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Single-image super-resolution (SISR) is an important task in image processing, which aims to enhance the resolution of imaging systems.
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Inception-v4, inception-resnet and the impact of residual connections on learning. In AAAI
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Ntire 2017 challenge on single image super-resolution: Methods and results. In CVPRW
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Attention is all you need. In NeurIPS
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Deep edge guided recurrent residual learning for image super-resolution
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Light-field image super-resolution using convolutional neural network
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Hallucinating very low-resolution unaligned and noisy face images by transformative discriminative autoencoders. In CVPR
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The 2018 pirm challenge on perceptual image super-resolution. In ECCVW
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The perception-distortion tradeoff. In CVPR
Yochai Blau and Tomer Michaeli. 2018 · 2018
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To learn image super-resolution, use a GAN to learn how to do image degradation first. In ECCV
Adrian Bulat, Jing Yang, and Georgios Tzimiropoulos. 2018 · 2018
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Efficient and accurate MRI super-resolution using a generative adversarial network and 3D multi-level densely connected network. In MICCAI
Yuhua Chen, Feng Shi, Anthony G Christodoulou, Yibin Xie, Zhengwei Zhou, and Debiao Li. 2018 · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
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Image super-resolution using knowledge distillation. In ACCV
Qinquan Gao, Yan Zhao, Gen Li, and Tong Tong. 2018 · 2018
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Image super-resolution via dual-state recurrent networks. In CVPR
Wei Han, Shiyu Chang, Ding Liu, Mo Yu, Michael Witbrock, and Thomas S Huang. 2018 · 2018
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Component divide-and-conquer for real-world image super-resolution. In ECCV
Pengxu Wei, Ziwei Xie, Hannan Lu, Zongyuan Zhan, Qixiang Ye, Wangmeng Zuo, and Liang Lin. 2020 · 2020
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Unified dynamic convolutional network for super-resolution with variational degradations. In CVPR
Yu-Syuan Xu, Shou-Yao Roy Tseng, Yu Tseng, Hsien-Kai Kuo, and Yi-Min Tsai. 2020 · 2020
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Learning texture transformer network for image super-resolution. In CVPR
Fuzhi Yang, Huan Yang, Jianlong Fu, Hongtao Lu, and Baining Guo. 2020 · 2020
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A stereo attention module for stereo image super-resolution
Xinyi Ying, Yingqian Wang, Longguang Wang, Weidong Sheng, Wei An, and Yulan Guo. 2020 · 2020
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Low resolution face recognition using a two-branch deep convolutional neural network architecture
Erfan Zangeneh, Mohammad Rahmati, and Yalda Mohsenzadeh. 2020 · 2020
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A new deep generative network for unsupervised remote sensing single-image super-resolution
Juan Mario Haut, Ruben Fernandez-Beltran, Mercedes E Paoletti, Javier Plaza, Antonio Plaza, and Filiberto Pla. 2018 · 2018
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Squeeze-and-excitation networks. In CVPR
Jie Hu, Li Shen, and Gang Sun. 2018 · 2018
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Fast and accurate single image super-resolution via information distillation network. In CVPR
Zheng Hui, Xiumei Wang, and Xinbo Gao. 2018 · 2018
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Enhancing the spatial resolution of stereo images using a parallax prior. In CVPR
Daniel S Jeon, Seung-Hwan Baek, Inchang Choi, and Min H Kim. 2018 · 2018
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The relativistic discriminator: a key element missing from standard GAN
Alexia Jolicoeur-Martineau. 2018 · 2018
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Non-local recurrent network for image restoration
Ding Liu, Bihan Wen, Yuchen Fan, Chen Change Loy, and Thomas S Huang. 2018 · 2018
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An Effective Single-Image Super-Resolution Model Using Squeeze-and-Excitation Networks. In NeurIPS
Kangfu Mei, Aiwen Jiang, Juncheng Li, Jihua Ye, and Mingwen Wang. 2018 · 2018
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Remote sensing image super-resolution via mixed high-order attention network
Dongyang Zhang, Jie Shao, Xinyao Li, and Heng Tao Shen. 2020 · 2020
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ESSAformer: Efficient Transformer for Hyperspectral Image Super-resolution. In CVPR
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Srformer: Permuted self-attention for single image super-resolution. In ICCV
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