Image De-raining papers

Must-read papers on Image de-raining which include recent prior based and learning based methods. The paper list is mainly maintained by Schizophreni. We have merged the paper listed in 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.

Contents

• Image de-raining papers
  • Contents
  • Introduction
  • Papers
    • Survey
    • Learning based
      • Linear Decompostion
      • Generative Model
      • Recurrent Model
    • Prior Based
    • Hybrid
    • Image de-raining meets high level vision
  • Other Contributors

Introduction

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.

Papers

Survey

1. Single Image Deraining: From Model-Based to Data-Driven and Beyond. TPAMI.

   Yang Wenhan, T. Tan Robby, Wang Shiqi, Fang Yuming, and Liu Jiaying. [pdf], [cite], 2020.

2. A Survey on Rain Removal from Video and Single Image. arXiv.

   Wang Hong, Wu Yichen, Li Minghan, Zhao Qian, and Meng Deyu. [pdf] [cite], 2019.

Learning Based

Linear Decomposition

1. Structure-Preserving Deraining with Residue Channel Prior Guidance. (SPDNet) ICCV.

   Yi Qiaosi, Li Juncheng, Dai Qinyan, Fang Faming, Zhang Guixu, and Zeng Tieyong. [pdf], [github], [cite], 2021.

2. Improving De-raining Generalization via Neural Reorganization. (NR) ICCV.

   Xiao Jie, Zhou Man, Fu Xueyang, Liu Aiping, and Zha Zheng-Jun. [pdf] [cite], 2021.

3. Image De-raining via Continual Learning. (PIGWN) CVPR.

   Zhou Man, Xiao Jie, Chang Yifan, Fu Xueyang, Liu Aiping, Pan Jinshan, and Zha Zheng-Jun. [pdf] [cite], 2021.

4. Removing Raindrops and Rain Streaks in One Go. (CCN) CVPR.

   Quan Ruijie, Yu Xin, Liang Yuanzhi, and Yang Yi. [pdf], [cite], 2021.

5. Rain Streak Removal via Dual Graph Convolutional Network. (DualGCN) AAAI.

   Fu Xueyang, Qi Qi, Zha Zheng-Jun, Zhu Yurui, and Ding Xinghao. [pdf], [github], [cite], 2021.

6. Pre-Trained Image Processing Transformer. (IPT) CVPR.

   Chen Hanting, Wang Yunhe, Guo Tianyu, Xu Chang, Deng Yipeng, Liu Zhenhua, Ma Siwei, Xu Chunjing, Xu Chao, and Gao Wen. [[pdf]](2012.00364.pdf (arxiv.org)), [cite], 2021.

7. Self-Learning Video Rain Streak Removal: When Cyclic Consistency Meets Temporal Correspondence. (SLDNet) CVPR.

   Yang Wenhan, T. Tan Robby, Wang Shiqi, and Liu Jiaying.[pdf] [cite], 2020.

8. All in One Bad Weather Removal using Architectural Search. (NAS) CVPR.

   Li Ruoteng, T. Tan Robby, and Cheong Looeng-Fah.[pdf] [cite], 2020.

9. Wavelet-based dual-branch network for image demoiréing. (WDNet) ECCV.

   Liu Lin, Liu Jianzhuang, Yuan Shanxin, Slabaugh Gregory, Leonardis Ales, Zhou Wengang, and Tian Qi.[pdf] [cite], 2020.

10. Rethinking Image Deraining via Rain Streaks and Vapors. (S-V-ANet) ECCV.

    Wang Yinglong, Song Yibing, Ma Chao, and Zeng Bing. [pdf] [cite], 2020.

11. Joint Self-Attention and Scale-Aggregation for Self-Calibrated Deraining Network. (JDNet) ACM'MM.

    Wang Cong, Wu Yutong, Su Zhixun, and Chen Junyang. [pdf] [github] [cite], 2020.

12. DCSFN: Deep Cross-scale Fusion Network for Single Image Rain Removal. (DCSFN) ACM'MM.

    Wang Cong, Xing Xiaoying, Su Zhixun, and Chen Junyang.[pdf] [github] [cite], 2020.

13. Conditional Variational Image Deraining. (CVID) TIP.

    Du Yingjun, Xu Jun, Zhen Xiantong, Cheng Ming-Ming, and Shao Ling. [pdf] [github] [cite], 2020.

14. Variational Image Deraining. (VID) WACV.

    Du Yingjun, Xun Jun, Qiu Qiang, Zhen Xiantong, and Zhang Lei.[pdf] [github] [cite], 2020.

