edit: I was joking, but people pointing out that you still can't create something out of nothing etc might not be thinking big enough. I think this technology absolutely has the potential to help. police are literally still using artists impressions - photofits, to find perpetrators
I think the artist impression has a lot more value than a highly realistic generated face. If you see an artistic impression, you will see the facial features that were noticeable. Such as a mole, the shape of the nose, or the thickness of the eyebrows. Then you have a template that your brain uses to match those features with any face that you see.
However, if I show you a highly realistic face, your brain will take a different impression. Your brain is trained on faces for thousands of years. It will try to match the face perfectly.
An artist impression tells the audience that it is inaccurate. A realistic photo tells the audience that this is _exactly_ who we are looking for.
Yep. To be useful for exploring potential "true" values, a system would probably need some way of showing you the distribution of its guesses, so you can get an idea of whether there is any significant information there.
That aside, you'd still probably need a ML PhD to have a chance of correctly interpreting the results, given the myriad potential issues with current systems.
edit: I was joking, but people pointing out that you still can't create something out of nothing etc might not be thinking big enough. I think this technology absolutely has the potential to help. police are literally still using artists impressions - photofits, to find perpetrators