AuraSR Introduction

AuraSR utilizes Generative Adversarial Network (GAN) technology to upscale images. The process involves two neural networks: a generator that creates high-resolution images from low-resolution inputs, and a discriminator that evaluates the quality of these images. Through this adversarial process, the generator learns to produce increasingly realistic and detailed images. Unlike diffusion models that use an iterative denoising process, AuraSR generates enhanced images in a single forward pass, making it significantly faster. Users can simply upload their images to the AuraSR platform, and the model will process them, producing a higher resolution output that maintains original quality while adding finer details and reducing artifacts.