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I noticed the code in the net.py and found the features[variable: prs] extracted by the Prior Estimation Network is not concatenated with the features extracted by the Coarse SR network. It seems like the pipeline in this code is Coarse -> Fine SR Enc -> Fine SR Dec which leaves the Prior Estimation Network as a independent module.
It is a little different from what illustated in the Figure2 in the FSRNet paper. Is there any mistakes or my mis-understanding?
I noticed the code in the
net.py
and found the features[variable: prs] extracted by the Prior Estimation Network is not concatenated with the features extracted by the Coarse SR network. It seems like the pipeline in this code is Coarse -> Fine SR Enc -> Fine SR Dec which leaves the Prior Estimation Network as a independent module.It is a little different from what illustated in the Figure2 in the FSRNet paper. Is there any mistakes or my mis-understanding?
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