[ICCVW 2019] PyTorch implementation of DSGAN and ESRGAN-FS from the paper "Frequency Separation for Real-World Super-Resolution". This code was the winning solution of the AIM challenge on Real-World Super-Resolution at ICCV 2019
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didn't match because some of the arguments have invalid types: (list, keepdim=bool) #14
./PerceptualSimilarity/models/networks_basic.py return in_tens.mean([2,3],keepdim=keepdim) is right code?
change it as: kk = in_tens.mean(2,keepdim=keepdim) return kk.mean(3,keepdim=keepdim)