Re:Unified GAN for Image-to-Image translation
by rememberlenny on Thursday November 30, 2017 @12:02AM
(#15813599)
Yes. There are many pre-trained model. You can then use transfer learning to build on a pre-trained model to benefit from the existing computational effort.
Re:Unified GAN for Image-to-Image translation
by bitL on Thursday November 30, 2017 @06:56AM
(#15815052)
I frankly don't see why it couldn't add more years to 50y. Moreover, it could likely "unage" over 50y to 20y, just by inverse of their aging method. GANs are unbelievably powerful.
Re:Unified GAN for Image-to-Image translation
by luckystarr on Thursday November 30, 2017 @05:55AM
(#15814860)
For a start, yes. A proof of pricinple would be nice. Would probably look very shitty, but would use very little bandwidth.
I read about a fictional system like this in "A fire upon the deep" by Vernor Vinge a long time ago but never thought it would be feasible. There a scene of an entire room of people interacting was being deconstructed/reconstructed for a video chat using low bandwidth.
Re:Unified GAN for Image-to-Image translation
by candiodari on Wednesday November 29, 2017 @11:29PM
(#15813477)
The article doesn't point this out, but in GANs, the parameters actually move on a continuous range. In other words, they don't just have several of your pictures, they've got all sorts of movies :
A movie where your face starts out "neutral" and becomes angry. A movie where you start out angry, go to surprised and end happy. And so on.
Re:Unified GAN for Image-to-Image translation
by visarga on Thursday November 30, 2017 @03:11AM
(#15814163)
> they've got all sorts of movies
Here it is: one glorious hour of walk through the latent space of faces. You can "feel" the geometry of the latent space and its meanderings. https://www.youtube.com/watch?v=36lE9tV9vm0
Generated with Progressive GAN in high resolution. The quality is mind blowing, highest ever attained in any GAN. Author: NVIDIA
Re:Unified GAN for Image-to-Image translation
by CGamesPlay on Wednesday November 29, 2017 @07:40PM
(#15812304)
Well, no, you can't create information that doesn't exist. They don't have any better source to match against your blonde-hair picture than their imagination. The novelty here is that they may outsource that imagination to the machine now.
Does this work with other images? Can it age photos of people who are already over 50 for example? Or non-whites? Or children? Etc.
Is a trained model available anywhere?
I read about a fictional system like this in "A fire upon the deep" by Vernor Vinge a long time ago but never thought it would be feasible. There a scene of an entire room of people interacting was being deconstructed/reconstructed for a video chat using low bandwidth.
Make this into an app and you could have the next Prisma!
A movie where your face starts out "neutral" and becomes angry. A movie where you start out angry, go to surprised and end happy. And so on.
Excellent progress, I must say.
Here it is: one glorious hour of walk through the latent space of faces. You can "feel" the geometry of the latent space and its meanderings. https://www.youtube.com/watch?v=36lE9tV9vm0
Generated with Progressive GAN in high resolution. The quality is mind blowing, highest ever attained in any GAN. Author: NVIDIA