Shypd.aiThe largest open index of AI toolspytorch-SRResNet is an open-source Coding & Development tool that provides a PyTorch implementation of the SRResNet model for single image super-resolution. It uses a generative adversarial network to produce photo-realistic high-resolution images from low-resolution inputs.
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pytorch-SRResNet offers a PyTorch implementation of the SRResNet model, designed for photo-realistic single image super-resolution using a Generative Adversarial Network (GAN). This open-source tool allows users to train and evaluate super-resolution models, with options for batch size, number of epochs, learning rate, and GPU usage. It supports content loss (VGG loss) and provides scripts for training, demonstration, and evaluation. The implementation also includes data augmentation techniques like flipping, rotation, and downsizing, and uses instance normalization for improved performance. While the current PSNR performance is noted as not yet matching the original paper, it serves as a valuable resource for researchers and developers in image enhancement.
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