Winner, H.[Hermann],
Combined sensor device for measuring both rain-covered area on
and visual range through a windshield of a motor vehicle,
US_Patent6,108,084, Aug 22, 2000
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BibRef
0008
Garg, K.[Kshitiz],
Nayar, S.K.[Shree K.],
Photorealistic Rendering of Rain Streaks,
ToG(25), July 2006, pp. xx-yy.
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BibRef
0607
Garg, K.[Kshitiz],
Nayar, S.K.[Shree K.],
Vision and Rain,
IJCV(75), No. 1, October 2007, pp. 3-27.
Springer DOI
0709
BibRef
Earlier:
When Does a Camera See Rain?,
ICCV05(II: 1067-1074).
IEEE DOI
0510
BibRef
Earlier:
Detection and removal of rain from videos,
CVPR04(I: 528-535).
IEEE DOI
0408
BibRef
Tripathi, A.K.,
Mukhopadhyay, S.,
Video post processing: Low-latency spatiotemporal approach for
detection and removal of rain,
IET-IPR(6), No. 2, 2012, pp. 181-196.
DOI Link
1204
BibRef
Tripathi, A.K.[Abhishek Kumar],
Mukhopadhyay, S.[Sudipta],
Removal of rain from videos: a review,
SIViP(8), No. 8, November 2014, pp. 1421-1430.
WWW Link.
1411
BibRef
Tripathi, A.K.[Abhishek Kumar],
Mukhopadhyay, S.[Sudipta],
Meteorological approach for detection and removal of rain from videos,
IET-CV(7), No. 1, 2013, pp. 36-47.
DOI Link
1307
BibRef
Chen, J.[Jie],
Chau, L.P.[Lap-Pui],
A Rain Pixel Recovery Algorithm for Videos With Highly Dynamic Scenes,
IP(23), No. 3, March 2014, pp. 1097-1104.
IEEE DOI
1403
filtering theory
BibRef
Chen, D.Y.[Duan-Yu],
Chen, C.C.[Chien-Cheng],
Kang, L.W.[Li-Wei],
Visual Depth Guided Color Image Rain Streaks Removal Using Sparse
Coding,
CirSysVideo(24), No. 8, August 2014, pp. 1430-1455.
IEEE DOI
1410
eigenvalues and eigenfunctions
BibRef
Kim, H.G.[Hak Gu],
Seo, S.J.[Seung Ji],
Song, B.C.[Byung Cheol],
Multi-frame de-raining algorithm using a motion-compensated non-local
mean filter for rainy video sequences,
JVCIR(26), No. 1, 2015, pp. 317-328.
Elsevier DOI
1502
Rain streaks
BibRef
Santhaseelan, V.[Varun],
Asari, V.K.[Vijayan K.],
Utilizing Local Phase Information to Remove Rain from Video,
IJCV(112), No. 1, March 2015, pp. 71-89.
WWW Link.
1503
BibRef
Earlier:
Phase Congruency Based Technique for the Removal of Rain from Video,
ICIAR11(I: 30-39).
Springer DOI
1106
BibRef
Lin, H.,
Li, Y.,
Fu, X.Y.[Xue-Yang],
Ding, X.H.[Xing-Hao],
Huang, Y.[Yue],
Paisley, J.[John],
Rain O'er Me: Synthesizing Real Rain to Derain With Data Distillation,
IP(29), 2020, pp. 7668-7680.
IEEE DOI
2007
Image deraining, deep learning, unpaired data, image filter
BibRef
Fu, X.Y.[Xue-Yang],
Qi, Q.[Qi],
Zha, Z.J.[Zheng-Jun],
Ding, X.H.[Xing-Hao],
Wu, F.[Feng],
Paisley, J.[John],
Successive Graph Convolutional Network for Image De-raining,
IJCV(129), No. 5, May 2021, pp. 1691-1711.
Springer DOI
2105
BibRef
Fu, X.Y.[Xue-Yang],
Xiao, J.[Jie],
Zhu, Y.R.[Yu-Rui],
Liu, A.[Aiping],
Wu, F.[Feng],
Zha, Z.J.[Zheng-Jun],
Continual Image Deraining With Hypergraph Convolutional Networks,
PAMI(45), No. 8, August 2023, pp. 9534-9551.
IEEE DOI
2307
Rain, Task analysis, Convolution, Training, Convolutional codes,
Synthetic data, Optimization, Continual learning,
image restoration
BibRef
Xiao, J.[Jie],
Fu, X.Y.[Xue-Yang],
Liu, A.[Aiping],
Wu, F.[Feng],
Zha, Z.J.[Zheng-Jun],
Image De-Raining Transformer,
PAMI(45), No. 11, November 2023, pp. 12978-12995.
IEEE DOI
2310
BibRef
Zhang, H.[He],
Patel, V.M.[Vishal M.],
Convolutional Sparse and Low-Rank Coding-Based Image Decomposition,
IP(27), No. 5, May 2018, pp. 2121-2133.
IEEE DOI
1804
BibRef
Earlier:
Convolutional Sparse and Low-Rank Coding-Based Rain Streak Removal,
WACV17(1259-1267)
IEEE DOI
1609
BibRef
Earlier:
Convolutional Sparse Coding-based Image Decomposition,
BMVC16(xx-yy).
HTML Version.
1805
image coding, image representation, image texture,
learning (artificial intelligence), cartoon decomposition,
sparse coding.
Convolutional codes, Dictionaries, Image coding,
Optimization, Rain, Videos
BibRef
Liu, J.,
Yang, W.,
Yang, S.,
Guo, Z.,
D3R-Net: Dynamic Routing Residue Recurrent Network for Video Rain
Removal,
IP(28), No. 2, February 2019, pp. 699-712.
IEEE DOI
1811
image fusion, image motion analysis, image segmentation,
image sequences, object detection, rain, video signal processing,
recurrent neural network
BibRef
Jiang, T.,
Huang, T.,
Zhao, X.,
Deng, L.,
Wang, Y.,
FastDeRain: A Novel Video Rain Streak Removal Method Using
Directional Gradient Priors,
IP(28), No. 4, April 2019, pp. 2089-2102.
IEEE DOI
1901
gradient methods, rain, video signal processing,
rain-perpendicular direction, anisotropic spatial smoothness,
split augmented Lagrangian shrinkage algorithm (SALSA)
BibRef
Wang, Y.T.[Ye-Tao],
Zhao, X.L.[Xi-Le],
Jiang, T.X.[Tai-Xiang],
Deng, L.J.[Liang-Jian],
Ma, T.H.[Tian-Hui],
Zhang, Y.T.[Yue-Tian],
Huang, T.Z.[Ting-Zhu],
A total variation and group sparsity based tensor optimization model
for video rain streak removal,
SP:IC(73), 2019, pp. 96-108.
Elsevier DOI
1904
Video rain streak removal, Group sparsity,
Unidirectional total variation (UTV),
Alternating direction method of multipliers (ADMM)
BibRef
Jayaraman, T.[Thiyagarajan],
Chinnusamy, G.S.[Gowri Shankar],
Investigation of filtering of rain streaks affected video sequences
under various quantisation parameter in HEVC encoder using an enhanced
V-BM4D algorithm,
IET-IPR(14), No. 2, February 2020, pp. 337-347.
DOI Link
2001
BibRef
Thiyagarajan, J.,
Shankar, C.G.[C. Gowri],
Quality improvement and performance analysis of High Efficiency Video
Coding under high quantization parameters and rain streaks,
SIViP(14), No. 2, March 2020, pp. 387-395.
WWW Link.
2003
BibRef
Ren, W.,
Tian, J.,
Wang, Q.,
Tang, Y.,
Dually Connected Deraining Net Using Pixel-Wise Attention,
SPLetters(27), 2020, pp. 316-320.
