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.
