Interesting article. I think the real question however is whether imposing complex priors (say driven by a neural net) makes images better _on average_ even if has some failure modes. My guess would be that a fairly weak prior trained on a diverse enough dataset would lead to better average image quality(as judged by everyday people in diverse scenarios) and that's why they are used.