao Ma, and Jianzhuang Liu.* [[pdf]](https://openaccess.thecvf.com/content/CVPR2023/papers/Wang_SmartAssign_Learning_a_Smart_Knowledge_Assignment_Strategy_for_Deraining_and_CVPR_2023_paper.pdf) [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=smartassign&btnG=), 2023. 331 | 332 | 30. **Learning weather-general and weather-specific features for image restoration under multiple adverse weather conditions** CVPR. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 333 | 334 | *Zhu Yurui, Wang Tianyu, Fu Xueyang, Yang Xuanyu, Guo Xin, Dai Jifeng, Qiao Yu, and Hu Xiaowei.* [[github]](https://github.com/zhuyr97/WGWS-Net), 2023. 335 | 336 | 31. **Learning Distortion Invariant Representation for Image Restoration from A Causality Perspective** CVPR. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 337 | 338 | *Li Xin, Li Bingchen, Jin Xin, Lan Cuiling, and Chen Zhibo.*[[pdf]](https://arxiv.org/abs/2303.06859), [[github]](https://github.com/lixinustc/causal-IR-DIL), 2023. 339 | 340 | 32. **TRNR: Task-Driven Image Rain and Noise Removal With a Few Images Based on Patch Analysis** TIP. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 341 | 342 | *Ran Wu, Yang Bohong, Ma Peirong, and Lu Hong.* [[pdf]](https://ieeexplore.ieee.org/abstract/document/10007859), [[github]](https://github.com/Schizophreni/MSResNet-TRNR), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=TRNR%3A+task-driven+image+rain+and+noise+removal&btnG=), 2023. 343 | 344 | 33. **Memory Uncertainty Learning for Real-World Single Image Deraining.** TPAMI. ![](https://img.shields.io/badge/single%20image-purple) 345 | 346 | *Huang Huaibo, Luo Mandi, and He Ran.* [[pdf]](https://ieeexplore.ieee.org/abstract/document/9789487), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Memory+Uncertainty+Learning+for+Real-World+Single+Image+Deraining&btnG=), 2022. 347 | 348 | 34. **Dreaming to Prune Image Deraining Networks.** CVPR. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/prune/compression-yellow) 349 | 350 | *Zou Weiqi, Wang Yang, Fu Xueyang, and Cao Yang.* [[pdf]](https://openaccess.thecvf.com/content/CVPR2022/papers/Zou_Dreaming_To_Prune_Image_Deraining_Networks_CVPR_2022_paper.pdf), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Dreaming+to+Prune+Image+Deraining+Networks.+&btnG=), 2022. 351 | 352 | 35. **KNN Local Attention for Image Restoration. (KIT)** CVPR. ![](https://img.shields.io/badge/image%20restoration-pink) 353 | 354 | *Lee Hunsang, Choi Hyesong, Sohn Kwanghoon, and Min Dongbo.*[[pdf]](https://openaccess.thecvf.com/content/CVPR2022/papers/Lee_KNN_Local_Attention_for_Image_Restoration_CVPR_2022_paper.pdf), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=KNN+Local+Attention+for+Image+Restoration&btnG=), 2022. 355 | 356 | 36. **All-In-One Image Restoration for Unknown Corruption. (AirNet)** CVPR. ![](https://img.shields.io/badge/image%20restoration-pink)![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 357 | 358 | *Li Boyun, Liu Xiao, Hu Peng, Wu Zhongqin, Lv Jiancheng, and Peng Xi.* [[pdf]](https://openaccess.thecvf.com/content/CVPR2022/papers/Li_All-in-One_Image_Restoration_for_Unknown_Corruption_CVPR_2022_paper.pdf), [[github]](https://github.com/XLearning-SCU/2022-CVPR-AirNet), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=All-In-One+Image+Restoration+for+Unknown+Corruption&btnG=), 2022. 359 | 360 | 37. **TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditions. (TransWeather)** CVPR. ![](https://img.shields.io/badge/image%20restoration-pink) ![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/transformer-black) 361 | 362 | *Valanarasu Jeya Maria Jose, Yasarla Rajeev, and M. Patel Vishal.* [[pdf]](https://openaccess.thecvf.com/content/CVPR2022/papers/Valanarasu_TransWeather_Transformer-Based_Restoration_of_Images_Degraded_by_Adverse_Weather_Conditions_CVPR_2022_paper.pdf), [[github]](https://github.com/jeya-maria-jose/TransWeather), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=TransWeather%3A+Transformer-based+Restoration+of+Images+Degraded+by+Adverse+Weather+Conditions&btnG=), 2022. 363 | 364 | 38. **Deep Generalized Unfolding Networks for Image Restoration. (DGUNet)** CVPR. ![](https://img.shields.io/badge/image%20restoration-pink) ![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 365 | 366 | *Mou chong, Wang Qian, and Zhang Jian.