NVIDIA-Powered Neural Network Produces Freakishly Natural Fake Human Photos (hothardware.com)
MojoKid writes: NVIDIA released a paper recently detailing a new machine learning methodology for generating unique and realistic looking faces using a generative adversarial network (GAN). The result is the ability to artificially render photorealistic human faces of "unprecedented quality." NVIDIA achieves this by using an algorithm that pairs two neural networks -- a generator and a discriminator -- that compete against each other. The generator starts from a low resolution image and builds upon it, while the discriminator assesses the results, sort of like a constant critic, pointing out where things have gone wrong. The GAN is not a new technology, but where NVIDIA differentiates is through the progressive training method it developed. NVIDIA took a database of photographs of famous people and used that to train its system. By working together, the neural networks were able to produce fake images that are nearly indistinguishable from real human photographs, and a little creepy too.
A few of those example results are a little uncanny valley-ish, but the best are nearly good enough to serve as my dating profile picture. Google Image Search THIS!
Corruption is convincing someone that the selfless ideal is the same as their selfish ideal.
Do they look creepy? They look like many or the retouched "real" photos you see in the media all the time to me!
This sounds like the standard idea of curriculum learning - you teach NNs via progressively more difficult tasks.
There can be no exceptions!
My ism, it's full of beliefs.
They should add the ability to recreate biometric parameters: Generate a fake picture that image recognition will attribute to a real person with the given biometrics. I'd buy that.
"two neural networks -- a generator and a discriminator"
IOW a democrat and a republican. :-)
Hollywood-Powered Neural Networks Produce Freakishly Fake Natural Human Photos
The rendered images look strikingly like actual human photographs, I'll bet they could fool nearly everyone -- you'd have to have a reason to think they were fake.
I'm wondering if their choice of celebrities as the training database somehow skews their results positive versus "ordinary" people. Celebrities almost seem too uniform in terms of facial features and general appearance. It makes me wonder if they tried with ordinary people if the algorithm woudln't produce freaks because it sees odd deviations among normal people.
https://www.youtube.com/watch?...
These faces are a lot less scary than previous neural-network human faces attempts. https://www.fastcodesign.com/3...
my opportunity to freely express myself with the potential persecution and hangings and such
Since photographic evidence is commonly used to convict people of a crime, I can't but help wonder if our legal system will be able to keep up with technology in order to avoid the manipulation that may ultimately condemn an innocent person.
It's quite concerning when the term "indistinguishable" is used to describe technology, as 12 randomly selected citizens can be indistinguishable from a group of morons who are unable to tell the difference between real and fake.
They forgot to reverse-photoshop them. My guess is they trained the algorithm using various fashion- and lifestyle magazines that consist of nothing but photoshopped pictures of people stripped of any and all personality.
We used to have a Bill of Rights. Now, with the rights gone, all we have left is the bill.
When seeing pictures like these in a random profile somewhere, the first idea coming to my mind is that they are fake. Even by ignoring some weird bits (some of them are surprisingly similar to various celebrities), the main issue is the lack of realism. A different story is being able to tell whether the fake picture was created by a quite-bad-at-faking person or a computer.
Custom Solvers 2.0 = Alvaro Carballo Garcia = varocarbas.
Fake celebrities will add a whole new dimension to fake news.
Now apply this to human voices; unlimited permutations in games, instead of fixed recorded lines.
but what we'll get is ads that call your name.
I'd clean up their act! They can be EASILY replaced
"A sad day in Hollywood... We say goodbye to one of the greats..." -OR- "Identify these celebrities... Only 7% Know the Answer..."
This could take catfishing to a whole new level.
Beware.
LK
"Hi. This is my friend, Jack Shit, and you don't know him." - Lord Kano
You can't get back detail that is missing from a low resolution image, so you can't go e.g. from an SD resolution movie to a 4K one, or at least the result won't look like a movie shot in 4K. Conventional upscaling is basically interpolate-and-sharpen, and it gives only a minor improvement. But while you can't get back the original missing detail, what you could in theory do is generate plausible synthetic detail.
Since this technique seems to involve building up the image through a series of increasing resolutions, I'm wondering if instead of generating a completely synthetic image, you could take a low resolution frame as the starting point, and use similar methods to add plausible synthetic detail. I would have thought that that would actually be a lot easier to generate a good result than if you're trarting from scratch to create a completely synthetic image.
Could it be that our Kazaa-era porn favourites will one day be viewable in 4K quality after all?
Oh no... it's the future.
This is what Waifu2x does, for the limited case of anime-based images. It is a neural network based upscaler capable of doing some very good enlargements on comic-like and cartoon-like images.
http://waifu2x.udp.jp/
"and even less of what you hear" I think that old saying has gone way down in value.. So can you now get caught doing anything and say it was "fixed"? Has truth in pictures gone way of the Dodo and dinosaurs?
...dammit.
For maximum irony, someone should announce that this report from NVIDIA itself is a hoax. Then you really wouldn't know what to believe.
Many of them seem to have some weirdness at the top of the head. Pointedness, baldness that kind of thing, I wonder what that says about the algorithm.
Nullius in verba
If after reading my title you didn't guess: naked people. All those photorealistic painting artists will be out of a job.
"Everybody's naked underneath" -- The Doctor
The uncanny valley effect is probably due mostly to the massive amount of digital editing in photos today.
That would go both towards tainting the data set making more blemish free smooth faces and the normalisation of those computer doctored photos in our minds.
If we were less used to looking at, essentially, computer generated faces and the neural net was trying to reproduce something that wasn't, essentially, a computer generated face then the difference would be more apparent
I don't get it. Based on the summary, it sounds like they are taking a picture and then tracing it, and another program is constantly saying "you traced wrong, go back and do it right!". So... they can take a picture, and from it render the same picture? Haven't computers been able to do that since... oh.... forever? Without AI involved at all.
This is actually just blending real photos from a database.
It's not generating anything from scratch, it's progressively layering bits of various photos together and blending. They start low res and then add in details at higher res. Some of the results show this as the general shape looks fucked up or kind of fuzzy at a high contrast edge (jawline or hair line), but the lips and especially the eyes look perfect.
NVIDIA took a database of photographs of famous people and used that to train its system. By working together, the neural networks were able to produce fake images that are nearly indistinguishable from real human photographs.
In the samples you can clearly recognize some celebrities such as Adam Sandler's and Zoey Deschanel's contributing large chunks of an image.
It's still putting out mostly great results, but it's not generating these from scratch. It's playing Mr. Potato Head.
This + flexible screen tech means this cloaking hood shouldn't be that far away.