Thanks for your wonderful work! I'm trying to train your model in 512*512 resolution to generate degradation LQ for my HQ dataset. However, due to 512 resolution is too big for my GPU(14G RAM), I can only set batch size 2 and remove the F2N restoration model, just train redegnet, synE and synG. But I can't get a proper degradation result at this setting. I wonder if training with restoration model is necessary or have you made this ablation experiment?
Thanks and watching for your answer!