Fetching the paper…
Reading the bibliography…
Structures matter in single image super resolution (SISR).
Lanczos filtering in one and two dimensions
Claude E Duchon · 1979
Earlier work this paper cites.
Cubic convolution interpolation for digital image processing. ieee trans acoust speech signal process
Robert Keys · 1982
Earlier work this paper cites.
Improving resolution by image registration
Michal Irani and Shmuel Peleg · 1991
Earlier work this paper cites.
A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
David R. Martin, Charless C. Fowlkes, Doron Tal, and Jitendra Malik · 2001
Earlier work this paper cites.
Example-based super-resolution
William T. Freeman, Thouis R. Jones, and Egon C. Pasztor · 2002
Earlier work this paper cites.
Super-resolution through neighbor embedding
Hong Chang, Dit-Yan Yeung, and Yimin Xiong · 2004
Earlier work this paper cites.
Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, Eero P Simoncelli, et al · 2004
Earlier work this paper cites.
Image upsampling via imposed edge statistics
Raanan Fattal · 2007
Earlier work this paper cites.
Image super-resolution using gradient profile prior
Jian Sun, Zongben Xu, and Heung-Yeung Shum · 2008
Earlier work this paper cites.
Image super-resolution as sparse representation of raw image patches
Jianchao Yang, John Wright, Thomas Huang, and Yi Ma · 2008
Earlier work this paper cites.
Super-resolution from a single image
Daniel Glasner, Shai Bagon, and Michal Irani · 2009
Earlier work this paper cites.
Single-image super-resolution using sparse regression and natural image prior
Kwang In Kim and Younghee Kwon · 2010
Earlier work this paper cites.
Gradient profile prior and its applications in image super-resolution and enhancement
Jian Sun, Zongben Xu, and Heung-Yeung Shum · 2010
Earlier work this paper cites.
Robust web image/video super-resolution
Zhiwei Xiong, Xiaoyan Sun, and Feng Wu · 2010
Earlier work this paper cites.
Image super-resolution via sparse representation
Jianchao Yang, John Wright, Thomas S Huang, and Yi Ma · 2010
Earlier work this paper cites.
On single image scale-up using sparse-representations
Roman Zeyde, Michael Elad, and Matan Protter · 2010
Earlier work this paper cites.
Image and video upscaling from local self-examples
Gilad Freedman and Raanan Fattal · 2011
Earlier work this paper cites.
Low-complexity single-image super-resolution based on nonnegative neighbor embedding
Marco Bevilacqua, Aline Roumy, Christine Guillemot, and Marie-Line Alberi-Morel · 2012
Earlier work this paper cites.
Learning a deep convolutional network for image super-resolution
Chao Dong, Chen Change Loy, Kaiming He, and Xiaoou Tang · 2014
Cited alongside, same era.
Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
Cited alongside, same era.
Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
Cited alongside, same era.
Single image super-resolution from transformed self-exemplars
Jia-Bin Huang, Abhishek Singh, and Narendra Ahuja · 2015
Cited alongside, same era.
Photo-realistic single image super-resolution using a generative adversarial network
Christian Ledig, Lucas Theis, Ferenc Huszár, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, et al · 2017
Later among the works it cites.
Deep photo style transfer
Fujun Luan, Sylvain Paris, Eli Shechtman, and Kavita Bala · 2017
Later among the works it cites.
Automatic differentiation in pytorch
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer · 2017
Later among the works it cites.
Enhancenet: Single image super-resolution through automated texture synthesis
Mehdi SM Sajjadi, Bernhard Scholkopf, and Michael Hirsch · 2017
Later among the works it cites.
Deep edge guided recurrent residual learning for image super-resolution
Wenhan Yang, Jiashi Feng, Jianchao Yang, Fang Zhao, Jiaying Liu, Zongming Guo, and Shuicheng Yan · 2017
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Alec Radford, Luke Metz, and Soumith Chintala · 2015
Cited alongside, same era.
Single image superresolution based on gradient profile sharpness
Qing Yan, Yi Xu, Xiaokang Yang, and Truong Q Nguyen · 2015
Cited alongside, same era.
Modeling deformable gradient compositions for single-image super-resolution
Yu Zhu, Yanning Zhang, Boyan Bonev, and Alan L Yuille · 2015
Cited alongside, same era.
Accelerating the super-resolution convolutional neural network
Chao Dong, Chen Change Loy, and Xiaoou Tang · 2016
Cited alongside, same era.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Cited alongside, same era.
Perceptual losses for real-time style transfer and super-resolution
Justin Johnson, Alexandre Alahi, and Li Fei-Fei · 2016
Cited alongside, same era.
Accurate image super-resolution using very deep convolutional networks
Jiwon Kim, Jung Kwon Lee, and Kyoung Mu Lee · 2016
Cited alongside, same era.
Yochai Blau, Roey Mechrez, Radu Timofte, Tomer Michaeli, and Lihi Zelnik-Manor · 2018
Later among the works it cites.
The relativistic discriminator: a key element missing from standard gan, 2018
Alexia Jolicoeur-Martineau · 2018
Later among the works it cites.
Recovering realistic texture in image super-resolution by deep spatial feature transform
Xintao Wang, Ke Yu, Chao Dong, and Chen Change Loy · 2018
Later among the works it cites.
Esrgan: Enhanced super-resolution generative adversarial networks
Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu, Yihao Liu, Chao Dong, Yu Qiao, and Chen Change Loy · 2018
Later among the works it cites.
The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
Later among the works it cites.
Image super-resolution using very deep residual channel attention networks
Yulun Zhang, Kunpeng Li, Kai Li, Lichen Wang, Bineng Zhong, and Yun Fu · 2018
Later among the works it cites.
Residual dense network for image super-resolution
Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, and Yun Fu · 2018
Later among the works it cites.
Night-to-day image translation for retrieval-based localization
Asha Anoosheh, Torsten Sattler, Radu Timofte, Marc Pollefeys, and Luc Van Gool · 2019
Later among the works it cites.
Feedback network for image super-resolution
Zhen Li, Jinglei Yang, Zheng Liu, Xiaomin Yang, Gwanggil Jeon, and Wei Wu · 2019
Later among the works it cites.
Srobb: Targeted perceptual loss for single image super-resolution
Mohammad Saeed Rad, Behzad Bozorgtabar, Urs-Viktor Marti, Max Basler, Hazim Kemal Ekenel, and Jean-Philippe Thiran · 2019
Later among the works it cites.
Natural and realistic single image super-resolution with explicit natural manifold discrimination
Jae Woong Soh, Gu Yong Park, Junho Jo, and Nam Ik Cho · 2019
Later among the works it cites.
Cfsnet: Toward a controllable feature space for image restoration
Wei Wang, Ruiming Guo, Yapeng Tian, and Wenming Yang · 2019
Later among the works it cites.