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DDNM
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DDNM

[ICLR 2023 Oral] Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

by wyhuai · GitHub
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diffusion-modelsiclriclr2023MITPython
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Restore images like old photos or blurry pictures without needing any training or adjustments.

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1 3471 346
2026-07-202026-08-31
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📄 About

[ICLR 2023 Oral] Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

DDNM has 1.3k stars on GitHub. It has been forked 105 times. DDNM is written mainly in Python. It has been in active development since 2022. DDNM is available under the MIT license. Its main topics are diffusion-models, iclr, iclr2023, image-restoration.

Frequently asked questions

What is DDNM?

[ICLR 2023 Oral] Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

Is DDNM open source?

DDNM is an open-source project. It is released under the MIT license.

Is DDNM free?

Yes. DDNM is free and open source — you can use, modify and self-host it.

What license does DDNM use?

DDNM is available under the MIT license.

What language is DDNM written in?

DDNM is written mainly in Python.

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