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Most existing single image deraining methods require learning supervised models from a large set of paired synthetic training data, which limits their generality, scalability and practicality in real-world multimedia applications.
Methodology for the subjective assessment of the quality of television pictures
R. I.-R. BT · 2002
Earlier work this paper cites.
Image quality assessment: from error visibility to structural similarity
Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli · 2004
Earlier work this paper cites.
Scope of validity of psnr in image/video quality assessment
Q. Huynh-Thu and M. Ghanbari · 2008
Earlier work this paper cites.
Fields of experts
S. Roth and M. J. Black · 2009
Earlier work this paper cites.
Context-aware single image rain removal
D.-A. Huang, L.-W. Kang, M.-C. Yang, C.-W. Lin, and Y.-C. F. Wang · 2012
Earlier work this paper cites.
Automatic single-image-based rain streaks removal via image decomposition
L.-W. Kang, C.-W. Lin, and Y.-H. Fu · 2012
Earlier work this paper cites.
A generalized low-rank appearance model for spatio-temporally correlated rain streaks
Y.-L. Chen and C.-T. Hsu · 2013
Earlier work this paper cites.
Guided image filtering
K. He, J. Sun, and X. Tang · 2013
Earlier work this paper cites.
Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
Earlier work this paper cites.
Self-learning based image decomposition with applications to single image denoising
D.-A. Huang, L.-W. Kang, Y.-C. F. Wang, and C.-W. Lin · 2014
Earlier work this paper cites.
Learning to see by moving
P. Agrawal, J. Carreira, and J. Malik · 2015
Earlier work this paper cites.
Unsupervised visual representation learning by context prediction
C. Doersch, A. Gupta, and A. A. Efros · 2015
Earlier work this paper cites.
Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
K. He, X. Zhang, S. Ren, and J. Sun · 2015
Earlier work this paper cites.
Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2015
Earlier work this paper cites.
Removing rain from a single image via discriminative sparse coding
Y. Luo, Y. Xu, and H. Ji · 2015
Earlier work this paper cites.
Image database tid2013: Peculiarities, results and perspectives
N. Ponomarenko, L. Jin, O. Ieremeiev, V. Lukin, K. Egiazarian, J. Astola, B. Vozel, K. Chehdi, M. Carli, F. Battisti, et al · 2015
Earlier work this paper cites.
Unsupervised learning of visual representations using videos
X. Wang and A. Gupta · 2015
Earlier work this paper cites.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Earlier work this paper cites.
Rain streak removal using layer priors
Y. Li, R. T. Tan, X. Guo, J. Lu, and M. S. Brown · 2016
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Ambient sound provides supervision for visual learning
A. Owens, J. Wu, J. H. McDermott, W. T. Freeman, and A. Torralba · 2016
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Improved techniques for training gans
T. Salimans, I. Goodfellow, W. Zaremba, V. Cheung, A. Radford, and X. Chen · 2016
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Multi-scale context aggregation by dilated convolutions
F. Yu and V. Koltun · 2016
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Clearing the skies: A deep network architecture for single-image rain removal
X. Fu, J. Huang, X. Ding, Y. Liao, and J. Paisley · 2017
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Removing rain from single images via a deep detail network
X. Fu, J. Huang, D. Zeng, Y. Huang, X. Ding, and J. Paisley · 2017
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Convolutional sparse and low-rank coding-based rain streak removal
H. Zhang and V. M. Patel · 2017
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Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising
K. Zhang, W. Zuo, Y. Chen, D. Meng, and L. Zhang · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
J.-Y. Zhu, T. Park, P. Isola, and A. A. Efros · 2017
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Joint bilayer optimization for single-image rain streak removal
L. Zhu, C.-W. Fu, D. Lischinski, and P.-A. Heng · 2017
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Image blind denoising with generative adversarial network based noise modeling
J. Chen, J. Chen, H. Chao, and M. Yang · 2018
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Residual-guide network for single image deraining
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Self-supervised learning of visual features through embedding images into text topic spaces
L. Gomez, Y. Patel, M. Rusiñol, D. Karatzas, and C. Jawahar · 2017
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Unsupervised feature learning for 3d scene reconstruction with occupancy maps
V. C. Guizilini and F. T. Ramos · 2017
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Lime: Low-light image enhancement via illumination map estimation
X. Guo, Y. Li, and H. Ling · 2017
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Squeeze-and-excitation networks
J. Hu, L. Shen, and G. Sun · 2017
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Image-to-image translation with conditional adversarial networks
P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros · 2017
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Single image rain streak decomposition using layer priors
Y. Li, R. T. Tan, X. Guo, J. Lu, and M. S. Brown · 2017
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Z. Fan, H. Wu, X. Fu, Y. Huang, and X. Ding · 2018
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Unsupervised representation learning by predicting image rotations
S. Gidaris, P. Singh, and N. Komodakis · 2018
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Wespe: weakly supervised photo enhancer for digital cameras
A. Ignatov, N. Kobyshev, R. Timofte, K. Vanhoey, and L. Van Gool · 2018
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A decomposed dual-cross generative adversarial network for image rain removal
X. Jin, Z. Chen, J. Lin, J. Chen, W. Zhou, and C. Shan · 2018
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Non-locally enhanced encoder-decoder network for single image de-raining
G. Li, X. He, W. Zhang, H. Chang, L. Dong, and L. Lin · 2018
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Recurrent squeeze-and-excitation context aggregation net for single image deraining
X. Li, J. Wu, Z. Lin, H. Liu, and H. Zha · 2018
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Unsupervised class-specific deblurring
T. Madam Nimisha, K. Sunil, and A. Rajagopalan · 2018
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Transferable joint attribute-identity deep learning for unsupervised person re-identification
J. Wang, X. Zhu, S. Gong, and W. Li · 2018
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Rain streak removal for single image via kernel guided cnn
Y.-T. Wang, X.-L. Zhao, T.-X. Jiang, L.-J. Deng, Y. Chang, and T.-Z. Huang · 2018
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Unsupervised part-based weighting aggregation of deep convolutional features for image retrieval
J. Xu, C. Shi, C. Qi, C. Wang, and B. Xiao · 2018
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Unsupervised image super-resolution using cycle-in-cycle generative adversarial networks
Y. Yuan, S. Liu, J. Zhang, Y. Zhang, C. Dong, and L. Lin · 2018
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Density-aware single image de-raining using a multi-stream dense network
H. Zhang and V. M. Patel · 2018
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Deep unsupervised saliency detection: A multiple noisy labeling perspective
J. Zhang, T. Zhang, Y. Dai, M. Harandi, and R. Hartley · 2018
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