GuoShi28/CBDNet

Question about CRF

LoSealL opened this issue · 4 comments

Hi, it's an amazing work!
I wonder in your noise model (EQ 3), did you try to train the model with and without CRF? If we train CBDNet without the knowledge of CRF, how much gap will appear in real photo denoising?
I don't find any comparison among EQ 1, 2 and 3.

Hi,
Thank you for your interest! I have added some discussion about the function of ISP in noise modeling in the new version of my paper. But I did not discuss the function of CRF, so I am not quite sure the quantitative gap. I think the more perfect you model the ISP process, the better denoising results you can obtain.

Thanks you:)
And in your paper, you mention a CBDNet-Real, does it mean that you train it with ONLY real photo by L_{tv} and disgard L_{asymm}?

CBDNet Real only train the network using L2 without estimating the noise estimation loss. The network structure is the same with other comparison networks.

Thanks a lot. I have no more questions.