IEEE DOI
2003
Image deraining, pixel-wise attention, encoder-decoder, skip connection
BibRef
Du, Y.,
Xu, J.,
Zhen, X.,
Cheng, M.,
Shao, L.,
Conditional Variational Image Deraining,
IP(29), 2020, pp. 6288-6301.
IEEE DOI
2005
Rain, Estimation, Optimization, Learning systems,
Image color analysis, Decoding, Channel estimation,
channel-wise deraining
BibRef
Liu, D.S.M.[Damon Shing-Min],
Chen, Y.J.[Yi-Jhih],
Rain removal system for dynamic scene in diminished reality,
SIViP(14), No. 5, July 2020, pp. 945-953.
Springer DOI
2006
BibRef
Yang, W.,
Wang, S.,
Liu, J.,
Removing Arbitrary-Scale Rain Streaks via Fractal Band Learning With
Self-Supervision,
IP(29), 2020, pp. 6759-6772.
IEEE DOI
2007
Rain, Feature extraction, Training, Machine learning,
Biological system modeling, Fractals, Degradation,
deep network
BibRef
Zhang, H.[He],
Sindagi, V.[Vishwanath],
Patel, V.M.[Vishal M.],
Image De-Raining Using a Conditional Generative Adversarial Network,
CirSysVideo(30), No. 11, November 2020, pp. 3943-3956.
IEEE DOI
2011
Rain, Visualization, Generators, Generative adversarial networks,
Task analysis, Training, Generative adversarial network,
perceptual loss
BibRef
Baiju, P.S.,
Jayan, P.D.[P. Deepak],
George, S.N.[Sudhish N.],
Tensor total variation regularised low-rank approximation framework for
video deraining,
IET-IPR(14), No. 14, December 2020, pp. 3602-3612.
DOI Link
2012
BibRef
Di, S.,
Feng, Q.,
Li, C.G.,
Zhang, M.,
Zhang, H.,
Elezovikj, S.,
Tan, C.C.,
Ling, H.,
Rainy Night Scene Understanding With Near Scene Semantic Adaptation,
ITS(22), No. 3, March 2021, pp. 1594-1602.
IEEE DOI
2103
Image segmentation, Semantics, Adaptation models, Lighting,
Meteorology, Training, Bridges, Traffic scene understanding,
vehicle environment perception
BibRef
Xu, W.[Wei],
Qiu, S.[Song],
Huang, K.Y.[Kun-Yao],
Liu, W.[Wei],
Zuo, J.Z.[Jun-Zhe],
Guo, H.M.[Hao-Ming],
Image deraining with Adversarial Residual Refinement Network,
JVCIR(77), 2021, pp. 103133.
Elsevier DOI
2106
Image deraining, Deep learning, GAN
BibRef
Feng, X.[Xin],
Pei, W.J.[Wen-Jie],
Jia, Z.H.[Zi-Hui],
Chen, F.L.[Fang-Lin],
Zhang, D.[David],
Lu, G.M.[Guang-Ming],
Deep-Masking Generative Network: A Unified Framework for Background
Restoration From Superimposed Images,
IP(30), 2021, pp. 4867-4882.
IEEE DOI
2106
Image restoration, Task analysis, Rain, Atmospheric modeling,
Scattering, Data models, Predictive models,
residual deep-masking cell
BibRef
Yasarla, R.[Rajeev],
Sindagi, V.A.[Vishwanath A.],
Patel, V.M.[Vishal M.],
Semi-Supervised Image Deraining Using Gaussian Processes,
IP(30), 2021, pp. 6570-6582.
IEEE DOI
2108
BibRef
Earlier:
Syn2Real Transfer Learning for Image Deraining Using Gaussian
Processes,
CVPR20(2723-2733)
IEEE DOI
2008
Rain, Training, Data models, Computational modeling, Uncertainty,
Training data, Predictive models, Deraining, rainy image,
real-world data.
Semisupervised learning,
Predictive models, Gaussian processes, Image reconstruction
BibRef
Tang, Q.F.[Qun-Fang],
Yang, J.[Jie],
Liu, H.B.[Hai-Bo],
Guo, Z.Q.[Zhi-Qiang],
A Modified Syn2real Network for Nighttime Rainy Image Restoration,
ISVC20(II:344-356).
Springer DOI
2103
BibRef
Jiang, K.[Kui],
Wang, Z.Y.[Zhong-Yuan],
Yi, P.[Peng],
Chen, C.[Chen],
Wang, Z.[Zheng],
Wang, X.[Xiao],
Jiang, J.J.[Jun-Jun],
Lin, C.W.[Chia-Wen],
Rain-Free and Residue Hand-in-Hand:
A Progressive Coupled Network for Real-Time Image Deraining,
IP(30), 2021, pp. 7404-7418.
IEEE DOI
2109
Rain, Customer relationship management, Feature extraction,
Computational modeling, Task analysis, Image restoration,
attention mechanism
BibRef
Zhang, K.H.[Kai-Hao],
Li, D.X.[Dong-Xu],
Luo, W.H.[Wen-Han],
Ren, W.Q.[Wen-Qi],
Dual Attention-in-Attention Model for Joint Rain Streak and Raindrop
Removal,
IP(30), 2021, pp. 7608-7619.
IEEE DOI
2109
Rain, Dams, Task analysis, Image restoration, Shape, Deep learning,
Object detection, Rain streaks, raindrops, joint deraining,
differential-driven module
BibRef
Jiang, K.[Kui],
Wang, Z.Y.[Zhong-Yuan],
Yi, P.[Peng],
Chen, C.[Chen],
Han, Z.[Zhen],
Lu, T.[Tao],
Huang, B.J.[Bao-Jin],
Jiang, J.J.[Jun-Jun],
Decomposition Makes Better Rain Removal: An Improved Attention-Guided
Deraining Network,
CirSysVideo(31), No. 10, October 2021, pp. 3981-3995.
IEEE DOI
2110
Rain, Task analysis, Image restoration, Estimation, Correlation,
Neural networks, Deep learning, Image deraining,
non-local network
BibRef
Zhuang, J.H.[Jun-Hao],
Luo, Y.S.[Yi-Si],
Zhao, X.L.[Xi-Le],
Jiang, T.X.[Tai-Xiang],
Reconciling Hand-Crafted and Self-Supervised Deep Priors for Video
Directional Rain Streaks Removal,
SPLetters(28), 2021, pp. 2147-2151.
IEEE DOI
2112
Rain, Tensors, Training, Kernel, Convolutional neural networks,
Training data, Solid modeling, Video deraining,
self-supervised deep prior
BibRef
Mu, P.[Pan],
Liu, Z.[Zhu],
Liu, Y.[Yaohua],
Liu, R.S.[Ri-Sheng],
Fan, X.[Xin],
Triple-Level Model Inferred Collaborative Network Architecture for
Video Deraining,
IP(31), 2022, pp. 239-250.
IEEE DOI
2112
Rain, Task analysis, Optimization, Network architecture,
Microscopy, DNA, Video deraining,
neural architecture search
BibRef
Du, S.[Shuangli],
Liu, Y.G.[Yi-Guang],
Zhao, M.H.[Ming-Hua],
Shi, Z.H.[Zheng-Hao],
You, Z.[Zhenzhen],
Li, J.[Jie],
A comprehensive survey: Image deraining and stereo-matching
task-driven performance analysis,
IET-IPR(16), No. 1, 2022, pp. 11-28.
DOI Link
2112
BibRef
Kulkarni, A.[Ashutosh],
Patil, P.W.[Prashant W.],
Murala, S.[Subrahmanyam],
Progressive Subtractive Recurrent Lightweight Network for Video
Deraining,
SPLetters(29), 2022, pp. 229-233.