*[[pdf]](https://openaccess.thecvf.com/content/CVPR2022/papers/Mou_Deep_Generalized_Unfolding_Networks_for_Image_Restoration_CVPR_2022_paper.pdf), [[github]](https://github.com/MC-E/Deep-Generalized-Unfolding-Networks-for-Image-Restoration), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Deep+Generalized+Unfolding+Networks+for+Image+Restoration&btnG=), 2022. 367 | 368 | 39. **Uformer: A General U-Shaped Transformer for Image Restoration. (Uformer)** CVPR. ![](https://img.shields.io/badge/image%20restoration-pink) ![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) ![](https://img.shields.io/badge/transformer-black) 369 | 370 | *Wang Zhendong, Cun Xiaodong, Bao Jianmin, Zhou Wengang, Liu Jianzhuang, and Li Houqiang.*[[pdf]](https://openaccess.thecvf.com/content/CVPR2022/papers/Wang_Uformer_A_General_U-Shaped_Transformer_for_Image_Restoration_CVPR_2022_paper.pdf), [[github]](https://github.com/ZhendongWang6/Uformer), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Uformer%3A+A+General+U-Shaped+Transformer+for+Image+Restoration&btnG=), 2022. 371 | 372 | 40. **Restormer: Efficient Transformer for High-Resolution Image Restoration. (Restormer)** CVPR. ![](https://img.shields.io/badge/image%20restoration-pink) ![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) ![](https://img.shields.io/badge/transformer-black) 373 | 374 | *Zamir Syed Waqas, Arora Aditya, Khan Salman, Hayat Munawar.*[[pdf]](https://openaccess.thecvf.com/content/CVPR2022/papers/Zamir_Restormer_Efficient_Transformer_for_High-Resolution_Image_Restoration_CVPR_2022_paper.pdf), [[github]](https://github.com/swz30/Restormer), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Restormer%3A+Efficient+Transformer+for+High-Resolution+Image+Restoration&btnG=), 2022. 375 | 376 | 41. **Unsupervised Deraining: Where Contrastive Learning Meets Self-similarity. (NLCL)** CVPR. ![](https://img.shields.io/badge/single%20image-purple) 377 | 378 | *Ye Yuntong, Yu Changfeng, Chang Yi, Zhu Lin, Zhao, Xi-le, Yan Luxin, and Tian Yonghong.*[[pdf]](https://openaccess.thecvf.com/content/CVPR2022/papers/Ye_Unsupervised_Deraining_Where_Contrastive_Learning_Meets_Self-Similarity_CVPR_2022_paper.pdf), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Unsupervised+Deraining%3A+Where+Contrastive+Learning+Meets+Self-similarity.+%28NLCL%29&btnG=), 2022. 379 | 380 | 42. **Online-updated High-order Collaborative Networks for Single Image Deraining. (HCNet)** AAAI. ![](https://img.shields.io/badge/single%20image-purple) 381 | 382 | *Wang Cong, Pan Jinshan, and Wu Xiao-Ming.* [[pdf]](https://arxiv.org/pdf/2202.06568.pdf), 2022. 383 | 384 | 43. **MAXIM: Multi-Axis MLP for Image Processing. （MAXIM)** CVPR. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 385 | 386 | *Zhengzhong Tu, Hossein Talebi, Han Zhang, Feng Yang, Peyman Milanar, Alan Bovik, and YinXiao Li*. [[pdf]](https://openaccess.thecvf.com/content/CVPR2022/papers/Tu_MAXIM_Multi-Axis_MLP_for_Image_Processing_CVPR_2022_paper.pdf), [[github]](https://github.com/vztu/maxim-pytorch), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=MAXIM%3A+Multi-Axis+MLP+for+Image+Processing&btnG=), 2022. 387 | 388 | 44. **Uncertainty Guided Multi-Scale Attention Network for Raindrop Removal From a Single Image.** TIP. ![](https://img.shields.io/badge/raindrop-purple) 389 | 390 | *Shao Ming-Wen, Li Le, Meng De-Yu, and Zuo Wang-Meng.* [[pdf]](https://ieeexplore.ieee.org/abstract/document/9423583/), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Uncertainty+Guided+Multi-Scale+Attention+Network+for+Raindrop+Removal+From+a+Single+Image&btnG=), 2021. 391 | 392 | 45. **Structure-Preserving Deraining with Residue Channel Prior Guidance. (SPDNet)** ICCV. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 393 | 394 | *Yi Qiaosi, Li Juncheng, Dai Qinyan, Fang Faming, Zhang Guixu, and Zeng Tieyong*. [[pdf]](https://junchenglee.com/paper/ICCV_2021.pdf), [[github]](https://github.com/Joyies/SPDNet), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Structure-Preserving+Deraining+with+Residue+Channel+Prior+Guidance&btnG=), 2021. 395 | 396 | 46. **Unpaired Learning for Deep Image Deraining With Rain Direction Regularizer** ICCV. ![](https://img.shields.io/badge/single%20image-purple) 397 | 398 | *Liu Yang, Yue Ziyu, Pan Jinshan, and Su Zhixun.