Ysz2022 / NeRCo

[ICCV 2023] Implicit Neural Representation for Cooperative Low-light Image Enhancement

Home Page:https://openaccess.thecvf.com/content/ICCV2023/html/Yang_Implicit_Neural_Representation_for_Cooperative_Low-light_Image_Enhancement_ICCV_2023_paper.html

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training dataset design

cxsweet opened this issue · comments

May I ask if it is necessary to train the model using one's own dataset? Do the data in the dataset need to be paired? For example, for dim and bright images in the same scene (it is required to first capture dim images before lighting to capture bright images when creating a dataset)% 0A, or does it mean that as long as the dim and bright images in the same scene are present, there is no requirement for background consistency

Our method is self-supervised (or unsupervised), you can train model by random bright images and dark images. There is no requirement for pairing

Our method is self-supervised (or unsupervised), you can train model by random bright images and dark images. There is no requirement for pairing

Thank you for your answer. I have just started learning this knowledge and there are still many areas I don't understand

Thanks for your interest :)

BTW, I will temporally close this issue, you are welcome to reopen it if you have any further questions!