IEEE DOI
2202
Rain, Feature extraction, Convolution, Training, Merging, Kernel,
Task analysis, Lightweight, progressive subtraction,
video deraining
BibRef
Ahn, N.[Namhyun],
Jo, S.Y.[So Yeon],
Kang, S.J.[Suk-Ju],
EAGNet: Elementwise Attentive Gating Network-Based Single Image
De-Raining With Rain Simplification,
CirSysVideo(32), No. 2, February 2022, pp. 608-620.
IEEE DOI
2202
Rain, Image restoration, Task analysis, Feature extraction,
Degradation, Learning systems, Rain removal,
elementwise attention block
BibRef
Ding, Y.Y.[Yu-Yang],
Li, M.Y.[Ming-Yue],
Yan, T.[Tao],
Zhang, F.[Fan],
Liu, Y.[Yuan],
Lau, R.W.H.[Rynson W. H.],
Rain Streak Removal From Light Field Images,
CirSysVideo(32), No. 2, February 2022, pp. 467-482.
IEEE DOI
2202
Rain, Image restoration, Generators, Estimation, Cameras, Training,
Light field image, rain streak removal, deraining
BibRef
Yan, T.[Tao],
Li, M.Y.[Ming-Yue],
Li, B.[Bin],
Yang, Y.[Yang],
Lau, R.W.H.[Rynson W. H.],
Rain Removal From Light Field Images With 4D Convolution and
Multi-Scale Gaussian Process,
IP(32), 2023, pp. 921-936.
IEEE DOI
2301
Rain, Semisupervised learning, Training, Image restoration,
Feature extraction, Task analysis, Estimation, Light field images,
Gaussian process
BibRef
Wang, X.F.[Xiao-Fen],
Chen, J.[Jun],
Han, Z.[Zhen],
Zhu, Q.[Qikui],
Ruan, W.J.[Wei-Jian],
Real-Time Video Deraining via Global Motion Compensation and Hybrid
Multi-Scale Temporal Correlations,
SPLetters(29), 2022, pp. 672-676.
IEEE DOI
2203
Feature extraction, Rain, Correlation, Convolution, Transforms,
Streaming media, Computational efficiency, Video deraining,
global context module
BibRef
Yang, Y.[Yong],
Guan, J.W.[Ju-Wei],
Huang, S.Y.[Shu-Ying],
Wan, W.G.[Wei-Guo],
Xu, Y.T.[Ya-Ting],
Liu, J.X.[Jia-Xiang],
End-to-End Rain Removal Network Based on Progressive Residual Detail
Supplement,
MultMed(24), 2022, pp. 1622-1636.
IEEE DOI
2204
Rain, Logic gates, Task analysis, Feature extraction, Visualization,
History, Frequency-domain analysis, Rain removal,
detail supplement
BibRef
Zhang, K.H.[Kai-Hao],
Luo, W.H.[Wen-Han],
Yu, Y.J.[Yan-Jiang],
Ren, W.Q.[Wen-Qi],
Zhao, F.[Fang],
Li, C.S.[Chang-Sheng],
Ma, L.[Lin],
Liu, W.[Wei],
Li, H.D.[Hong-Dong],
Beyond Monocular Deraining: Parallel Stereo Deraining Network Via
Semantic Prior,
IJCV(130), No. 7, July 2022, pp. 1754-1769.
Springer DOI
2207
BibRef
Zhang, K.H.[Kai-Hao],
Luo, W.H.[Wen-Han],
Ren, W.Q.[Wen-Qi],
Wang, J.W.[Jing-Wen],
Zhao, F.[Fang],
Ma, L.[Lin],
Li, H.D.[Hong-Dong],
Beyond Monocular Deraining:
Stereo Image Deraining via Semantic Understanding,
ECCV20(XXVII:71-89).
Springer DOI
2011
BibRef
Du, S.L.[Shuang-Li],
Fan, H.R.[Heng-Rui],
Zhao, M.H.[Ming-Hua],
Zong, H.[Haomai],
Hu, J.[Jing],
Li, P.[Peng],
A two-stage method for single image de-raining based on attention
smoothed dilated network,
IET-IPR(16), No. 10, 2022, pp. 2557-2567.
DOI Link
2207
BibRef
Yang, W.H.[Wen-Han],
Tan, R.T.[Robby T.],
Feng, J.S.[Jia-Shi],
Wang, S.Q.[Shi-Qi],
Cheng, B.[Bin],
Liu, J.Y.[Jia-Ying],
Recurrent Multi-Frame Deraining: Combining Physics Guidance and
Adversarial Learning,
PAMI(44), No. 11, November 2022, pp. 8569-8586.
IEEE DOI
2210
BibRef
Earlier: A1, A5, A3, Only:
Frame-Consistent Recurrent Video Deraining With Dual-Level Flow,
CVPR19(1661-1670).
IEEE DOI
2002
Rain, Degradation, Physics, Computational modeling,
Image color analysis, Estimation, Multi-frame, video rain removal,
adversarial learning.
See also Single Image Deraining: From Model-Based to Data-Driven and Beyond.
BibRef
Cui, X.[Xin],
Wang, C.[Cong],
Ren, D.W.[Dong-Wei],
Chen, Y.J.[Yun-Jin],
Zhu, P.F.[Peng-Fei],
Semi-Supervised Image Deraining Using Knowledge Distillation,
CirSysVideo(32), No. 12, December 2022, pp. 8327-8341.
IEEE DOI
2212
Feature extraction, Task analysis, Supervised learning,
Semisupervised learning, Network architecture, semi-supervised learning
BibRef
Zhang, K.H.[Kai-Hao],
Li, D.X.[Dong-Xu],
Luo, W.H.[Wen-Han],
Ren, W.Q.[Wen-Qi],
Liu, W.[Wei],
Enhanced Spatio-Temporal Interaction Learning for Video Deraining:
Faster and Better,
PAMI(45), No. 1, January 2023, pp. 1287-1293.
IEEE DOI
2212
Feature extraction, Rain, Logic gates,
Correlation, Data mining, Image restoration, Video deraining, ESTINet
BibRef
Du, S.L.[Shuang-Li],
Liu, Y.G.[Yi-Guang],
Zhao, M.H.[Ming-Hua],
Xu, Z.Y.[Zhen-Yu],
Li, J.[Jie],
You, Z.Z.[Zhen-Zhen],
A new image decomposition approach using pixel-wise analysis sparsity
model,
PR(136), 2023, pp. 109241.
Elsevier DOI
2301
Image decomposition, Rain streaks removal, Retinex theory,
Pixel-wise analysis sparsity model, Synthesis sparsity model
BibRef
Ran, W.[Wu],
Yang, B.[Bohong],
Ma, P.[Peirong],
Lu, H.[Hong],
TRNR: Task-Driven Image Rain and Noise Removal With a Few Images
Based on Patch Analysis,
IP(32), 2023, pp. 721-736.
IEEE DOI
2301
Rain, Task analysis, Training, Neural networks, Gaussian noise,
Adaptation models, Image sampling, Image rain and noise removal,
few-shot learning
BibRef
Cai, L.[Lei],
Fu, Y.[Yuli],
Huo, W.L.[Wan-Liang],
Xiang, Y.[Youjun],
Zhu, T.[Tao],
Zhang, Y.[Ying],
Zeng, H.Q.[Huan-Qiang],
Zeng, D.[Delu],
Multiscale Attentive Image De-Raining Networks via Neural
Architecture Search,
CirSysVideo(33), No. 2, February 2023, pp. 618-633.
IEEE DOI
2302
Rain, Neural networks, Training, Task analysis, Complexity theory,
Shape, Image de-raining, multi-to-one training strategy
BibRef
Huang, H.B.[Huai-Bo],
Luo, M.[Mandi],
He, R.[Ran],
Memory Uncertainty Learning for Real-World Single Image Deraining,
PAMI(45), No. 3, March 2023, pp. 3446-3460.