* [[pdf]](https://openaccess.thecvf.com/content/ICCV2021/papers/Liu_Unpaired_Learning_for_Deep_Image_Deraining_With_Rain_Direction_Regularizer_ICCV_2021_paper.pdf), [[github]](https://github.com/Yueziyu/RainDirection-and-Real3000-Dataset), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Unpaired+Learning+for+Deep+Image+Deraining+with+Rain+Direction+Regularizer&btnG=), 2021. 399 | 400 | 47. **Spatially-Adaptive Image Restoration using Distortion-Guided Networks. (SPAIR)** ICCV. ![](https://img.shields.io/badge/single%20image-purple) 401 | 402 | *Purohit Kuldeep, Suin Maitreya, A.N. Rajagopalan, and Vishnu Naresh Boddeti.* [[pdf]](https://openaccess.thecvf.com/content/ICCV2021/papers/Purohit_Spatially-Adaptive_Image_Restoration_Using_Distortion-Guided_Networks_ICCV_2021_paper.pdf), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Spatially-Adaptive+Image+Restoration+using+Distortion-Guided+Networks&btnG=), 2021. 403 | 404 | 48. **Improving De-raining Generalization via Neural Reorganization. (NR)** ICCV. ![](https://img.shields.io/badge/single%20image-purple) 405 | 406 | *Xiao Jie, Zhou Man, Fu Xueyang, Liu Aiping, and Zha Zheng-Jun.* [[pdf]](https://openaccess.thecvf.com/content/ICCV2021/papers/Xiao_Improving_De-Raining_Generalization_via_Neural_Reorganization_ICCV_2021_paper.pdf) [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=https%3A%2F%2Fopenaccess.thecvf.com%2Fcontent%2FICCV2021%2Fpapers%2FXiao_Improving_De-Raining_Generalization_via_Neural_Reorganization_ICCV_2021_paper.pdf&btnG=#d=gs_cit&u=%2Fscholar%3Fq%3Dinfo%3AH14kj_iZ88cJ%3Ascholar.google.com%2F%26output%3Dcite%26scirp%3D0%26hl%3Den), 2021. 407 | 408 | 49. **Memory Oriented Transfer Learning for Semi-Supervised Image Deraining. (MOSS)** CVPR. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/project-blue)![](https://img.shields.io/badge/pre%20train-green) 409 | 410 | *Huang Huaibo, Yu Aijing, and He Ran.* [[pdf]](https://openaccess.thecvf.com/content/CVPR2021/papers/Huang_Memory_Oriented_Transfer_Learning_for_Semi-Supervised_Image_Deraining_CVPR_2021_paper.pdf), [[github]](https://github.com/hhb072/MOSS), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=+Memory+Oriented+Transfer+Learning+for+Semi-Supervised+Image+Deraining&btnG=), 2021. 411 | 412 | 50. **Robust Representation Learning with Feedback for Single Image Deraining. (RLNet)** CVPR. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/project-blue) 413 | 414 | *Chen Chenghao, and Li Hao.* [[pdf]](https://openaccess.thecvf.com/content/CVPR2021/papers/Chen_Robust_Representation_Learning_With_Feedback_for_Single_Image_Deraining_CVPR_2021_paper.pdf) [[github]](https://github.com/LI-Hao-SJTU/DerainRLNet) [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Robust+Representation+Learning+with+Feedback+for+Single+Image+Deraining&btnG=), 2021. 415 | 416 | 51. **Image De-raining via Continual Learning. (PIGWM)** CVPR. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/project-blue) 417 | 418 | *Zhou Man, Xiao Jie, Chang Yifan, Fu Xueyang, Liu Aiping, Pan Jinshan, and Zha Zheng-Jun.* [[pdf]](https://openaccess.thecvf.com/content/CVPR2021/papers/Zhou_Image_De-Raining_via_Continual_Learning_CVPR_2021_paper.pdf) [[github]](https://github.com/unpairdenosie/Image-Deraining-via-Continual-Learning) [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Image+De-raining+via+Continual+Learning&btnG=), 2021. 419 | 420 | 52. **Removing Raindrops and Rain Streaks in One Go. (CCN)** CVPR. ![](https://img.shields.io/badge/single%20image-purple) 421 | 422 | *Quan Ruijie, Yu Xin, Liang Yuanzhi, and Yang Yi*. [[pdf]](https://openaccess.thecvf.com/content/CVPR2021/papers/Quan_Removing_Raindrops_and_Rain_Streaks_in_One_Go_CVPR_2021_paper.pdf), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=**Removing+Raindrops+and+Rain+Streaks+in+One+Go&btnG=), 2021. 423 | 424 | 53. **Multi-Stage Progressive Image Restoration. (MPRNet)** CVPR. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 425 | 426 | *Zamir Syed Waqas, Arora Aditya, Khan Salman, Hayat Munawar, Khan Fahad Shabaz, Yang Ming-Hsuan, and Shao Ling.* [[pdf]](https://openaccess.thecvf.com/content/CVPR2021/papers/Zamir_Multi-Stage_Progressive_Image_Restoration_CVPR_2021_paper.pdf), [[github]](https://github.com/swz30/MPRNet), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Multi-Stage+Progressive+Image+Restoration&btnG=), 2021. 427 | 428 | 54. **Rain Streak Removal via Dual Graph Convolutional Network. (DualGCN)** AAAI. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/project-blue) 429 | 430 | *Fu Xueyang, Qi Qi, Zha Zheng-Jun, Zhu Yurui, and Ding Xinghao*. [[pdf]](https://www.aaai.org/AAAI21Papers/AAAI-228.FuXY.pdf), [[github]](https://xueyangfu.github.io/paper/2021/AAAI/code.zip), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Rain+Streak+Removal+via+Dual+Graph+Convolutional+Network.&btnG=), 2021. 431 | 432 | 55. **Pre-Trained Image Processing Transformer. (IPT)** CVPR. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/transformer-black) 433 | 434 | *Chen Hanting, Wang Yunhe, Guo Tianyu, Xu Chang, Deng Yipeng, Liu Zhenhua, Ma Siwei, Xu Chunjing, Xu Chao, and Gao Wen*. [[pdf]](https://arxiv.org/pdf/2012.00364.pdf), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Pre-Trained+Image+Processing+Transformer&btnG=), 2021. 435 | 436 | 56. **Unpaired Adversarial Learning for Single Image Deraining with Rain-Space Contrastive Constraints. (CDR-GAN)** arXiv. ![](https://img.shields.io/badge/single%20image-purple) 437 | 438 | *Chen Xiang, Pan Jinshan, Jiang Kui, Huang Yufeng, Kong Caihua, Dai Longgang, and Li Yufeng.*[[pdf]](https://arxiv.org/abs/2109.02973), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Unpaired+adversarial+learning+for+single+image+deraining+with+rain-space+contrastive+constraints.&btnG=#d=gs_cit&u=%2Fscholar%3Fq%3Dinfo%3Am1qUPIuQEkcJ%3Ascholar.google.com%2F%26output%3Dcite%26scirp%3D0%26hl%3Den), 2021. 439 | 440 | 57. **SDNET: Multi-Branch for Single Image Deraining Using Swin. (SDNet).** arXiv. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/transformer-black) 441 | 442 | *Tan Fuxiang, Kong Yuting, Fan Yingying, Liu Feng, Zhou Daxin, Zhang Hao, Chen Long, and Gao Liang.* [[pdf]](https://arxiv.org/pdf/2105.15077.pdf), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=SDNET%3A+Multi-branch+for+single+image+deraining+using+swin&btnG=), 2021. 443 | 444 | 58. **Rain Removal and Illumination Enhancement Done in One Go. (EMNet)** arXiv. ![](https://img.shields.io/badge/single%20image-purple) 445 | 446 | *Wan Yecong, Cheng Yuanshuo, and Shao Mingwen.*[[pdf]](https://arxiv.org/abs/2108.03873), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Rain+Removal+and+Illumination+Enhancement+Done+in+One+Go&btnG=), 2021. 447 | 448 | 59. **Blind Image Decomposition. (BID)** arXiv. ![](https://img.shields.io/badge/single%20image-purple) 449 | 450 | *Han Junlin, Li Weihao, Fang Pengfei, Sun Chunyi, Hong Jie, Mohammad Ali Armin, Lars Petersson, and Li Hongdong.* [[pdf]](https://arxiv.org/abs/2108.11364), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Blind+image+decomposition&btnG=), 2021. 451 | 452 | 60. **Self-Learning Video Rain Streak Removal: When Cyclic Consistency Meets Temporal Correspondence. (SLDNet)** CVPR. ![](https://img.shields.io/badge/video-orange) 453 | 454 | *Yang Wenhan, T. Tan Robby, Wang Shiqi, and Liu Jiaying.*[[pdf]](https://openaccess.thecvf.com/content_CVPR_2020/papers/Yang_Self-Learning_Video_Rain_Streak_Removal_When_Cyclic_Consistency_Meets_Temporal_CVPR_2020_paper.pdf) [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Self-Learning+Video+Rain+Streak+Removal%3A+When+Cyclic+Consistency+Meets+Temporal+Correspondence&btnG=), 2020. 455 | 456 | 61. **All in One Bad Weather Removal using Architectural Search. (NAS)** CVPR. ![](https://img.shields.io/badge/single%20image-purple) 457 | 458 | *Li Ruoteng, T. Tan Robby, and Cheong Looeng-Fah.*[[pdf]](https://openaccess.thecvf.com/content_CVPR_2020/papers/Li_All_in_One_Bad_Weather_Removal_Using_Architectural_Search_CVPR_2020_paper.pdf) [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=All+in+One+Bad+Weather+Removal+using+Architectural+Search&btnG=), 2020. 459 | 460 | 62. **Wavelet-based dual-branch network for image demoiréing. (WDNet)** ECCV. ![](https://img.shields.io/badge/single%20image-purple) 461 | 462 | *Liu Lin, Liu Jianzhuang, Yuan Shanxin, Slabaugh Gregory, Leonardis Ales, Zhou Wengang, and Tian Qi.*[[pdf]](https://link.springer.com/chapter/10.1007%2F978-3-030-58601-0_6) [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Wavelet-based+dual-branch+network+for+image+demoir%C3%A9ing&btnG=), 2020. 463 | 464 | 63. **Rethinking Image Deraining via Rain Streaks and Vapors. (S-V-ANet)** ECCV. ![](https://img.shields.io/badge/single%20image-purple) 465 | 466 | *Wang Yinglong, Song Yibing, Ma Chao, and Zeng Bing.