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Traditional works have shown that patches in a natural image tend to redundantly recur many times inside the image, both within the same scale, as well as across different scales.
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Clément Farabet, Camille Couprie, Laurent Najman, and Yann LeCun, · 2012
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Marco Bevilacqua, Aline Roumy, Christine Guillemot, and Marie Line Alberi-Morel, · 2012
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“Learning a deep convolutional network for image super-resolution,”
Chao Dong, Chen Change Loy, Kaiming He, and Xiaoou Tang, · 2014
Cited alongside, same era.
“Adam: A method for stochastic optimization,”
Diederik Kingma and Jimmy Ba, · 2014
Cited alongside, same era.
“A+: Adjusted anchored neighborhood regression for fast super-resolution,”
Radu Timofte, Vincent De Smet, and Luc Van Gool, · 2014
Cited alongside, same era.
“Going deeper with convolutions,”
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich, · 2015
Cited alongside, same era.
“Compression artifacts reduction by a deep convolutional network,”
Chao Dong, Yubin Deng, Chen Change Loy, and Xiaoou Tang, · 2015
Cited alongside, same era.
“Delving deep into rectifiers: Surpassing human-level performance on imagenet classification,”
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun, · 2015
Later among the works it cites.
“Deeply improved sparse coding for image super-resolution. arxiv preprint,”
Z Wang, D Liu, J Yang, W Han, and T Huang, · 2015
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“Video super-resolution with convolutional neural networks,”
Armin Kappeler, Seunghwan Yoo, Qiqin Dai, and Aggelos K Katsaggelos, · 2016
Later among the works it cites.
“Image super-resolution using deep convolutional networks,”
Chao Dong, Chen Change Loy, Kaiming He, and Xiaoou Tang, · 2016
Later among the works it cites.
“Accelerating the super-resolution convolutional neural network,”
Chao Dong, Chen Change Loy, and Xiaoou Tang, · 2016
Later among the works it cites.
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Fisher Yu and Vladlen Koltun, · 2015
Cited alongside, same era.
“Delving deep into rectifiers: Surpassing human-level performance on imagenet classification,”
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun, · 2015
Cited alongside, same era.
Jiwon Kim, Jung Kwon Lee, and Kyoung Mu Lee, · 2016
Later among the works it cites.
“Building dual-domain representations for compression artifacts reduction,”
Jun Guo and Hongyang Chao, · 2016
Later among the works it cites.