IEEE DOI
2302
Rain, Uncertainty, Memory modules, Stochastic processes, Estimation,
Predictive models, Visualization, Image deraining,
uncertainty estimation
BibRef
Zhang, Z.J.[Zhi-Jia],
Wu, S.[Sinan],
Peng, X.M.[Xin-Ming],
Wang, W.T.[Wan-Ting],
Li, R.[Rui],
Continuous learning deraining network based on residual FFT
convolution and contextual transformer module,
IET-IPR(17), No. 3, 2023, pp. 747-760.
DOI Link
2303
contextual transformer, continuous learning, image deraining,
residual FFT convolution module
BibRef
Xi, Y.[Yue],
Jia, W.J.[Wen-Jing],
Miao, Q.G.[Qi-Guang],
Feng, J.[Junmei],
Liu, X.Z.[Xiang-Zeng],
Li, F.[Fei],
CoDerainNet: Collaborative Deraining Network for Drone-View Object
Detection in Rainy Weather Conditions,
RS(15), No. 6, 2023, pp. 1487.
DOI Link
2304
BibRef
Hao, Z.W.[Zhi-Wei],
Gai, S.[Shan],
Li, P.C.[Peng-Cheng],
Multi-Scale Self-Calibrated Dual-Attention Lightweight Residual Dense
Deraining Network Based on Monogenic Wavelets,
CirSysVideo(33), No. 6, June 2023, pp. 2642-2655.
IEEE DOI
2306
Rain, Feature extraction, Discrete wavelet transforms,
Task analysis, Convolutional neural networks,
lightweight residual dense network
BibRef
Sun, S.Q.[Shang-Quan],
Ren, W.Q.[Wen-Qi],
Li, J.Z.[Jing-Zhi],
Zhang, K.[Kaihao],
Liang, M.[Meiyu],
Cao, X.C.[Xiao-Chun],
Event-Aware Video Deraining via Multi-Patch Progressive Learning,
IP(32), 2023, pp. 3040-3053.
IEEE DOI
2306
Rain, Cameras, Convolutional neural networks, Task analysis,
Neural networks, Correlation, Sun, Video deraining, event-aware,
multi-patch learning
BibRef
Tang, J.H.[Jun-Hao],
Feng, G.R.[Guo-Rui],
A Fusion Deraining Network Based on Swin Transformer and Convolutional
Neural Network,
IEICE(E106-D), No. 7, July 2023, pp. 1254-1257.
WWW Link.
2307
BibRef
Wu, W.[Wei],
Liu, Y.[Yong],
Li, Z.[Zhu],
Subband Differentiated Learning Network for Rain Streak Removal,
CirSysVideo(33), No. 9, September 2023, pp. 4675-4688.
IEEE DOI
2310
BibRef
Song, T.Y.[Tian-Yu],
Li, P.P.[Peng-Peng],
Fan, S.[Shumin],
Jin, J.[Jiyu],
Jin, G.Y.[Gui-Yue],
Fan, L.[Lei],
Exploring a context-gated network for effective image deraining,
JVCIR(98), 2024, pp. 104060.
Elsevier DOI
2402
Single image deraining, Image restoration, Context enhancement,
Gated aggregation, Multi-scale features
BibRef
Yang, W.H.[Wen-Han],
Tan, R.T.[Robby T.],
Wang, S.Q.[Shi-Qi],
Kot, A.C.[Alex C.],
Liu, J.Y.[Jia-Ying],
Learning to Remove Rain in Video With Self-Supervision,
PAMI(46), No. 3, March 2024, pp. 1378-1396.
IEEE DOI Code:
WWW Link.
2402
Rain, Training, Data models, Adaptation models, Noise measurement,
Correlation, Encoding, Multi-frame image, video rain removal,
adversarial learning
BibRef
Frants, V.[Vladimir],
Agaian, S.[Sos],
Panetta, K.[Karen],
QSAM-Net: Rain Streak Removal by Quaternion Neural Network With
Self-Attention Module,
MultMed(26), 2024, pp. 789-798.
IEEE DOI
2402
Rain, Quaternions, Task analysis, Training, Image color analysis,
Neural networks, Meteorology, Deep learning, object detection,
rain removal
BibRef
Chang, Y.[Yi],
Guo, Y.[Yun],
Ye, Y.T.[Yun-Tong],
Yu, C.F.[Chang-Feng],
Zhu, L.[Lin],
Zhao, X.L.[Xi-Le],
Yan, L.X.[Lu-Xin],
Tian, Y.H.[Yong-Hong],
Unsupervised Deraining: Where Asymmetric Contrastive Learning Meets
Self-Similarity,
PAMI(46), No. 5, May 2024, pp. 2638-2657.
IEEE DOI
2404
BibRef
Earlier: A3, A4, A1, A5, A6, A7, A8, Only:
Unsupervised Deraining: Where Contrastive Learning Meets
Self-similarity,
CVPR22(5811-5820)
IEEE DOI
2210
Rain, Generators, Task analysis, Unsupervised learning,
Supervised learning, Visualization, STEM, Contrastive learning,
unsupervised learning.
Learning systems, Rain, Image restoration, Low-level vision
BibRef
Zhang, R.H.[Rong-Hui],
Yu, J.Z.[Jiong-Ze],
Chen, J.Z.[Jun-Zhou],
Li, G.[Guofa],
Lin, L.[Liang],
Wang, D.[Danwei],
A Prior Guided Wavelet-Spatial Dual Attention Transformer Framework
for Heavy Rain Image Restoration,
MultMed(26), 2024, pp. 7043-7057.
IEEE DOI
2405
Rain, Transformers, Wavelet transforms, Task analysis,
Feature extraction, Image restoration, Visualization, Heavy rain,
spatial attention
BibRef
Qi, X.Y.[Xuan-Yu],
Song, T.Y.[Tian-Yu],
Dong, H.[Haobo],
Jin, J.[Jiyu],
Jin, G.Y.[Gui-Yue],
Li, P.P.[Peng-Peng],
Dual-branch collaborative transformer for effective image deraining,
JVCIR(100), 2024, pp. 104136.
Elsevier DOI
2405
Single image deraining, Transformer,
Multi-dimensional features, Feature fusion
BibRef
Wu, W.[Wei],
Chang, H.[Hao],
Li, Z.[Zhu],
See SIFT in a Rain,
CirSysVideo(34), No. 5, May 2024, pp. 3700-3713.
IEEE DOI
2405
Rain, Task analysis, Feature extraction, Dogs, Image quality,
Transforms, Image reconstruction, Image deraining,
gradient attention
BibRef
Chen, X.Q.[Xin-Qiang],
Wei, C.X.[Chen-Xin],
Yang, Y.[Yang],
Luo, L.J.[Li-Juan],
Biancardo, S.A.[Salvatore Antonio],
Mei, X.J.[Xiao-Jun],
Personnel Trajectory Extraction From Port-Like Videos Under Varied
Rainy Interferences,
ITS(25), No. 7, July 2024, pp. 6567-6579.
IEEE DOI
2407
Personnel, Trajectory, Videos, Feature extraction, Meteorology, Rain,
Interference, Personnel trajectory extraction,
automated container terminal
BibRef
Mao, D.Q.[De-Qian],
Gao, S.S.[Shan-Shan],
Li, Z.Y.[Zhen-Yu],
Dai, H.H.[Hong-Hao],
Zhang, Y.F.[Yun-Feng],
Zhou, Y.F.[Yuan-Feng],
Aggregating Global and Local Representations via Hybrid Transformer
for Video Deraining,
CirSysVideo(34), No. 8, August 2024, pp. 7512-7522.
