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Implicit neural representations have recently demonstrated promising potential in arbitrary-scale Super-Resolution (SR) of images.
A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
David Martin, Charless Fowlkes, Doron Tal, and Jitendra Malik · 2001
Earlier work this paper cites.
Super-resolution reconstruction of compressed video using transform-domain statistics
Bahadir K Gunturk, Yucel Altunbasak, and Russell M Mersereau · 2004
Earlier work this paper cites.
Sub-pixel mapping of rural land cover objects from fine spatial resolution satellite sensor imagery using super-resolution pixel-swapping
Matt W Thornton, Peter M Atkinson, and DA Holland · 2006
Earlier work this paper cites.
Very low resolution face recognition problem
Wilman WW Zou and Pong C Yuen · 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
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On single image scale-up using sparse-representations
Roman Zeyde, Michael Elad, and Matan Protter · 2012
Earlier work this paper cites.
Cardiac image super-resolution with global correspondence using multi-atlas patchmatch
Wenzhe Shi, Jose Caballero, Christian Ledig, Xiahai Zhuang, Wenjia Bai, Kanwal Bhatia, Antonio M Simoes Monteiro de Marvao, Tim Dawes, Declan O’Regan, and Daniel Rueckert · 2013
Earlier work this paper cites.
Image super-resolution using deep convolutional networks
Chao Dong, Chen Change Loy, Kaiming He, and Xiaoou Tang · 2015
Earlier work this paper cites.
Single image super-resolution from transformed self-exemplars
Jia-Bin Huang, Abhishek Singh, and Narendra Ahuja · 2015
Earlier work this paper cites.
Accelerating the super-resolution convolutional neural network
Chao Dong, Chen Change Loy, and Xiaoou Tang · 2016
Earlier work this paper cites.
Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network
Wenzhe Shi, Jose Caballero, Ferenc Huszár, Johannes Totz, Andrew P Aitken, Rob Bishop, Daniel Rueckert, and Zehan Wang · 2016
Earlier work this paper cites.
Ntire 2017 challenge on single image super-resolution: Dataset and study
Eirikur Agustsson and Radu Timofte · 2017
Cited alongside, same era.
Deep wavelet prediction for image super-resolution
Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, and Vishal Monga · 2017
Cited alongside, same era.
Enhanced deep residual networks for single image super-resolution
Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, and Kyoung Mu Lee · 2017
Cited alongside, same era.
Second-order attention network for single image super-resolution
Tao Dai, Jianrui Cai, Yongbing Zhang, Shu-Tao Xia, and Lei Zhang · 2019
Cited alongside, same era.
Meta-sr: A magnification-arbitrary network for super-resolution
Xuecai Hu, Haoyuan Mu, Xiangyu Zhang, Zilei Wang, Tieniu Tan, and Jian Sun · 2019
Cited alongside, same era.
Multi-level wavelet convolutional neural networks
Pengju Liu, Hongzhi Zhang, Wei Lian, and Wangmeng Zuo · 2019
Ying-Tian Liu, Yuan-Chen Guo, and Song-Hai Zhang · 2021
Later among the works it cites.
Image super-resolution with non-local sparse attention
Yiqun Mei, Yuchen Fan, and Yuqian Zhou · 2021
Later among the works it cites.
Xingqian Xu, Zhangyang Wang, and Humphrey Shi · 2021
Later among the works it cites.
Local texture estimator for implicit representation function
Jaewon Lee and Kyong Hwan Jin · 2022
Later among the works it cites.
Efficient non-local contrastive attention for image super-resolution
Bin Xia, Yucheng Hang, Yapeng Tian, Wenming Yang, Qingmin Liao, and Jie Zhou · 2022
Later among the works it cites.
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Cited alongside, same era.
Single image super-resolution via a holistic attention network
Ben Niu, Weilei Wen, Wenqi Ren, Xiangde Zhang, Lianping Yang, Shuzhen Wang, Kaihao Zhang, Xiaochun Cao, and Haifeng Shen · 2020
Cited alongside, same era.
Wavelet-based dual recursive network for image super-resolution
Jingwei Xin, Jie Li, Xinrui Jiang, Nannan Wang, Heng Huang, and Xinbo Gao · 2020
Cited alongside, same era.
Wavelet-based residual attention network for image super-resolution
Shengke Xue, Wenyuan Qiu, Fan Liu, and Xinyu Jin · 2020
Cited alongside, same era.
Swinir: Image restoration using swin transformer
Jingyun Liang, Jiezhang Cao, Guolei Sun, Kai Zhang, Luc Van Gool, and Radu Timofte · 2021
Cited alongside, same era.
Pre-trained image processing transformer
Hanting Chen, Yunhe Wang, Tianyu Guo, Chang Xu, Yiping Deng, Zhenhua Liu, Siwei Ma, Chunjing Xu, Chao Xu, and Wen Gao
Cited in the paper.
Learning continuous image representation with local implicit image function
Yinbo Chen, Sifei Liu, and Xiaolong Wang
Cited in the paper.
Joint wavelet sub-bands guided network for single image super-resolution
Wenbin Zou, Liang Chen, Yi Wu, Yunchen Zhang, Yuxiang Xu, and Jun Shao · 2022
Later among the works it cites.
Cascaded local implicit transformer for arbitrary-scale super-resolution
Hao-Wei Chen, Yu-Syuan Xu, Min-Fong Hong, Yi-Min Tsai, Hsien-Kai Kuo, and Chun-Yi Lee · 2023
Later among the works it cites.
Wavelet detail perception network for single image super-resolution
Wei-Yen Hsu and Pei-Wen Jian · 2023
Later among the works it cites.
Minghong Duan, Linhao Qu, Zhiwei Yang, Manning Wang, Chenxi Zhang, and Zhijian Song · 2024
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Wavemixsr: Resource-efficient neural network for image super-resolution
Pranav Jeevan, Akella Srinidhi, Pasunuri Prathiba, and Amit Sethi · 2024
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