15. Detail-recovery Image Deraining via Context Aggregation Networks. (DRD-Net) CVPR.

    Deng Sen, Wei Mingqiang, Wang Jun, Feng Yidan, Liang Luming, Xie Haoran, Wang Fu Lee, and Wang Meng. [pdf] [github] [cite], 2020.

16. Multi-Scale Progressive Fusion Network for Single Image Deraining. CVPR.

    Jiang Kui, Wang Zhongyuan, Yi Peng, and Chen Chen. [pdf] [github] [cite], 2020.

17. Physical Model Guided Deep Image Deraining. ICME.

    Zhu Honghe, Wang Cong, Zhang Yajie, Su Zhixun, and Zhao Guohui. [pdf] [github] [cite], 2020.

18. RDDAN: A Residual Dense Dilated Aggregated Network for Single Image Deraining. (RDDAN) ICME.

    Yang Youzhao, Ran Wu, and Lu Hong. [pdf] [cite], 2020.

19. Confidence Measure Guided Single Image De-Raining. (QuDec) TIP.

    Yasarla Rajeev, and M. Patel Vishal. [pdf] [cite], 2020.

20. A Coarse-to-Fine Multi-stream Hybrid Deraining Network for Single Image Deraining. (MH-DerainNet) ICDM.

    Wei Yanyan, Zhang Zhao, Zhang Haijun, Hong Richang, and Wang Meng. [pdf] [cite], 2019.

21. ERL-Net: Entangled Representation Learning for Single Image De-Raining. (ERL-Net) ICCV.

    Wang Guoqing, Sun Changming, and Sowmya Acrot. [pdf] [cite], 2019.

22. a

    ---

Generative Model

1. **Semi-Supervised Video Deraining with Dynamical Rain Generator. (S2VD) ** CVPR.

   Yue Zongsheng, Xie Jianwen, Zhao Qian, and Meng Deyu. [pdf], [github], [cite], 2021.

2. Closing the Loop: Joint Rain Generation and Removal via Disentangled Image Translation. (JRGR) CVPR.

   Ye yuntong, Chang Yi, Zhou Hanyu, and Yan Luxin. [pdf], [cite], 2021.

3. From Rain Generation to Rain Removal. (VRGNet) CVPR.

   Wang Hong, Yue Zongsheng, Xie Qi, Zhao Qian, Zheng Yefeng, and Meng Deyu. [pdf], [github], [cite], 2021.

4. Controlling the Rain: from Removal to Rendering. (RICNet) CVPR.

   Ni Siqi, Cao Xueyun, Yue Tao, and Hu Xuemei. [pdf], [cite], 2021.

Recurrent Model

1. Single Image Deraining via Recurrent Hierarchy and Enhancement Network. (ReHEN) ACM'MM.

   Yang Youzhao, and Lu Hong. [pdf] [github] [cite], 2019.

Prior Based

1. Single Image Rain Removal Boosting via Directional Gradient. (DiG-CoM) ICME.

   Ran Wu, Yang Youzhao, Lu Hong. [pdf] [github] [cite], 2020.

Hybrid

1. A Model-driven Deep Neural Network for Single Image Rain Removal. (RCDNet) CVPR.

   Wang Hong, Xie Qi, Zhao Qian, and Meng Deyu. [pdf] [github] [cite], 2020.

2. Syn2Real Transfer Learning for Image Deraining using Gaussian Processes. (Syn2Real) CVPR.

   Yasarla Rajeev, A. Sindagi Vishwanath, and M. Patel Vishal. [pdf] [github] [cite], 2020.

3. Scale-Free Single Image Deraining Via VisibilityEnhanced Recurrent Wavelet Learning. (RWL) TIP.

   Yang Wenhan, Liu Jiaying, Yang Shuai, and Guo Zongming. [pdf] [cite], 2019.

High Level

1. Beyond Monocular Deraining: Stereo Image Deraining via Semantic Understanding. (PRRNet) ECCV.

   Zhang Kaihao, Luo Wenhan, Ren Wenqi, Wang Jingwen, Zhao Fang, Ma Lin, and Li Hongdong. [[pdf]](123720069.pdf (ecva.net)), [cite], 2020.

2. ForkGAN: Seeing into the Rainy Night. (ForkGAN) ECCV.

   Zheng Ziqiang, Wu Yang, Han Xinran, and Shi Jianbo.[pdf] [github] [cite], 2020.

3. RainFlow: Optical Flow under Rain Streaks and Rain Veiling Effect. (RainFlow) ICCV.

   Li Ruoteng, T. Tan Robby, Cheong Loong-Fah, I. Aviles-Rivero Angelica, Fan Qingnan, and Schonlieb Carola-Bibiane. [pdf] [cite], 2019.

Other Contributors