Zero Shot Image Restoration Using Denoising Diffusion Null-Space Model

This repository contains the code release for Zero Shot Image Restoration Using Denoising Diffusion Null-Space Model. DDNM can solve various image restoration tasks without any optimization or training! Yes, in a zero-shot manner.

References

If you find this repository useful for your research, please cite the following work.

@article{wang2022ddnm,
title={Zero Shot Image Restoration Using Denoising Diffusion Null-Space Model},
author={Yinhuai, Wang and Jiwen, Yu and Jian, Zhang},
journal={arXiv:2212.00490},
year={2022}}
}

This implementation is based on / inspired by: - https://github.com/wyhuai/RND (null-space learning) - https://github.com/andreas128/RePaint (time-travel trick) - https://github.com/bahjat-kawar/ddrm (code structure)