Shypd.aiThe largest open index of AI toolsSRGAN-tensorflow is an Open Source tool that provides a TensorFlow implementation of the SRGAN algorithm for single image super-resolution. It enhances image resolution using a generative adversarial network.
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SRGAN-tensorflow offers a TensorFlow implementation of the SRGAN algorithm, designed for single image super-resolution. This project is based on the impressive work "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network." It allows users to upscale images, achieving results comparable to those presented in the original research paper, even with limited resources. The tool supports both testing with pre-trained models and training new models on custom datasets like RAISE. It provides scripts for running inference, testing, and training SRResnet and SRGAN models with different perceptual losses (MSE and VGG54). The code is highly inspired by pix2pix-tensorflow and includes detailed instructions for setting up dependencies and executing various modes.
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