Directly Denosing Diffusion Models

Directly Denoising Diffusion Models: a simple and generic approach for generating realistic images with few-step sampling, while multistep sampling is still preserved for better performance.

Data and Resources

Cite this as

Dan Zhang, Jingjing Wang, Feng Luo (2024). Dataset: Directly Denosing Diffusion Models. https://doi.org/10.57702/yt84j2em

DOI retrieved: December 2, 2024

Additional Info

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Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2405.13540
Author Dan Zhang
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Jingjing Wang
Feng Luo
Homepage https://github.com/TheLuoFengLab/DDDM