Super Resolution using GANs

Overview

This repository contains the implementation of an Image Super Resolution model using Generative Adversarial Networks (GANs). The primary goal is to enhance the resolution and quality of low-resolution images without relying on pre-trained models. The approach leverages a custom-designed GAN architecture tailored for high-quality image upscaling.