Observation model is trivial and data-free. For example, just mean squared error for denoising, mean squared error of downscaled image for super-resolution, etc.

I'm fairly certain that's not? Where in the paper does it talk about this other network, generally called the discriminator?

There is no discriminator in this work. Read the paper.