IEEE DOI
2408
Rain, Transformers, Feature extraction, Aggregates, Task analysis, Imaging,
Image reconstruction, Video deraining, hybrid transformer, VDN-HT
BibRef
Ding, Z.N.[Zhong-Ning],
Zhu, Y.[Yun],
Niu, S.S.[Shao-Shan],
Wang, J.Y.[Jian-Yu],
Su, Y.[Yan],
DDR: A network of image deraining systems for dark environments,
JVCIR(103), 2024, pp. 104244.
Elsevier DOI
2409
The image enhancement, The deraining network,
The network selector, The divide-and-conquer strategy
BibRef
Shi, C.[Cidan],
Fang, L.[Lihuang],
Wu, H.[Han],
Xian, X.Y.[Xiao-Yu],
Shi, Y.[Yukai],
Lin, L.[Liang],
NiteDR: Nighttime Image De-Raining With Cross-View Sensor Cooperative
Learning for Dynamic Driving Scenes,
MultMed(26), 2024, pp. 9203-9215.
IEEE DOI
2409
Rain, Image fusion, Task analysis, Feature extraction, Lighting,
Degradation, Transformers, Image de-raining, nighttime, cross-view,
autonomous driving
BibRef
Zhou, W.[Weina],
Ye, L.H.[Lin-Hui],
UC-former: A multi-scale image deraining network using enhanced
transformer,
CVIU(248), 2024, pp. 104097.
Elsevier DOI
2409
Single image deraining, Multi-scale feature fusion,
sTransformer, Self-attention
BibRef
Xue, X.W.[Xin-Wei],
He, J.[Jia],
Ma, L.[Long],
Meng, X.Y.[Xiang-Yu],
Li, W.[Wenlin],
Liu, R.S.[Ri-Sheng],
ASF-Net: Robust video deraining via temporal alignment and online
adaptive learning,
PR(158), 2025, pp. 110973.
Elsevier DOI Code:
WWW Link.
2411
Video deraining, Temporal shift, Learning strategy
BibRef
Li, H.X.[Hong-Xu],
Zhang, W.P.[Wen-Peng],
Li, X.T.[Xue-Ting],
Li, C.[Chen],
Breaking the rain barrier:
A novel approach in image processing with AMGR-Net,
IET-IPR(18), No. 13, 2024, pp. 4381-4393.
DOI Link
2411
BibRef
Yan, T.[Tao],
Zhu, X.J.[Xiang-Jie],
Chen, X.L.[Xiang-Long],
He, W.J.[Wei-Jiang],
Wang, C.L.[Cheng-Long],
Yang, Y.[Yang],
Wang, Y.H.[Ying-Hui],
Chang, X.J.[Xiao-Jun],
GLGFN: Global-Local Grafting Fusion Network for High-Resolution Image
Deraining,
CirSysVideo(34), No. 11, November 2024, pp. 10860-10873.
IEEE DOI
2412
Feature extraction, Rain, Transformers, Image restoration,
Image resolution, Decoding, Task analysis, High-resolution image,
grafting fusion
BibRef
Fu, X.Y.[Xue-Yang],
Cao, C.Z.[Cheng-Zhi],
Xu, S.[Senyan],
Zhang, F.[Fanrui],
Wang, K.Y.[Kun-Yu],
Zha, Z.J.[Zheng-Jun],
Event-Driven Heterogeneous Network for Video Deraining,
IJCV(132), No. 12, December 2024, pp. 5841-5861.
Springer DOI
2501
BibRef
Li, J.[Jihao],
Hu, J.C.[Jin-Cheng],
Fu, P.Y.[Peng-Yu],
Yang, J.[Jun],
Jiang, J.J.[Jing-Jing],
Zhang, Y.J.[Yuan-Jian],
Ultra-Fast Deraining Plugin for Vision-Based Perception of Autonomous
Driving,
ITS(26), No. 1, January 2025, pp. 1227-1240.
IEEE DOI
2501
Rain, Autonomous vehicles, Lane detection, Visual perception,
Visualization, Instance segmentation, Training data, Meteorology,
visual perception
BibRef
Guo, Q.[Qing],
Qi, H.[Hua],
Sun, J.Y.[Jing-Yang],
Xu, F.J.F.[Felix Jue-Fei],
Ma, L.[Lei],
Lin, D.[Di],
Feng, W.[Wei],
Wang, S.[Song],
EfficientDeRain+: Learning Uncertainty-Aware Filtering via RainMix
Augmentation for High-Efficiency Deraining,
IJCV(133), No. 4, April 2025, pp. 2111-2135.
Springer DOI
2504
BibRef
Wang, S.[Shuai],
Zhu, L.[Lei],
Fu, H.Z.[Hua-Zhu],
Qin, J.[Jing],
Schönlieb, C.B.[Carola-Bibiane],
Feng, W.[Wei],
Wang, S.[Song],
Rethinking Video Rain Streak Removal: A New Synthesis Model and a
Deraining Network with Video Rain Prior,
ECCV22(XIX:565-582).
Springer DOI
2211
BibRef
Chen, T.T.[Ting-Ting],
Lin, B.B.[Bei-Bei],
Jin, Y.[Yeying],
Yan, W.D.[Wen-Ding],
Ye, W.[Wei],
Yuan, Y.[Yuan],
Tan, R.T.[Robby T.],
Dual-rain: Video Rain Removal Using Assertive and Gentle Teachers,
ECCV24(LXVIII: 127-143).
Springer DOI
2412
BibRef
Yamashita, S.[Shugo],
Ikehara, M.[Masaaki],
Image Deraining with Frequency-enhanced State Space Model,
ACCV24(IV: 318-334).
Springer DOI
2412
BibRef
Gao, N.[Ning],
Jiang, X.Y.[Xing-Yu],
Zhang, X.[Xiuhui],
Deng, Y.[Yue],
Efficient Frequency-domain Image Deraining with Contrastive
Regularization,
ECCV24(XLI: 240-257).
Springer DOI
2412
BibRef
Ye, Z.[Zihao],
Cho, J.[Jaehoon],
Oh, C.J.[Chang-Jae],
Improving Image De-Raining Using Reference-Guided Transformers,
ICIP24(1629-1634)
IEEE DOI
2411
Machine vision, Text to image, Transformers, Robustness,
Task analysis, Image de-raining, transformers
BibRef
He, Y.H.[Yu-Hong],
Jiang, A.[Aiwen],
Jiang, L.F.[Ling-Fang],
Peng, L.[Long],
Wang, Z.F.[Zhi-Feng],
Wang, L.[Lu],
Dual-Path Coupled Image Deraining Network Via Spatial-Frequency
Interaction,
ICIP24(1452-1458)
IEEE DOI Code:
WWW Link.
2411
Frequency-domain analysis, Source coding, Force, Transforms,
Benchmark testing, Feature extraction, Transformers,
Spatial-Channel Self-Attention
BibRef
Chen, X.[Xiang],
Pan, J.S.[Jin-Shan],
Dong, J.X.[Jiang-Xin],
Bidirectional Multi-Scale Implicit Neural Representations for Image
Deraining,
CVPR24(25627-25636)
IEEE DOI Code:
WWW Link.
2410
Degradation, Rain, Source coding, Computational modeling,
Collaboration, Transformers
BibRef
Zhou, S.H.[Shi-Hao],
Chen, D.[Duosheng],
Pan, J.S.[Jin-Shan],
Shi, J.L.[Jing-Lei],
Yang, J.F.[Ju-Feng],
Adapt or Perish: Adaptive Sparse Transformer with Attentive Feature
Refinement for Image Restoration,
CVPR24(2952-2963)
IEEE DOI Code:
WWW Link.
2410
Adaptation models, Matched filters, Rain,
Termination of employment, Transformer cores, Transformers,
Adaptive Sparse Transformer
BibRef
Zheng, S.[Shen],
Lu, C.J.[Chang-Jie],
Narasimhan, S.G.[Srinivasa G.],
TPSeNCE: Towards Artifact-Free Realistic Rain Generation for
Deraining and Object Detection in Rain,
WACV24(5382-5391)
IEEE DOI Code:
WWW Link.
