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Image Super-resolution Based on No Match Generative Adversarial Network
[1]LI Xuexiang,CAO Qi,LIU Chengming.Image Super-resolution Based on No Match Generative Adversarial Network[J].Journal of Zhengzhou University (Engineering Science),2021,42(05):1-6.[doi:10.13705/j.issn.1671-6833.2021.05.018]
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References:
[1] NASROLLAHI K,MOESLUND T B.Super-resolution:a comprehensive survey[J].Machine vision and applications,2014,25(6):1423-1468.
[2] YUAN Y,LIU S Y,ZHANG J W,et al.Unsupervised image super-resolution using cycle-in-cycle generative adversarial networks[C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).Piscataway:IEEE,2018:814-823.
[3] DONG C,LOY C C,HE K M,et al.Learning a deep convolutional network for image super-resolution[J].Lecture notes in computer science,2014,8692:184-199.
[4] YANG C Y,MA C,YANG M H.Single-image super-resolution:a benchmark[J].Lecture notes in computer science, 2014,8692: 372-386.
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Last Update: 2021-10-11
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