StyleGAN2(github.com) |
https://veedrac.github.io/stylegan2-real-or-fake/game.html
There's a harder version as well, where the image is zoomed in.
https://veedrac.github.io/stylegan2-real-or-fake/game_croppe...
I get 100% reliably with the first link (game.html), and got 4/5 on the cropped version (game_cropped.html) so far.
Looking at whichfaceisreal, How much time do you have to spend on each decision, and would your success rate change if you didn't know in advance that exactly 1 of 2 was generated? It's easy to say 100% reliable, but I find myself really having to dig deep with my eyes to search for small tells* , which you have to know to do up front before you actually do it.
* - Often the tells are as minuscule as some ringing around the hair, which could just as easily be compression artifacts on a real photo.
GANs still don't get teeth right. If any artificial face smiles, the teeth are a dead giveaway.
Here are some examples of teeth I found pretty decent:
https://veedrac.github.io/stylegan2-real-or-fake/PSI%201.0/0... https://veedrac.github.io/stylegan2-real-or-fake/PSI%200.5/0... https://veedrac.github.io/stylegan2-real-or-fake/PSI%200.5/0... https://veedrac.github.io/stylegan2-real-or-fake/Curated/ffh...
If the real pictures had the background removed, I'd have a very hard time scoring 100%.
The exact point in the video:
Their “new method for finding the latent code that reproduces a given image” is really interesting and I’m curious to see if it plays a role in the new $1 million Kaggle DeepFakes Detection competition.
It feels like we’re almost out of the uncanny valley. It’s interesting to place this in context and think about where this technology will be a few years from now - see this Tweet by Ian Goodfellow on 4.5 years of GAN progress for face generation: https://twitter.com/goodfellow_ian/status/108497359623614464...
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1. https://github.com/NVlabs/stylegan2#using-pre-trained-networ...
Also, interesting that even with such "short" licences there are trivial mistakes in it (section 2.2 is missing, though it is referenced from 3.4 and 3.6 - I wonder what it was...)
Its a butchered Amazon Software License: https://aws.amazon.com/asl/
In principle a lawsuit is just asking a neutral party to judge whether there indeed was a law breaking where I suspect there was one. Ideally, this is not a inherently hostile action that should be met with any negative consequences.
I know criminal and civil law are different beasts, but still the situation is analogous to renting out a room to someone in exchange for them promising not to report me to the police if I beat them up, else I can kick them out without notice.
It should be an inalienable right of anyone to report/sue for any wrongdoing against them. It should not be conditional on losing some (any) beneficial things.
"I agree I will not sue you even if I later find out that you did something illegal against me" should not be legal to be in a contract.
Original StyleGAN worked on AMD cards, this won't without porting those.
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i read a few of the AI Dungeon transcripts. i think it's worthless. you type in a command, like you would with an actual infocom-style adventure game, and it spits out a bunch of flowery language and gobbledygook, the likes of which you can get in abundance from any self-help guru. there is no state, no way to win, no way to lose. to compare it to actual adventure games is ludicrous.
likewise, i have yet to see anything having to do with StyleGAN photo manipulation that goes very far beyond the level of a parlor trick.
this stuff is going to appeal to the same people who love cryptocurrencies, and will have about the same level of real-world effect.
I might also say that a second major discriminating factor is skin texture, especially at boundaries.
It's somehow an accepted state of affairs that even if you're in the right, you need some cunning lawyers who will twist words in the right way and build a strong narrative of why you are right, otherwise tough luck.
Justice should not be up for purchase.