* [[pdf]](https://arxiv.org/pdf/2008.00823.pdf) [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Rethinking+Image+Deraining+via+Rain+Streaks+and+Vapors&btnG=), 2020. 467 | 468 | 64. **Joint Self-Attention and Scale-Aggregation for Self-Calibrated Deraining Network. (JDNet)** ACM'MM. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 469 | 470 | *Wang Cong, Wu Yutong, Su Zhixun, and Chen Junyang.* [[pdf]](https://arxiv.org/pdf/2008.02763.pdf) [[github]](https://github.com/Ohraincu/JDNet) [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Joint+Self-Attention+and+Scale-Aggregation+for+Self-Calibrated+Deraining+Network&btnG=), 2020. 471 | 472 | 65. **DCSFN: Deep Cross-scale Fusion Network for Single Image Rain Removal. (DCSFN)** ACM'MM. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 473 | 474 | *Wang Cong, Xing Xiaoying, Su Zhixun, and Chen Junyang.*[[pdf]](https://arxiv.org/pdf/2008.00767.pdf) [[github]](https://github.com/Ohraincu/DCSFN) [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=DCSFN%3A+Deep+Cross-scale+Fusion+Network+for+Single+Image+Rain+Removal.&btnG=), 2020. 475 | 476 | 66. **Conditional Variational Image Deraining. (CVID)** TIP. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/project-blue) 477 | 478 | *Du Yingjun, Xu Jun, Zhen Xiantong, Cheng Ming-Ming, and Shao Ling.* [[pdf]](file:///D:/Education/Papers/derain/conditional_variational_image_deraining.pdf) [[github]](https://github.com/Yingjun-Du/VID) [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Conditional+variational+image+deraining&btnG=), 2020. 479 | 480 | 67. **Variational Image Deraining. (VID)** WACV. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/project-blue) 481 | 482 | *Du Yingjun, Xun Jun, Qiu Qiang, Zhen Xiantong, and Zhang Lei.*[[pdf]](https://openaccess.thecvf.com/content_WACV_2020/papers/Du_Variational_Image_Deraining_WACV_2020_paper.pdf) [[github]](https://github.com/Yingjun-Du/VID) [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=variational+image+deraining&btnG=&oq=Variational+Image+Derai), 2020. 483 | 484 | 68. **Detail-recovery Image Deraining via Context Aggregation Networks. (DRD-Net)** CVPR. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/project-blue) 485 | 486 | *Deng Sen, Wei Mingqiang, Wang Jun, Feng Yidan, Liang Luming, Xie Haoran, Wang Fu Lee, and Wang Meng.* [[pdf]](https://openaccess.thecvf.com/content_CVPR_2020/papers/Deng_Detail-recovery_Image_Deraining_via_Context_Aggregation_Networks_CVPR_2020_paper.pdf) [[github]](https://github.com/Dengsgithub/DRD-Net) [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Detail-recovery+Image+Deraining+via+Context+Aggregation+Networks&btnG=), 2020. 487 | 488 | 69. **Physical Model Guided Deep Image Deraining.** ICME. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/project-blue) 489 | 490 | *Zhu Honghe, Wang Cong, Zhang Yajie, Su Zhixun, and Zhao Guohui.* [[pdf]](https://arxiv.org/pdf/2003.13242.pdf) [[github]](https://github.com/Ohraincu/PHYSICAL-MODEL-GUIDED-DEEP-IMAGE-DERAINING) [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Physical+Model+Guided+Deep+Image+Deraining.&btnG=), 2020. 491 | 492 | 70. **RDDAN: A Residual Dense Dilated Aggregated Network for Single Image Deraining. (RDDAN)** ICME. ![](https://img.shields.io/badge/single%20image-purple) 493 | 494 | *Yang Youzhao, Ran Wu, and Lu Hong.* [[pdf]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9102945) [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=RDDAN%3A+A+Residual+Dense+Dilated+Aggregated+Network+for+Single+Image+Deraining.&btnG=), 2020. 495 | 496 | 71. **Confidence Measure Guided Single Image De-Raining. (QuDec)** TIP. ![](https://img.shields.io/badge/single%20image-purple) 497 | 498 | *Yasarla Rajeev, and M. Patel Vishal.* [[pdf]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9007569) [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Confidence+Measure+Guided+Single+Image+De-Raining&btnG=), 2020. 499 | 500 | 72. **A Coarse-to-Fine Multi-stream Hybrid Deraining Network for Single Image Deraining. (MH-DerainNet)** ICDM. ![](https://img.shields.io/badge/single%20image-purple) 501 | 502 | *Wei Yanyan, Zhang Zhao, Zhang Haijun, Hong Richang, and Wang Meng.* [[pdf]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8970838) [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=A+Coarse-to-Fine+Multi-stream+Hybrid+Deraining+Network+for+Single+Image+Deraining&btnG=), 2019. 