[shreyas-satish]

Aside from fake news, I can't help but wonder: what is the probability that the “generated” faces do not closely resemble people IRL?

An immediate use case that jumped to mind was DIY stock photos or even movies. But, with the above question still hanging, I'm not sure how comfortable I'd be using this.

[krick]

Well, taken a random human from the population, what is the probability he doesn't resemble anyone else alive? This is not really a mathematical question, since "resembles" is undefined and it really depends on the biological nature of human morphology, but I'm pretty sure that except for pathologically abnormal cases the answer always will be close to zero.

[duality]

Face generation is a frequent subject of study in computer vision. One way to make sure the generated faces are not just copy-pastes of some face in the training set is to look for low-level visual similarity of the generated images with the training set to guarantee that it's not "too close" to any of the actual faces used to train the model.

[autokad]

some strange things about the 'generated' faces. The one face is nearly identical (1,1) (1,5), just that adding the glasses. another is that male + female generates male images. you'd expect more androgynous images to show up