Hi aiff22,
when i used the network in my task , it seems that the network not only learns the changes of content and texture and etc, but also learns the deformation between GT and Input images.
The preprocessing of the dataset is also basically similar to the preprocessing you listed here(aiff22/DPED#7). So, is it possibile the network learns the deformation or the differences of the preprocess casue the results?
Finally, can you provide the code of preprocessing data?