downsample function and loss function normalization at training stage

[HaoDot]

Hi @chosj95 , MIMO-UNet is a fantastic work! THX for sharing!
However, there are some problems confusing me a lot.

• During the training stage, the different size of blurry images are generated by nearest interpolation. However, the corresponding supervision of different size sharp images are generated by bilinear interpolation, rather than nearest interpolation again. Intuitively, the interpolation function should be the same.
• In the paper, function 7&8 have denominators in loss function for normalization. However, the code of loss function hasn't the denominators that I have mentioned above. I take it that chances are that the model will have better performance with normalization in loss function.

I am eagerly waitting for your explanation. THX a lot!

[HaoDot]

Hi,@chosj95 #6 has solved my problem2. So the remaining problem is just problem1! Waiting for your reply! THX.