limuloo / PyDIff

[IJCAI 2023 ORAL] "Pyramid Diffusion Models For Low-light Image Enhancement" (Official Implementation)
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code #1

Closed flynnamy closed 1 year ago

flynnamy commented 1 year ago

Hi,could you please share the code including model weights for test? @limuloo

limuloo commented 1 year ago

Hi,could you please share the code including model weights for test? @limuloo

Of course, I am currently in the process of organizing the code for this project and will soon provide comprehensive training and testing code, along with pre-trained weights. This process will be completed expeditiously.

danielajisafe commented 1 year ago

Thanks for your great work! In the meantime, please can you share the supplemental document to the main paper? That would be a good read too.

limuloo commented 1 year ago

Thanks for your great work! In the meantime, please can you share the supplemental document to the main paper? That would be a good read too.

Thank you for your interest in our study. To access the supplementary material, please refer to the provided link below.

https://drive.google.com/file/d/1_c5nM_bQkdDMWASpY-3aoxf_YYzfWCwf/view?usp=sharing

Levijpg commented 1 year ago

Hi, I read your paper recently and found it was so inspiring. I'm honestly interested in this work, so I'm afraid to ask if you could share the code of this work, this would be so helpful. @limuloo

limuloo commented 1 year ago

Hi, I read your paper recently and found it was so inspiring. I'm honestly interested in this work, so I'm afraid to ask if you could share the code of this work, this would be so helpful. @limuloo

Thank you for expressing your interest in our research. We are pleased to inform you that the code associated with our study will be made available in the near future.

Sn-121 commented 1 year ago

Hi,your paper is so great,could you please share the code of this work?thanks.

limuloo commented 1 year ago

Hi,your paper is so great,could you please share the code of this work?thanks.

Thank you for acknowledging our research. We have made the code openly accessible for the community.