[omtinez]

I haven't read the paper in full detail, but reading between the lines I'm guessing that there's a significant portion of manual processing and hand waving involved. From the abstract, emphasis mine:

> the second stage uses a pixel-wise nearest neighbor method to map the smoothed output to multiple high-quality, high-frequency outputs in a controllable manner.

My interpretation is that they select training data by hand and generate a bunch of outputs. Repeating the process until they like the final result. From the paper:

> we allow a user to have an arbitrarily-fine level of control through on-the-fly editing of the exemplar set (E.g., “resynthesize an image using the eye from this image and the nose from that one”).

[WhitneyLand]

There's nothing weak or negative about that, it's exactly what'd you expect. Obviously for a given input there will be multiple plausible outputs. With any such system it would make sense to allow some control in choosing among the outputs.

[IshKebab]

Could be pretty great for police sketch artists. (Although pretty misleading for juries too.)

[adrianN]

Just train the model with the suspect's Facebook photostream and presto you have convincing evidence.