What to choose between fully connected network vs resnet model for GAN discriminator?

I am trying to build GAN from scratch for super resolution. I am using Robust U-net for GAN’s generator and ResNet34 for discriminator.

I have seen a lot of examples where people are using simple linear layers for discriminator. Which should be for discriminator and why ?

Thanks in advance.