https://github.com/hamadichihaoui/BIRD

This is the official implementation of "Blind Image Restoration via Fast Diffusion Inversion"
https://github.com/hamadichihaoui/BIRD

Last synced: 7 months ago
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This is the official implementation of "Blind Image Restoration via Fast Diffusion Inversion"

• Host: GitHub
• URL: https://github.com/hamadichihaoui/BIRD
• Owner: hamadichihaoui
• Created: 2024-05-28T11:26:15.000Z (over 1 year ago)
• Default Branch: master
• Last Pushed: 2024-12-11T15:11:17.000Z (10 months ago)
• Last Synced: 2024-12-11T16:24:11.529Z (10 months ago)
• Language: Python
• Homepage:
• Size: 50.3 MB
• Stars: 246
• Watchers: 5
• Forks: 19
• Open Issues: 7
• Metadata Files:
  • Readme: README.md

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• awesome-diffusion-categorized - [Code

README

          
# Blind Image Restoration via Fast Diffusion Inversion (BIRD)

This is the official implementation of "Blind Image Restoration via Fast Diffusion Inversion

". [arxiv](https://arxiv.org/abs/2405.19572)

## Environment 

```

pip install numpy torch blobfile tqdm pyYaml pillow diffusers   

```

## Pre-Trained Models

For face restoration, download the pretrained [model](https://drive.google.com/file/d/1qMs7tNGV3tkOZNKH5L130dkwsmobEJdh/view?usp=sharing) from and put it into ```checkpoints/```.

## Blind Deblurring

```

python blind_deblurring.py    

```

![image info](results/blind_deblurring.png)

## Non-uniform Deblurring

```

python non_uniform_deblurring.py    

```

![image info](results/non_uniform_deblurring.png)

## Inpainting

```

python inpainting.py    

```

![image info](results/inpainted.png)

## Denoising

```

python denoising.py    

```

![image info](results/denoised.png)

## Superresolution

```

python super_resolution.py    

```

![image info](results/super_resolution.png)

## References

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

```

@article{chihaoui2024blind,

  title={Blind Image Restoration via Fast Diffusion Inversion},

  author={Chihaoui, Hamadi and Lemkhenter, Abdelhak and Favaro, Paolo},

  journal={arXiv preprint arXiv:2405.19572},

  year={2024}

}

```