503 | 504 | 73. **ERL-Net: Entangled Representation Learning for Single Image De-Raining. (ERL-Net)** ICCV. ![](https://img.shields.io/badge/single%20image-purple) 505 | 506 | *Wang Guoqing, Sun Changming, and Sowmya Acrot.* [[pdf]](https://openaccess.thecvf.com/content_ICCV_2019/papers/Wang_ERL-Net_Entangled_Representation_Learning_for_Single_Image_De-Raining_ICCV_2019_paper.pdf) [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=ERL-Net%3A+Entangled+Representation+Learning+for+Single+Image+De-Raining&btnG=), 2019. 507 | 508 | 74. **DTDN: Dual-task de-raining network. (DTDN)** ACM'MM. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 509 | 510 | *Wang Zheng, Li Jianwu, and Song Ge.* [[pdf]](https://arxiv.org/pdf/2008.09326.pdf), [[github]](https://github.com/long-username/DTDN-DTDN-Dual-task-De-raining-Network), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=DTDN%3A+Dual-task+Training+Network&btnG=), 2019. 511 | 512 | 75. **Gradual Network for Single Image De-raining. (GraNet)** ACM'MM. ![](https://img.shields.io/badge/single%20image-purple) 513 | 514 | *Yu Weijiang, Huang Zhe, Zhang Wayne, Feng Litong, and Xiao Nong.* [[pdf]](https://arxiv.org/pdf/1909.09677.pdf), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Gradual+Network+for+Single+Image+De-raining&btnG=), 2019. 515 | 516 | 76. **An Effective Two-Branch Model-Based Deep Network for Single Image Deraining. (AMPE-Net)** arXiv. ![](https://img.shields.io/badge/single%20image-purple) 517 | 518 | *Wang Yinglong, Gong Dong, Yang Jie, Shi Qinfeng, Anton van den Hengel, Xie Dehua, and Zeng Bing.* [[pdf]](https://arxiv.org/pdf/1905.05404.pdf), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=An+Effective+Two-Branch+Model-Based+Deep+Network+for+Single+Image+Deraining&btnG=#d=gs_cit&u=%2Fscholar%3Fq%3Dinfo%3AN5oEFLEcteoJ%3Ascholar.google.com%2F%26output%3Dcite%26scirp%3D0%26hl%3Den), 2019. 519 | 520 | **** 521 | 522 | #### Generative Model 523 | 524 | 1. **Unpaired Deep Image Deraining Using Dual Contrastive Learning. (DCD-GAN)** CVPR. ![](https://img.shields.io/badge/single%20image-purple) 525 | 526 | *Chen Xiang, Pan Jinshan, Jiang Kui, Li Yufeng, Huang Yufeng, Kong Caihua, Dai Longgang, and Fan Zhentao.* [[homepage]](https://cxtalk.github.io/projects/DCD-GAN.html#). 527 | 528 | 2. **Semi-Supervised Video Deraining with Dynamical Rain Generator. (S2VD)** CVPR. ![](https://img.shields.io/badge/video-orange) ![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 529 | 530 | *Yue Zongsheng, Xie Jianwen, Zhao Qian, and Meng Deyu*. [[pdf]](https://openaccess.thecvf.com/content/CVPR2021/papers/Yue_Semi-Supervised_Video_Deraining_With_Dynamical_Rain_Generator_CVPR_2021_paper.pdf), [[github]](https://github.com/zsyOAOA/S2VD), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Semi-Supervised+Video+Deraining+with+Dynamical+Rain+Generator&btnG=), 2021. 531 | 532 | 3. **Closing the Loop: Joint Rain Generation and Removal via Disentangled Image Translation. (JRGR)** CVPR. ![](https://img.shields.io/badge/single%20image-purple) 533 | 534 | *Ye yuntong, Chang Yi, Zhou Hanyu, and Yan Luxin*. [[pdf]](https://openaccess.thecvf.com/content/CVPR2021/papers/Ye_Closing_the_Loop_Joint_Rain_Generation_and_Removal_via_Disentangled_CVPR_2021_paper.pdf), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Closing+the+Loop%3A+Joint+Rain+Generation+and+Removal+via+Disentangled+Image+Translation&btnG=), 2021. 535 | 536 | 4. **From Rain Generation to Rain Removal. (VRGNet)** CVPR. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 537 | 538 | *Wang Hong, Yue Zongsheng, Xie Qi, Zhao Qian, Zheng Yefeng, and Meng Deyu*. [[pdf]](https://openaccess.thecvf.com/content/CVPR2021/papers/Ni_Controlling_the_Rain_From_Removal_to_Rendering_CVPR_2021_paper.pdf), [[github]](https://github.com/hongwang01/VRGNet), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=From+Rain+Generation+to+Rain+Removal.+&btnG=), 2021. 539 | 540 | 5. **Controlling the Rain: from Removal to Rendering. (RICNet)** CVPR. ![](https://img.shields.io/badge/single%20image-purple) 541 | 542 | *Ni Siqi, Cao Xueyun, Yue Tao, and Hu Xuemei*. [[pdf]](https://openaccess.thecvf.com/content/CVPR2021/papers/Ni_Controlling_the_Rain_From_Removal_to_Rendering_CVPR_2021_paper.pdf), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Controlling+the+Rain%3A+from+Removal+to+Rendering&btnG=), 2021. 