Yeah. There are a lot of really sketchy transitions that don't look human in that video. Also, when the picture looks fully realistic, you can Google search it and find that there are lots of very similar images.
Now, the fact that they usually aren't identical to Google's finds is moderately impressive. So is the fact that some transitions are "smooth" - being able to move from one head/eye position to another. But the difference between drawing a face and copy-pasting someone's face onto a different hair+background is very significant, and quite often the algorithm seems to be doing the latter. (And in any case, GANs are clearly not the way humans draw faces.)
It would be interesting to see someone try to do the same thing without a neural network. How far would they get on the same training set? The dataset is 30,000 pre-aligned and cropped images. (Would be nice if there was a searchable version to make sure generated versions are not identical to something in that set.)
I bet you could get pretty far with just matching and region replacement, plus some color corrections. But not one would pay you for that.
Now, the fact that they usually aren't identical to Google's finds is moderately impressive. So is the fact that some transitions are "smooth" - being able to move from one head/eye position to another. But the difference between drawing a face and copy-pasting someone's face onto a different hair+background is very significant, and quite often the algorithm seems to be doing the latter. (And in any case, GANs are clearly not the way humans draw faces.)
It would be interesting to see someone try to do the same thing without a neural network. How far would they get on the same training set? The dataset is 30,000 pre-aligned and cropped images. (Would be nice if there was a searchable version to make sure generated versions are not identical to something in that set.)
I bet you could get pretty far with just matching and region replacement, plus some color corrections. But not one would pay you for that.