Thanks for your impressive work, PASD. Now I encounter some issues while reproducing your Real-IR experiment results and would appreciate your assistance.
After training the model for 500k steps(as instructed in this repo), I tested the performance of different step model weights on the benchmark dataset, like 50k, 100k, 200k. However, the inference results of these weights I replicated are ALL NOT as impressive as yours. These are looked more blurry&noisy and lack sharpness. (FYI, I have included several comparative sample images from DRealSRx4 dataset, 128px -> 512px, in the attachment)
After code checking, I think the code is clean. Perhaps there's a discrepancy in the configuration of the degraded model parameters, i.e real-esrgan configure parameters? Or there are any magic training trick?
I would greatly appreciate any ideas or assistance you can provide! Thank you again!
Thanks for your impressive work, PASD. Now I encounter some issues while reproducing your Real-IR experiment results and would appreciate your assistance.
After training the model for 500k steps(as instructed in this repo), I tested the performance of different step model weights on the benchmark dataset, like 50k, 100k, 200k. However, the inference results of these weights I replicated are ALL NOT as impressive as yours. These are looked more blurry&noisy and lack sharpness. (FYI, I have included several comparative sample images from DRealSRx4 dataset, 128px -> 512px, in the attachment)
After code checking, I think the code is clean. Perhaps there's a discrepancy in the configuration of the degraded model parameters, i.e real-esrgan configure parameters? Or there are any magic training trick?
I would greatly appreciate any ideas or assistance you can provide! Thank you again!