'This Person Does Not Exist' Website Uses AI To Create Realistic Yet Horrifying Faces (inverse.com) 145
A website that uses AI -- Generative Adversarial Networks (GANs) -- to generate photos of people who do not exist is circulating on social media and forums this week. A news writeup adds: Every time the site is refreshed, a shockingly realistic -- but totally fake --picture of a person's face appears. Uber software engineer Phillip Wang created the page to demonstrate what GANs are capable of, and then posted it to the public Facebook group "Artificial Intelligence & Deep Learning" on Tuesday. The underlying code that made this possible, titled StyleGAN, was written by Nvidia and featured in a paper that has yet to be peer-reviewed. This exact type of neural network has the potential to revolutionize video game and 3D-modeling technology, but, as with almost any kind of technology, it could also be used for more sinister purposes.
Should I be concerned? (Score:5, Funny)
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Re:Should I be concerned? (Score:5, Funny)
Dude, calm the fuck down a bit. We know it's not a drill. It's a screwdriver.
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A screwdriver is just a drill that lacks ambition.
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Just thinking it would be a useful tool if you needed to just put a face on an image or pamphlet, etc......
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are these images 'copyrighted' as that they are generated
That's an interesting legal-theoretical question and it might make a good topic for a law school essay.
As a matter of mere practice, however, given that no two runs of the program should produce identical faces, it seems unlikely that anyone would even think to look for a watermark (assuming there is one) or other identifying feature connecting the image to the the putative copyright holder. TLDR: You're unlikely to be caught.
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All the pictures I got had a "blotch" at the top. Probably not an official "watermark", but seems reasonably unique enough for them to argue the picture is theirs.
Ahh, scratch that. Got some without the blotch.
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Many of the pictures I saw had lopsided faces, and many others had "blotchy" looks, like someone had a skin graft from a donor whose skin wasn't quite the same color.
All in all, I don't think it's ready for prime time.
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There's a generated sample set of images on the same site as the paper. I'm assuming the guy who set up the site is serving up those sample images.
Here's what the NVIDIA github repo has to say about the datasets:
"All material, excluding the Flickr-Faces-HQ dataset, is made available under Creative Commons BY-NC 4.0 license by NVIDIA Corporation. You can use, redistribute, and adapt the material for non-commercial purposes, as long as you give appropriate credit by citing our paper and indicating any change
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Damn, nevermind, apparently the website is using the canned generative model for generating faces and is dynamically creating new ones on the fly. I have no idea how you would license the output...
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I just tried it, and got a picture of a normal looking young woman. Not "horrifying" at all.
The site is really slow, and sucks up a lot of local CPU running JavaScript.
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No, they're actually kind of horrifying in many cases, in a manner that is subtle and creepy.
It looks like the algorithm is basically combining two people's faces algorithmically, using the upper half of one and the lower half of another. They might be picking one skin tone and mapping it across the other part, or they might just always pick people whose skin tone is close enough be plausible. I can't really tell.
The problem is, their algorithm isn't always combining pictures taken from exactly the sam
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I also looked at about 30. I noticed that in almost every case the left eye was larger then the right. Also, the center two upper incisors were very different sizes in about half of the images.
So... that was weird. I guess.
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I've seen two that where off out of a whole tonne of them. One was a small girl who had what looked like a bullet hole in her forehead. Or some sort of obvious puncture wound. Weird.
The other was a woman on a side profile and one of her eyes was distorted and blured out in a strange way, and her nose was wrong. But it was the only one I saw with a side profile so presumably the algorithm is less well trained on those.
God knows where the bullet hole girl came from though.
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their algorithm isn't always combining pictures taken from exactly the same angle.
I was wondering how often it made weird images. The first one I opened was really messed up. The left side of the person's face seemed at least half an inch wider.... and also the head on that side was higher up and a different shape. The left jaw looked really unnatural. Then the next 3-4 images seemed fine.... only to be followed by what looked like a 18-20 year old guy with really big white ear hair. And then what looked like a 5 year old's face on a young woman's head.
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The picture itself isn't "horrifying", it's the fact that the picture (which as you say looks perfectly normal) isn't real. That "normal looking young woman" is a complete fiction of a neural network, despite looking (to the human eye anyways) perfectly real. People typically assume images of people are real, so being able to create completely realistic looking humans out of nothing allows an entirely new level of fake news.
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The picture itself isn't "horrifying", it's the fact that the picture (which as you say looks perfectly normal) isn't real.
I don't see anything "horrifying" about it. GANs are interesting and the results are sometimes impressive. But "horror"? No.
Also, the only thing "new" about this website is that the images are supposedly generated on-the-fly. The faces are not much different than published results for other face GANs. GANs have been around since 2014, and high quality face generators have been around since 2017.
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Most of the stuff you see in magazines is just as unreal, the work of Photoshop, Gimp, whatever, makeup artists, hair stylists, and lots of doctoring..... not to mention the plastic surgery.
Ok, if there's an ear in the wrong place, it's horrifying. Otherwise, it's just new CGI for the next LOTR episodes.
Let the Slashdotting Commence (Score:2)
Bet you've not heard that term in a while!
The site for me is loading the image slower than an 80's fax-modem set to highest resolution.
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Indeed. Fond memories of my first real computer purchase as a kid: https://goo.gl/images/XsGTEh [goo.gl]
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It was probably running the GAN on a single GeForce GTX 1080 and we burnt it out. Hope it didn't burn anything else with it!
