1/ "ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks" is so packed with great insights. Of particular note: They pretrained their generator on L1 loss, and report that it actually improves quality. https://arxiv.org/abs/1809.00219
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Maybe I didin't catch it, but I didn't see any reference in the paper. I saw it in code. It was weird because the code had option to switch to pixel shuffle, but never did.
Thanks. Twitter will use this to make your timeline better. UndoUndo
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