Closed yunseok624 closed 5 months ago
Hello, the experiments branch is a work in progress. You can adjust the args in the config to match what you have described. And the discriminator takes in the low-res images + the real/fake image as input.
We did not pretrain a PSNR-oriented model like in real-esrgan. We just trained the whole model with all losses that are specified in the config files.
And yes, we used imagery from the PROBA-V challenge.
Hello!
I'm trying to train the esrgan on proba-v dataset and I came across some questions I coudln't find in the paper.
Thank you in advance.