Yep, and it doesn't show pixel 1:1 or with 800% or 1600% zoom against NN, linear, bicubic which sort of give you an idea of how good the SR effect is. Sure I c

Yep, and it doesn't show pixel 1:1 or with 800% or 1600% zoom against NN, linear, bicubic which sort of give you an idea of how good the SR effect is. Sure I can download it on my PC and test it, but honestly I'd rather pick and old paper and implement my own version that runs faster and I can programatically apply it over sets of images if I want to. Not bragging, I've been meaning to do this "when I have spare time" and since lockdown I've been busier than ever /facepalm Since my use case calls for running in CPU (for the moment at least) I was looking on a few architectures that are more CPU-friendly (smaller net, not as many convolutions) than GANs.