2404
Manifolds, Rain, Semantics, Noise, Estimation, Lighting,
Object detection, Algorithms, Generative models for image, video, 3D,
Low-level and physics-based vision
BibRef
Munir, A.[Adnan],
Siddiqui, A.J.[Abdul Jabbar],
Anwar, S.[Saeed],
Investigation of UAV Detection in Images with Complex Backgrounds and
Rainy Artifacts,
RWSurvil24(232-241)
IEEE DOI Code:
WWW Link.
2404
YOLO, Training, Privacy, Rain, Surveillance, Autonomous aerial vehicles
BibRef
Wang, J.[Jin],
Weng, W.M.[Wen-Ming],
Zhang, Y.[Yueyi],
Xiong, Z.W.[Zhi-Wei],
Unsupervised Video Deraining with An Event Camera,
ICCV23(10797-10806)
IEEE DOI
2401
BibRef
Zhang, F.[Fan],
You, S.[Shaodi],
Li, Y.[Yu],
Fu, Y.[Ying],
Learning Rain Location Prior for Nighttime Deraining,
ICCV23(13102-13111)
IEEE DOI Code:
WWW Link.
2401
BibRef
Guo, Y.[Yun],
Xiao, X.[Xueyao],
Chang, Y.[Yi],
Deng, S.[Shumin],
Yan, L.X.[Lu-Xin],
From Sky to the Ground: A Large-scale Benchmark and Simple Baseline
Towards Real Rain Removal,
ICCV23(12063-12073)
IEEE DOI
2401
BibRef
Schmalfuss, J.[Jenny],
Mehl, L.[Lukas],
Bruhn, A.[Andrés],
Distracting Downpour: Adversarial Weather Attacks for Motion
Estimation,
ICCV23(10072-10082)
IEEE DOI Code:
WWW Link.
2401
BibRef
Fan, C.M.[Chi-Mao],
Liu, T.J.[Tsung-Jung],
Liu, K.H.[Kuan-Hsien],
Compound Multi-Branch Feature Fusion for Image Deraindrop,
ICIP23(3399-3403)
IEEE DOI Code:
WWW Link.
2312
BibRef
Zhang, H.[Howard],
Ba, Y.H.[Yun-Hao],
Yang, E.[Ethan],
Mehra, V.[Varan],
Gella, B.[Blake],
Suzuki, A.[Akira],
Pfahnl, A.[Arnold],
Chandrappa, C.C.[Chethan Chinder],
Wong, A.[Alex],
Kadambi, A.[Achuta],
WeatherStream: Light Transport Automation of Single Image
Deweathering,
CVPR23(13499-13509)
IEEE DOI
2309
BibRef
Li, Y.F.[Yu-Feng],
Lu, J.[Jiyang],
Chen, H.M.[Hong-Ming],
Wu, X.[Xianhao],
Chen, X.[Xiang],
Dilated Convolutional Transformer for High-Quality Image Deraining,
UG23(4199-4207)
IEEE DOI
2309
BibRef
Wang, Y.L.[Ying-Long],
Ma, C.[Chao],
Liu, J.Z.[Jian-Zhuang],
SmartAssign:Learning A Smart Knowledge Assignment Strategy for
Deraining and Desnowing,
CVPR23(3677-3686)
IEEE DOI
2309
BibRef
Chen, X.[Xiang],
Li, H.[Hao],
Li, M.Q.[Ming-Qiang],
Pan, J.S.[Jin-Shan],
Learning A Sparse Transformer Network for Effective Image Deraining,
CVPR23(5896-5905)
IEEE DOI
2309
BibRef
Yan, Z.Y.[Zhao-Yong],
Ma, L.Y.[Li-Yan],
Luo, X.F.[Xiang-Feng],
Sun, Y.[Yan],
Multi-scale and Multi-stage Deraining Network with Fourier Space Loss,
MMMod23(II: 575-586).
Springer DOI
2304
BibRef
Rai, S.N.[Shyam Nandan],
Saluja, R.[Rohit],
Arora, C.[Chetan],
Balasubramanian, V.N.[Vineeth N],
Subramanian, A.[Anbumani],
Jawahar, C.V.,
FLUID: Few-Shot Self-Supervised Image Deraining,
WACV22(418-427)
IEEE DOI
2202
Image segmentation, Rain, Fluids, Snow, Semantics,
Noise reduction, Transfer, Few-shot,
Vision Systems and Applications
BibRef
Hu, Y.Z.[Yu-Zhang],
Yang, W.H.[Wen-Han],
Liu, J.Y.[Jia-Ying],
Guo, Z.M.[Zong-Ming],
Rain-Prior Injected Knowledge Distillation for Single Image Deraining,
ICIP22(2571-2575)
IEEE DOI
2211
Knowledge engineering, Rain, Feature extraction, Noise measurement,
Knowledge transfer, Single Image Deraining,
Recurrent Distillation
BibRef
Chen, Z.B.[Ze-Bin],
Wang, Y.G.[Yuan-Gen],
DTT-Net: Dual-Domain Translation Transformer for Semi-Supervised
Image Deraining,
ICIP22(1621-1625)
IEEE DOI
2211
Training, Visualization, Rain, Codes, Benchmark testing, Transformers,
Image deraining, Semi-supervised learning, Transformer, Domain gap
BibRef
Shyam, P.[Pranjay],
Kim, K.S.[Kyung-Soo],
Yoon, K.J.[Kuk-Jin],
GIQE: Generic Image Quality Enhancement via Nth Order Iterative
Degradation,
CVPR22(2067-2077)
IEEE DOI
2210
Degradation, Training, Image quality, Rain, Heuristic algorithms,
Transformers, Image restoration, Low-level vision,
Vision applications and systems
BibRef
Yu, Y.[Yi],
Yang, W.H.[Wen-Han],
Tan, Y.P.[Yap-Peng],
Kot, A.C.[Alex C.],
Towards Robust Rain Removal Against Adversarial Attacks:
A Comprehensive Benchmark Analysis and Beyond,
CVPR22(6003-6012)
IEEE DOI
2210
Rain, Systematics, Codes, Perturbation methods, Machine vision,
Benchmark testing, Low-level vision
BibRef
Zou, W.Q.[Wei-Qi],
Wang, Y.[Yang],
Fu, X.Y.[Xue-Yang],
Cao, Y.[Yang],
Dreaming to Prune Image Deraining Networks,
CVPR22(6013-6022)
IEEE DOI
2210
Degradation, Adaptation models, Data privacy, Image coding, Rain,
Computational modeling, Data models, Low-level vision
BibRef
Purohit, K.[Kuldeep],
Suin, M.[Maitreya],
Rajagopalan, A.N.,
Boddeti, V.N.[Vishnu Naresh],
Spatially-Adaptive Image Restoration using Distortion-Guided Networks,
ICCV21(2289-2299)
IEEE DOI
2203
Location awareness, Degradation, Knowledge engineering,
Visualization, Rain, Modulation,
Low-level and physics-based vision
BibRef
Xiao, J.[Jie],
Zhou, M.[Man],
Fu, X.Y.[Xue-Yang],
Liu, A.[Aiping],
Zha, Z.J.[Zheng-Jun],
Improving De-raining Generalization via Neural Reorganization,
ICCV21(4967-4976)
IEEE DOI
2203
Training, Knowledge engineering, Rain, Limiting,
Computational modeling, Biological system modeling,
BibRef
Chen, X.[Xiang],
Fan, Z.T.[Zhen-Tao],
Li, P.P.[Peng-Peng],
Dai, L.G.[Long-Gang],
Kong, C.[Caihua],
Zheng, Z.R.[Zhuo-Ran],
Huang, Y.F.[Yu-Feng],
Li, Y.F.[Yu-Feng],
Unpaired Deep Image Dehazing Using Contrastive Disentanglement Learning,
ECCV22(XVII:632-648).
