Open vfcerexwn opened 3 months ago
Does it mean the same image with different noise?
Intrinsically yes. condition
implies the same underlying structure as X
but with different observation noise. condition
and X
are the same indexed slices from different MRI acquisitions, which contain different noise. However, only condition
is used as inputs to the model and X
here is used as reference that the model is optimized towards.
I encounter some trouble when trying to read your code. I plan to change the dataset to my version, but I do not understand what does 'condition' mean? Could you please explain it to me? ret = dict(X=raw_input[[-1], :, :], condition=raw_input[:-1, :, :])