Super_res_net does it include generator and discriminator or only generator

Dear all,

In the documentation of the super_res_net, it is written that the code is based on the implementation of this github page (GitHub - sgrvinod/a-PyTorch-Tutorial-to-Super-Resolution: Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution).
This github page has two architectures SRResNet and SRGAN.
The SRResNet has only generator and the SRGAN has generator and discriminator.

I am not sure of the super_res_net in Nvidia Modulus included the discriminator as well in the architecture or not.

Thanks in advance

Hi @omarkhaledsallam

SRResNet inside of modulus is just the generator (convolutional decoder) architecture designed to bring a low resolution image to a higher-fidelity one. Some documentation on it can be found here and an example that can use it can be found here.

Thanks for your reply,

Does the Pix2Pix include both generator and discriminator?


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