Springer DOI
2211
BibRef
Chen, X.[Xiang],
Pan, J.S.[Jin-Shan],
Jiang, K.[Kui],
Li, Y.F.[Yu-Feng],
Huang, Y.F.[Yu-Feng],
Kong, C.[Caihua],
Dai, L.G.[Long-Gang],
Fan, Z.T.[Zhen-Tao],
Unpaired Deep Image Deraining Using Dual Contrastive Learning,
CVPR22(2007-2016)
IEEE DOI
2210
Learning systems, Rain, Computational modeling,
Image restoration,
Self- semi- meta- unsupervised learning
See also Deep Unpaired Blind Image Super-Resolution Using Self-supervised Learning and Exemplar Distillation.
BibRef
Liu, Y.[Yang],
Yue, Z.Y.[Zi-Yu],
Pan, J.S.[Jin-Shan],
Su, Z.X.[Zhi-Xun],
Unpaired Learning for Deep Image Deraining with Rain Direction
Regularizer,
ICCV21(4733-4741)
IEEE DOI
2203
Rain, Estimation, Semisupervised learning, Benchmark testing,
Image reconstruction, Low-level and physics-based vision,
Computational photography
BibRef
Yi, Q.[Qiaosi],
Li, J.C.[Jun-Cheng],
Dai, Q.[Qinyan],
Fang, F.[Faming],
Zhang, G.X.[Gui-Xu],
Zeng, T.Y.[Tie-Yong],
Structure-Preserving Deraining with Residue Channel Prior Guidance,
ICCV21(4218-4227)
IEEE DOI
2203
Image quality, Rain, Image recognition, Codes, Refining,
Image restoration, Low-level and physics-based vision,
BibRef
Zhou, J.Y.[Jing-Yuan],
Leong, C.[Chaktou],
Lin, M.[Minyi],
Liao, W.T.[Wan-Tong],
Li, C.D.[Cong-Duan],
Task Adaptive Network for Image Restoration with Combined Degradation
Factors,
VAQuality22(1-8)
IEEE DOI
2202
Degradation, Adaptation models, Rain,
Adaptive systems, Conferences, Distortion
BibRef
Zheng, S.[Shen],
Lu, C.J.[Chang-Jie],
Wu, Y.X.[Yu-Xiong],
Gupta, G.[Gaurav],
SAPNet: Segmentation-Aware Progressive Network for Perceptual
Contrastive Deraining,
VAQuality22(52-62)
IEEE DOI
2202
Bridges, Deep learning, Image segmentation, Rain, Handheld computers,
Semantics, Lighting
BibRef
Lee, Y.[Younkwan],
Yoo, H.[Hyeongjun],
Jeon, M.[Moongu],
Learning To Disentangle Representations for Rain Streak Removal,
ICIP21(574-578)
IEEE DOI
2201
Training, Rain, Visual analytics, Image processing,
Computational modeling, Estimation, Rain streak removal,
Disentangled representation
BibRef
Jiang, K.[Kui],
Wang, Z.Y.[Zhong-Yuan],
Yi, P.[Peng],
Chen, C.[Chen],
Wang, Z.[Zheng],
Lin, C.W.[Chia-Wen],
PCNET: Progressive Coupled Network for Real-Time Image Deraining,
ICIP21(1759-1763)
IEEE DOI
2201
Rain, Correlation, Computational modeling, Memory management,
Customer relationship management, Real-time systems,
Coupled representation
BibRef
Ye, Y.T.[Yun-Tong],
Chang, Y.[Yi],
Zhou, H.Y.[Han-Yu],
Yan, L.X.[Lu-Xin],
Closing the Loop: Joint Rain Generation and Removal via Disentangled
Image Translation,
CVPR21(2053-2062)
IEEE DOI
2111
Rain
BibRef
Wang, H.[Hong],
Yue, Z.S.[Zong-Sheng],
Xie, Q.[Qi],
Zhao, Q.[Qian],
Zheng, Y.F.[Ye-Feng],
Meng, D.Y.[De-Yu],
From Rain Generation to Rain Removal,
CVPR21(14786-14796)
IEEE DOI
2111
Training, Deep learning, Rain, Statistical distributions,
Benchmark testing, Generators, Robustness
BibRef
Yue, Z.S.[Zong-Sheng],
Xie, J.W.[Jian-Wen],
Zhao, Q.[Qian],
Meng, D.Y.[De-Yu],
Semi-Supervised Video Deraining with Dynamical Rain Generator,
CVPR21(642-652)
IEEE DOI
2111
Deep learning, Visualization, Rain,
Monte Carlo methods, Heuristic algorithms, Training data
BibRef
Huang, H.B.[Huai-Bo],
Yu, A.J.[Ai-Jing],
He, R.[Ran],
Memory Oriented Transfer Learning for Semi-Supervised Image Deraining,
CVPR21(7728-7737)
IEEE DOI
2111
Degradation, Rain, Transfer learning, Neural networks, Training data,
Memory modules
BibRef
Ni, S.Q.[Si-Qi],
Cao, X.Y.[Xue-Yun],
Yue, T.[Tao],
Hu, X.M.[Xue-Mei],
Controlling the Rain: from Removal to Rendering,
CVPR21(6324-6333)
IEEE DOI
2111
Interpolation, Rain, Aerospace electronics,
Rendering (computer graphics), Feature extraction
BibRef
Zheng, Z.Q.[Zi-Qiang],
Wu, Y.[Yang],
Han, X.R.[Xin-Ran],
Shi, J.B.[Jian-Bo],
Forkgan: Seeing into the Rainy Night,
ECCV20(III:155-170).
Springer DOI
2012
BibRef
Wang, Y.L.[Ying-Long],
Song, Y.B.[Yi-Bing],
Ma, C.[Chao],
Zeng, B.[Bing],
Rethinking Image Deraining via Rain Streaks and Vapors,
ECCV20(XVII:367-382).
Springer DOI
2011
BibRef
Sindagi, V.A.[Vishwanath A.],
Oza, P.[Poojan],
Yasarla, R.[Rajeev],
Patel, V.M.[Vishal M.],
Prior-based Domain Adaptive Object Detection for Hazy and Rainy
Conditions,
ECCV20(XIV:763-780).
Springer DOI
2011
BibRef
Deng, S.,
Wei, M.,
Wang, J.,
Feng, Y.,
Liang, L.,
Xie, H.,
Wang, F.L.,
Wang, M.,
Detail-recovery Image Deraining via Context Aggregation Networks,
CVPR20(14548-14557)
IEEE DOI
2008
Rain, Maintenance engineering, Task analysis, Degradation, Training,
Feature extraction, Visualization
BibRef
Yang, W.,
Tan, R.T.,
Wang, S.,
Liu, J.,
Self-Learning Video Rain Streak Removal: When Cyclic Consistency
Meets Temporal Correspondence,
CVPR20(1717-1726)
IEEE DOI
2008
Rain, Correlation, Feature extraction, Training, Encoding,
Motion estimation, Degradation
BibRef
Du, Y.,
Xu, J.,
Qiu, Q.,
Zhen, X.,
Zhang, L.,
Variational Image Deraining,
WACV20(2395-2404)
IEEE DOI
2006
Rain, Task analysis, Image color analysis, Estimation, Decoding,
Image reconstruction, Monte Carlo methods
BibRef
Halder, S.,
Lalonde, J.,
Charette, R.D.,
Physics-Based Rendering for Improving Robustness to Rain,
ICCV19(10202-10211)
IEEE DOI
2004
image segmentation, natural scenes, object detection, photometry,
rain, realistic images, rendering (computer graphics),
Databases
BibRef
Li, R.,
Tan, R.,
Cheong, L.F.,
Aviles-Rivero, A.I.,
Fan, Q.,
Schoenlieb, C.B.,
RainFlow: Optical Flow Under Rain Streaks and Rain Veiling Effect,
ICCV19(7303-7312)
IEEE DOI
2004
geophysical image processing, neural nets, rain, rain streaks,
rain veiling effect, heavy rainy scenes,
Optical sensors
BibRef
Islam, M.R.[Muhammad Rafiqul],
Paul, M.[Manoranjan],
Antolovich, M.[Michael],
Rain Streak Removal with Well-recovered Moving Objects from Video
Sequences Using Photometric Correlation,
PSIVT19(3-13).