543 | 544 | 6. **Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models. (WeatherDiff)** TPAMI. ![](https://img.shields.io/badge/image%20restoration-pink)![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) ![](https://img.shields.io/badge/diffusion%20model-cyan) 545 | 546 | *Ozan Ozdenizci, and Robert Legenstein*. [[pdf]](https://ieeexplore.ieee.org/abstract/document/10021824), [[github]](https://github.com/IGITUGraz/WeatherDiffusion), [[cite]](https://scholar.google.com/scholar?hl=zh-CN&as_sdt=0%2C5&q=Restoring+Vision+in+Adverse+Weather+Conditions+with+Patch-Based+Denoising+Diffusion+Models&btnG=), 2023. 547 | 548 | 7. **RainDiffusion: When Unsupervised Learning Meets Diffusion Models for Real-world Image Deraining. (RainDiffusion)** arXiv. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/diffusion%20model-cyan) 549 | 550 | *Wei Mingqiang, Shen Yiwang, Wang Yongzheng, Xie Haoran, Qin Jing, and Wang Fu Lee*. [[pdf]](https://arxiv.org/pdf/2301.09430.pdf), 2023. 551 | 552 | #### Recurrent Model 553 | 554 | 1. **Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyond.** CVPR. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 555 | 556 | *Yu Li, Yang Wenhan, Tan Yap-Peng, and C. Kot Alex.*[[pdf]](https://openaccess.thecvf.com/content/CVPR2022/papers/Yu_Towards_Robust_Rain_Removal_Against_Adversarial_Attacks_A_Comprehensive_Benchmark_CVPR_2022_paper.pdf), [[github]](https://github.com/yuyi-sd/Robust_Rain_Removal), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Towards+Robust+Rain+Removal+Against+Adversarial+Attacks%3A+A+Comprehensive+Benchmark+Analysis+and+Beyond&btnG=), 2022. 557 | 558 | 2. **Multi-Scale Progressive Fusion Network for Single Image Deraining.** CVPR. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 559 | 560 | *Jiang Kui, Wang Zhongyuan, Yi Peng, and Chen Chen.* [[pdf]](https://arxiv.org/pdf/2003.10985.pdf) [[github]](https://github.com/kuijiang0802/MSPFN) [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Multi-Scale+Progressive+Fusion+Network+for+Single+Image+Deraining.&btnG=), 2020. 561 | 562 | 3. **Single Image Deraining Using Bilateral Recurrent Network. (BRN)** TIP. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 563 | 564 | *Ren Dongwei, Shang wei, Zhu Pengfei, Hu Qinghua, Meng Deyu, and Zuo Wangmeng.* [[pdf]](https://csdwren.github.io/papers/2020_tip_BRN.pdf), [[github]](https://github.com/csdwren/RecDerain), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Single+Image+Deraining+Using+Bilateral+Recurrent+Network&btnG=), 2020. 565 | 566 | 4. **Single Image Deraining via Recurrent Hierarchy and Enhancement Network. (ReHEN)** ACM'MM. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 567 | 568 | *Yang Youzhao, and Lu Hong.* [[pdf]](https://dl.acm.org/doi/10.1145/3343031.3351149#URLTOKEN#) [[github]](https://github.com/nnUyi/ReHEN) [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Single+Image+Deraining+via+Recurrent+Hierarchy+Enhancement+Network&btnG=), 2019. 569 | 570 | 5. **Single Image Deraining using a Recurrent Multi-scale Aggregation and Enhancement Network. (ReMAEN)** ICME. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/pre%20train-green) 571 | 572 | *Yang Youzhao, and Lu Hong.* [[pdf]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8784948) [[github]](https://github.com/nnUyi/ReMAEN) [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Single+Image+Deraining+using+a+Recurrent+Multi-scale+Aggregation+and+Enhancement+Network&btnG=), 2019. 573 | 574 | 575 | 576 | ### Prior Based 577 | 578 | 1. **Single Image Rain Removal Boosting via Directional Gradient. (DiG-CoM)** ICME. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/project-blue) 579 | 580 | *Ran Wu, Yang Youzhao, Lu Hong.* [[pdf]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9102800) [[github]](https://github.com/Schizophreni/Set-vanish-to-the-rain) [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Single+Image+Rain+Removal+Boosting+via+Directional+Gradient&btnG=), 2020. 581 | 582 | ### Hybrid 583 | 584 | 1. **Unsupervised Image Deraining Optimization Model Driven Deep CNN. (UDGNet)** ACM'MM. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 585 | 586 | *Yu Changfeng, Chang Yi, Li Yi, Zhao Xile, and Yan Luxin*. [[pdf]](https://owuchangyuo.github.io/files/UDGNet.pdf), [[github]](https://github.com/ChangfengYu-Hust/UDGNet), [[cite]](https://scholar.google.com.hk/scholar?hl=zh-CN&as_sdt=0%2C5&q=Unsupervised+Image+Deraining+Optimization+Model+Driven+Deep+CNN&btnG=), 2021. 