I’ve been super intrigued by image super resolution problems. Reading online, I found the SRGAN paper to be interesting, especially how the PSNR and SSIM metrics are unreliable when compared to human perception of quality. I wanted to create a faster version of the SRGAN, so I decided to use a MobileNet as the generator. This idea is somewhat inspired by Realtime Image Enhancement, Galteri et al. I want to use it to upsample low quality videos, for scenarios when you may not have access to high speed internet. You can leverage the GPU to do synthetic super resolution. I would appreciate any ideas towards increasing speed/quality of this project.

Here is the implementation in Tensorflow 2.0: Fast-SRGAN. Take a look, and feedback is really appreciated!