The Technology Is Already Being Used Negatively (Score:5, Interesting)
Re:The Technology Is Already Being Used Negatively (Score:4, Interesting)
This actually sounds a bit like the bulk news outlet services which a lot of small newspapers use nowadays - I believe it was covered in an NPR story a few years back. The news items are collected and aggregated overseas, sometimes rewritten slightly to "localize", and then released using a made up "generic white American" name (and sometimes a stock photo) for the byline.
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Also the AFP.
https://en.m.wikipedia.org/wiki/Agence_France-Presse [wikipedia.org]
Re:The Technology Is Already Being Used Negatively (Score:4, Insightful)
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Why wouldn't they just leave the images out? I go on several news sites where it is difficult to find the article's author's image
This landscape did not exist (Score:2)
I can remember dabbling with fractals as a basis for creating artificial landscapes back in the 80's. (And no, it wasn't my lawn which you can kindly depart from.)
It's interesting to see the level of detail, and the types of asymmetries and other 'imperfections' . It'd also be interesting to determine statistical probabilities of a reasonably close match to an actual person.
LOL "403 Forbidden" (Score:2)
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Unlike MongoDB, Nginx apparently isn't web scale.
Not 100% (Score:5, Interesting)
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https://i.imgur.com/RQSlx58.jp... [imgur.com]
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I've seen a few examples where there's a weird stretching of the mouth or, in one, fingers coming out of the person's chin. My guess is that it's sampled a huge number of images and is stitching these together in some complicated fashion to create a "does not exist" person. In the event that the image contains an odd object (microphone near mouth, fingers by chin), the AI chokes and the image gets weird.
Still, it's very impressive. Now enhance this so it's a video and have the AI create a realistic (but not
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https://imgur.com/YpLzccg [imgur.com]
This is the stuff of nightmares.
YMMV (Score:2)
Some of those faces can be instantly identified as fakes. Some have eyes that are beyond uncanny valley and down right hideous.
Others... well I saw at least 2 images where I couldn't find a fault despite looking for many minutes.
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depending on the usage it's damn near perfect.
as the example given in the summary, if this tech would be used in games for example, you would barely notice these defects nor would they matter that much.
Do something useful with it (Score:5, Interesting)
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If I had one of these photos, I wouldn't have been banned from Facebook. That and had a name that wasn't "Jus D'Orange"
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Thank you. I was thinking someone snuck decaf into my cup.
Horrifying maybe for the wrong reason (Score:4, Interesting)
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One of the ones I saw looked like Paul McCartney in drag was having a stroke.
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One of the ones I saw looked like Paul McCartney in drag was having a stroke.
You can find some more like that on this web site:
https://www.paulmccartney.com/... [paulmccartney.com]
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Vicious :)
If it created my face, that would be horrifying. (Score:2)
Bodies (Score:2)
Generate the rest of their bodies as well and we'll finally have a replacement for Tumblr!
Stock photography disruptor? (Score:2)
Obvious stock image input (Score:5, Informative)
It's obvious the neural network was trained on stock images, including lots of celebrities. I saw Angelina Jolie's eyes, Brad Pitt's jaw, Caitlin Jenner's hair.
...laura
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It's obvious the neural network was trained on stock images, including lots of celebrities.
Probably more the latter than the former, since there are quite a lot of celebrity datasets, like Celeb-A, VGG's Celebrity in places, VGG's Celebrity Together dataset, VoxCeleb and so on.
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I noticed that too. (btw hello, we have not talked in a while)
Then it occurred to me, if I were not aware that I was looking at manufactured images, I would not have noticed on casual inspection.
I went through a few dozen images. Amazing stuff. Still needs human caretaking to ensure a perfect final product.
But yeah, "I saw Angelina Jolie's eyes, Brad Pitt's jaw, Caitlin Jenner's hair.", too. It was weird. Like I was seeing some aspect of what makes up a real human. I saw one photo that looked absolutely rea
Perfect teeth (Score:1)
Falling in Love With A Person Who Doesn't Exist (Score:1)
What if you see one of the images and fall in love with the person in it? They don't exist, but you can't get the idea of them out of your mind and you are ruined. Forever.
That would be a nightmare.
1991 called... (Score:1)
1991 called and they want credit back for this new face "morphing" thing.
http://www.criticalcommons.org... [criticalcommons.org]
Pause any morph in the state between two faces and you have the very realistic looking face of a person who does not exist. Couple that with our modern software algorithms that identify various landmark points on a person's face (used by SnapChat and other filters to put sunglasses on a person's face in the right location, etc), and voila... you have infinite face creation with no manual input by blend
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I appreciate the “it’s all been done before” sentiment, and I too remember when that Jackson morphing video came out.
However, the technique used in the new article is really different. If you want to simplify it to simple concepts, the Jackson jethod is interpolation between two endpoints (in the space of all possible real faces), whereas the current method is to progressively generate images and refine them based on whether they are face-like.
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You reminded me of one of my favorites youtubes
https://www.youtube.com/watch?... [youtube.com]
Scientology's going to love this! (Score:1)
I had that book too as a kid (Score:2)
That book with four separate sets of pages, so you could choose the hair, eyes, nose and mouth to make hilarious combinations.
Good times.
Sorry. I call BS (Score:2)
For me to buy into this, just get the semi-fake person to start sending tweets with the AI-driven fake tweetbot [slashdot.org].
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AI? Looks Only Like Better Blending Techniques (Score:1)
Funky artifacts.. (Score:2)
It seems to create weird artifacts around the edges of hair and ears.
Catfish profile pic generator (Score:2)
I got a better name for the service. I guess you can't trust anybody on the Internet (anymore).