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Simple and Efficient Unpaired Real-world Super-Resolution using Image Statistics
[article]
2021
arXiv
pre-print
Learning super-resolution (SR) network without the paired low resolution (LR) and high resolution (HR) image is difficult because direct supervision through the corresponding HR counterpart is unavailable. Recently, many real-world SR researches take advantage of the unpaired image-to-image translation technique. That is, they used two or more generative adversarial networks (GANs), each of which translates images from one domain to another domain, \eg, translates images from the HR domain to
arXiv:2109.09071v1
fatcat:d7aha2nn4zba3b7i3h2rv5uztq