About this document
Image Super Resolution Using GANs by Sam Rock is a document available to read on EtoBox.
This document provides an overview of a major project on image super resolution using generative adversarial networks. The project aims to develop a deep learning model to enhance low resolution images and produce high resolution images by training a generator network and discriminator network together. The methodology section explains that a SRGAN architecture will be used which employs an adversarial loss and content loss to generate visually pleasing high resolution images from low resolution inputs. Har
- Author
- Sam Rock
- Language
- EN