If you could take a Bayesian perspective toward the super-resolution problem, things will make sense: given a low-res image, it corresponds to a distribution of corresponding high-res images. Which one is more likely? It depends on the prior and the likelihood. The right figure is a possible outcome, however, if we have strong prior toward the possibility of well-known people, we would be biased toward those people. It's not wrong, it is just not comprehensive.