DiffPIR
"Denoising Diffusion Models for Plug-and-Play Image Restoration", Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, Bihan Wen, Radu Timofte, Luc Van Gool.
Restore images using advanced techniques without needing to train models yourself.
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Free · no card · unsubscribe anytime"Denoising Diffusion Models for Plug-and-Play Image Restoration", Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, Bihan Wen, Radu Timofte, Luc Van Gool.
DiffPIR has 498 stars on GitHub. It has been forked 51 times. DiffPIR is written mainly in Python. It has been in active development since 2022. DiffPIR is available under the MIT license. Its main topics are diffusion-models, image-reatoration, training-free.
What is DiffPIR?
"Denoising Diffusion Models for Plug-and-Play Image Restoration", Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, Bihan Wen, Radu Timofte, Luc Van Gool.
Is DiffPIR open source?
DiffPIR is an open-source project. It is released under the MIT license.
Is DiffPIR free?
Yes. DiffPIR is free and open source — you can use, modify and self-host it.
What license does DiffPIR use?
DiffPIR is available under the MIT license.
What language is DiffPIR written in?
DiffPIR is written mainly in Python.
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