Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
In this paper, we present SRGAN, a generative adversarial network (GAN) for image super-resolution (SR). To our knowledge, it is the first framework capable of inferring photo-realistic natural images for 4x upscaling factors.
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