Springer DOI
2003
BibRef
Ren, D.W.[Dong-Wei],
Zuo, W.M.[Wang-Meng],
Hu, Q.H.[Qing-Hua],
Zhu, P.F.[Peng-Fei],
Meng, D.Y.[De-Yu],
Progressive Image Deraining Networks: A Better and Simpler Baseline,
CVPR19(3932-3941).
IEEE DOI
2002
BibRef
Wei, W.[Wei],
Meng, D.Y.[De-Yu],
Zhao, Q.[Qian],
Xu, Z.B.[Zong-Ben],
Wu, Y.[Ying],
Semi-Supervised Transfer Learning for Image Rain Removal,
CVPR19(3872-3881).
IEEE DOI
2002
BibRef
Li, R.[Ruoteng],
Cheong, L.F.[Loong-Fah],
Tan, R.T.[Robby T.],
Heavy Rain Image Restoration: Integrating Physics Model and Conditional
Adversarial Learning,
CVPR19(1633-1642).
IEEE DOI
2002
BibRef
Jost, U.[Uriel],
Bormann, R.[Richard],
Water Streak Detection with Convolutional Neural Networks for Scrubber
Dryers,
CVS19(259-273).
Springer DOI
1912
BibRef
Cai, L.,
Li, S.,
Ren, D.,
Wang, P.,
Dual Recursive Network for Fast Image Deraining,
ICIP19(2756-2760)
IEEE DOI
1910
Image deraining, deep learning, recursive computation
BibRef
Zheng, Q.,
Shi, B.,
Jiang, X.,
Duan, L.,
Kot, A.C.,
Denoising Adversarial Networks for Rain Removal and Reflection
Removal,
ICIP19(2766-2770)
IEEE DOI
1910
Rain Streak Removal, Reflection Removal, Adversarial Learning, Deep Learning
BibRef
Liu, H.,
Ye, H.,
Li, X.,
Shi, W.,
Liu, M.,
Sun, Q.,
Self-Refining Deep Symmetry Enhanced Network for Rain Removal,
ICIP19(2786-2790)
IEEE DOI
1910
Image Restoration, Rotation Equivariance, CNN
BibRef
Gao, X.,
Mao, J.,
Yu, H.,
Yu, L.,
End-To-End Convolutional Network for Video Rain Streaks Removal,
ICIP19(2791-2795)
IEEE DOI
1910
rain streaks removal, convolutional network, end-to-end,
dense block, motion compensation
BibRef
Mondal, R.[Ranjan],
Purkait, P.[Pulak],
Santra, S.[Sanchayan],
Chanda, B.[Bhabatosh],
Morphological Networks for Image De-Raining,
DGCI19(262-275).
Springer DOI
1905
BibRef
Tang, L.M.[Lai Meng],
Lim, L.H.[Li Hong],
Siebert, P.[Paul],
Removal of Visual Disruption Caused by Rain Using Cycle-Consistent
Generative Adversarial Networks,
AutoNUE18(V:551-566).
Springer DOI
1905
BibRef
Liu, J.,
Yang, W.,
Yang, S.,
Guo, Z.,
Erase or Fill? Deep Joint Recurrent Rain Removal and Reconstruction
in Videos,
CVPR18(3233-3242)
IEEE DOI
1812
Rain, Videos, Adaptation models, Degradation, Image reconstruction,
Additives, Redundancy
BibRef
Chen, J.,
Tan, C.,
Hou, J.,
Chau, L.,
Li, H.,
Robust Video Content Alignment and Compensation for Rain Removal in a
CNN Framework,
CVPR18(6286-6295)
IEEE DOI
1812
Rain, Cameras, Visualization, Heuristic algorithms, Streaming media
BibRef
Li, M.,
Xie, Q.,
Zhao, Q.,
Wei, W.,
Gu, S.,
Tao, J.,
Meng, D.,
Video Rain Streak Removal by Multiscale Convolutional Sparse Coding,
CVPR18(6644-6653)
IEEE DOI
1812
Rain, Convolutional codes, Encoding, Task analysis, Shape,
Cameras, Feature extraction
BibRef
Lei, J.,
Zhang, S.,
Zou, W.,
Xiao, J.,
Chen, Y.,
Sui, H.,
An Image Rain Removal algorithm based on the depth of field and
sparse coding,
ICPR18(2368-2373)
IEEE DOI
1812
Rain, Dictionaries, Hafnium, Principal component analysis,
Clustering algorithms, Image decomposition
BibRef
Li, R.T.[Ruo-Teng],
Tan, R.T.[Robby T.],
Cheong, L.F.[Loong-Fah],
Robust Optical Flow in Rainy Scenes,
ECCV18(XV: 299-317).
Springer DOI
1810
BibRef
Wei, W.,
Yi, L.,
Xie, Q.,
Zhao, Q.,
Meng, D.,
Xu, Z.,
Should We Encode Rain Streaks in Video as Deterministic or
Stochastic?,
ICCV17(2535-2544)
IEEE DOI
1802
Gaussian processes, mixture models,
object detection, rain, video signal processing, Gaussians mixture,
Stochastic processes
BibRef
Jiang, T.X.,
Huang, T.Z.,
Zhao, X.L.,
Deng, L.J.,
Wang, Y.,
A Novel Tensor-Based Video Rain Streaks Removal Approach via
Utilizing Discriminatively Intrinsic Priors,
CVPR17(2818-2827)
IEEE DOI
1711
Cameras, Correlation, Machine learning, Rain, TV,
Tensile, stress
BibRef
Arimasa, T.[Taichi],
Yoshida, H.[Hiromi],
Iiguni, Y.[Yoji],
Detection of view-disturbing noise by using time-axial clustering in
spatio-temporal image,
MVA17(278-281)
DOI Link
1708
e.g. rain and other problems.
Automobiles, Cameras, Glass, Image color analysis, Noise measurement,
Organizations, Surveillance
BibRef
Tadano, R.,
Pediredla, A.K.,
Veeraraghavan, A.,
Depth Selective Camera: A Direct, On-Chip, Programmable Technique for
Depth Selectivity in Photography,
ICCV15(3595-3603)
IEEE DOI
1602
Cameras, Light sources, Lighting, Modulation, Rain, Scattering
BibRef
Chen, Y.L.[Yi-Lei],
Hsu, C.T.[Chiou-Ting],
A Generalized Low-Rank Appearance Model for Spatio-temporally
Correlated Rain Streaks,
ICCV13(1968-1975)
IEEE DOI
1403
BibRef
Eigen, D.[David],
Krishnan, D.[Dilip],
Fergus, R.[Rob],
Restoring an Image Taken through a Window Covered with Dirt or Rain,
ICCV13(633-640)
IEEE DOI
1403
BibRef
Brewer, N.[Nathan],
Liu, N.J.[Nian-Jun],
Using the Shape Characteristics of Rain to Identify and Remove Rain
from Video,
SSPR08(451-458).
Springer DOI
0812
BibRef
Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Single Image Rain Removal, Color Correction .