manuelfritsche / real-world-sr

[ICCVW 2019] PyTorch implementation of DSGAN and ESRGAN-FS from the paper "Frequency Separation for Real-World Super-Resolution". This code was the winning solution of the AIM challenge on Real-World Super-Resolution at ICCV 2019
MIT License
162 stars 37 forks source link

Trained Models #3

Closed TouqeerAhmad closed 4 years ago

TouqeerAhmad commented 4 years ago

Hi Manuel,

I was unable to locate the trained models for dsgan. I wanted to check if you have already shared the trained models or plan to share?

Thanks, Touqeer

manuelfritsche commented 4 years ago

The pre-trained models are now available. Sorry for the delay.