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Работы, на которые ссылается эта работа
Работ: 36
Работа: Adaptive feature refinement for texture-preserving single image super-resolution
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Christian Ledig, Lucas Theis, Ferenc Huszár +8
Статья2017Цитирований: 6ABICBAM: Convolutional Block Attention Module
Sanghyun Woo, Jongchan Park, Joon‐Young Lee +1
Глава2018Цитирований: 6ABIImage Super-Resolution Using Deep Convolutional Networks
Chao Dong, Chen Change Loy, Kaiming He +1
Статья2015Цитирований: 5ABIAccurate Image Super-Resolution Using Very Deep Convolutional Networks
Jiwon Kim, Jung Kwon Lee, Kyoung Mu Lee
Статья2016Цитирований: 4ABIESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
Xintao Wang, Ke Yu, Shixiang Wu +5
Глава2019Цитирований: 4ABIImage Super-Resolution Using Very Deep Residual Channel Attention Networks
Yulun Zhang, Kunpeng Li, Kai Li +3
Глава2018Цитирований: 4ABIDeeply-Recursive Convolutional Network for Image Super-Resolution
Jiwon Kim, Jung Kwon Lee, Kyoung Mu Lee
Препринт2016Цитирований: 3ABISecond-Order Attention Network for Single Image Super-Resolution
Tao Dai, Jianrui Cai, Yongbing Zhang +2
Статья2019Цитирований: 2ABIResidual Dense Network for Image Super-Resolution
Yulun Zhang, Yapeng Tian, Yu Kong +2
Статья2018Цитирований: 2ABI