Abstract:Picture Super-resolution is a by and large analysed issue in computer vision, where the objective is to change over a low-resolution picture to a highresolution picture. As of now, deep learning methods such as convolution neural systems and generative adversarial networks are being utilized to perform superresolution with results competitive to the best in class. In this paper, a generative adversarial network, SRGAN, is proposed for super-resolution with a perceptual loss work comprising of an adversarial lo… Show more
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