This repository provides a TensorFlow and TensorLayer implementation of the SRGAN paper, which uses a GAN-based approach to upscale low-resolution images to high-resolution with perceptual quality. The model employs a generator-discriminator architecture with VGG19-based perceptual loss to achieve photo-realistic results. Training can be done on standard datasets like DIV2K or custom image collections.