587 | 588 | 2. **A Model-driven Deep Neural Network for Single Image Rain Removal. (RCDNet)** CVPR. ![](https://img.shields.io/badge/single%20image-purple)![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 589 | 590 | *Wang Hong, Xie Qi, Zhao Qian, and Meng Deyu.* [[pdf]](https://openaccess.thecvf.com/content_CVPR_2020/papers/Wang_A_Model-Driven_Deep_Neural_Network_for_Single_Image_Rain_Removal_CVPR_2020_paper.pdf) [[github]](https://github.com/hongwang01/RCDNet) [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=A+Model-driven+Deep+Neural+Network+for+Single+Image+Rain+Removal&btnG=), 2020. 591 | 592 | 3. **Syn2Real Transfer Learning for Image Deraining using Gaussian Processes. (Syn2Real)** CVPR. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/project-blue) ![](https://img.shields.io/badge/pre%20train-green) 593 | 594 | *Yasarla Rajeev, A. Sindagi Vishwanath, and M. Patel Vishal.* [[pdf]](https://arxiv.org/pdf/2006.05580.pdf) [[github]](https://github.com/rajeevyasarla/Syn2Real) [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Syn2Real+Transfer+Learning+for+Image+Deraining+using+Gaussian+Processes.+&btnG=), 2020. 595 | 596 | 4. **Scale-Free Single Image Deraining Via VisibilityEnhanced Recurrent Wavelet Learning. (RWL)** TIP. ![](https://img.shields.io/badge/single%20image-purple) 597 | 598 | *Yang Wenhan, Liu Jiaying, Yang Shuai, and Guo Zongming.* [[pdf]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8610325) [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Scale-Free+Single+Image+Deraining+Via+Visibility%02Enhanced+Recurrent+Wavelet+Learnin&btnG=), 2019. 599 | 600 | ### High Level 601 | 602 | 1. **Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions** arXiv. ![](https://img.shields.io/badge/single%20image-purple)![](https://img.shields.io/badge/project-blue)![](https://img.shields.io/badge/pre%20train-green) 603 | 604 | *Liu Wenyu, Ren Gaofeng, Yu Runsheng, Guo Shi, Zhu Jianke, and Zhang Lei.* [[pdf]](https://arxiv.org/pdf/2112.08088.pdf), [[github]](https://github.com/wenyyu/Image-Adaptive-YOLO), [[cite]](https://scholar.google.com.hk/scholar?hl=zh-CN&as_sdt=0%2C5&q=Image-Adaptive+YOLO+for+Object+Detection+in+Adverse+Weather+Conditions&btnG=), 2022. 605 | 606 | 2. **RaidaR: a rich annotated image dataset of rainy street scenes. (RaidaR)** arXiv. ![](https://img.shields.io/badge/single%20image-purple) 607 | 608 | *Jin Jiongchao, Fatemi Arezou, Lira Wallace, Yu Fenggen, Leng Biao, Ma Rui, Ali Mahdavi-Amiri, and Zhang Hao.* [[pdf]](https://arxiv.org/abs/2104.04606), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=RaidaR%3A+a+rich+annotated+image+dataset+of+rainy+street+scenes&btnG=), 2021. 609 | 610 | 3. **Beyond Monocular Deraining: Stereo Image Deraining via Semantic Understanding. (PRRNet)** ECCV. ![](https://img.shields.io/badge/single%20image-purple) 611 | 612 | *Zhang Kaihao, Luo Wenhan, Ren Wenqi, Wang Jingwen, Zhao Fang, Ma Lin, and Li Hongdong*. [[pdf]]([123720069.pdf (ecva.net)](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123720069.pdf)), [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Beyond+Monocular+Deraining%3A+Stereo+Image+Deraining+via+Semantic+Understanding&btnG=), 2020. 613 | 614 | 4. **ForkGAN: Seeing into the Rainy Night. (ForkGAN)** ECCV. ![](https://img.shields.io/badge/single%20image-purple) ![](https://img.shields.io/badge/project-blue) 615 | 616 | *Zheng Ziqiang, Wu Yang, Han Xinran, and Shi Jianbo.*[[pdf]](https://link.springer.com/chapter/10.1007%2F978-3-030-58580-8_10) [[github]](https://github.com/zhengziqiang/ForkGAN) [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=**ForkGAN%3A+Seeing+into+the+Rainy+Night&btnG=), 2020. 617 | 618 | 5. **RainFlow: Optical Flow under Rain Streaks and Rain Veiling Effect. (RainFlow)** ICCV. ![](https://img.shields.io/badge/single%20image-purple) 619 | 620 | *Li Ruoteng, T. Tan Robby, Cheong Loong-Fah, I. Aviles-Rivero Angelica, Fan Qingnan, and Schonlieb Carola-Bibiane.* [[pdf]](https://fqnchina.github.io/QingnanFan_files/iccv_2019.pdf) [[cite]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=RainFlow%3A+Optical+Flow+under+Rain+Streaks+and+Rain+Veiling+Effect&btnG=), 2019. 621 | 622 | 623 | ## Other Contributors 624 | --------------------------------------------------------------------------------