This project provides Keras implementations of Residual Dense Networks and Enhanced SRGAN variants for upscaling low-resolution images to higher resolutions. It includes training scripts using content loss and adversarial loss components, a multi-output VGG19 for perceptual loss computation, and a custom discriminator network. Docker and Google Colab notebooks are provided for training and inference.