[MVA] SinGAN-for-image-Denoising

This Work was done by me Wassim BOUATAY and Amrou CHOUCHENE as part of the course: Object Recgonition and Computer Vision.

The goal of the project is to apply SinGAN, which normally aims to generate new samples, for image denoising. Our work beats BM3D and FFDnet in terms of PSNR.

This work is based on:

Project | Arxiv | CVF

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image", ICCV 2019 Best paper award (Marr prize)