Images of AI-generated humans aren’t exactly a new concept. But now, they’re available for licensing for the first time ever. VAIsual and PantherMedia have announced the availability to legally license 100% synthetically generated stock images.
NVIDIA has been doing a lot of cool stuff with AI. One of those things is GauGAN AI, something of a predecessor to NVIDIA’s Canvas application, which we checked out here when I tried to recreate some of my landscape photographs with it. Well, GauGAN2 is here now and it’s gotten smarter. Way smarter. You don’t just paint coloured pixels where you want things to be anymore. Oh no, now it actually understands what you say!
The whole concept of AI has always been quite fascinating to me. Not so much the whole end of the world Terminator stuff, but how AI relates to imagery. That a computer can generate somewhat realistic-looking images with very little input from the user is just mind-boggling.
One of the companies at the forefront of AI imaging tech is NVIDIA. So, when NVIDIA reached out to me to ask if I’d like to test out the recently released NVIDIA Canvas and some of the AI-powered features in Photoshop and DaVinci Resolve on one of the also recently launched RTX Studio laptops, I jumped at the opportunity.
One of the big problems with video, especially when watching it online, is the amount of bandwidth it often takes up. This problem of bitrates is particularly a problem when it comes to things like live streaming and video conferencing. Researchers at Nvidia think they’ve found a way around the limitations of existing video streaming codecs, though, with the development of a new neural network engine.
The new engine works by completely ignoring every traditional video codec out there in order to bring the amount of bandwidth required for video streaming down to a fraction of what it might normally use with something like h.264.
A team of researchers at Google has come up with really awesome use of all those photos of popular tourist spots. They’ve created an algorithm that takes those photos and turns them into realistic and very detailed 3D renderings. And the best of all is that it even edits out interfering objects and evens out the changes in lighting.
When AI-generated faces became more widespread and available, some people feared that these fake portraits could be misused. Well, their fears came true. On Friday, Facebook removed almost a thousand of fake profiles, pages, and groups that used photos generated by artificial intelligence. And according to the sources, all of them were used to push political, mainly right-wing campaigns.
We’ve already seen that AI-generated faces can look so realistic that it’s sometimes difficult to distinguish them from real ones. And if you want to put a fake headshot to use, Generated Photos lets you choose from 100,000 AI-generated faces. They’re all free for download and you can use them whichever way you want. What’s more, many of them look so good that it’s hard to tell them apart from photos licensed by stock photo companies.
From relighting images to removing backgrounds, the applications of AI tools in photography are many. The new AI-powered tool introduced by Chinese scientists can accurately fill in the blank spaces in all kinds of photos. Be it a front of a building, a landscape photo, even a portrait – the AI is trained to fill in the gap surprisingly accurately.
NVIDIA’s researchers came up with an impressive algorithm that’s able to generate realistic faces. Some of them are so realistic that you may have a hard time figuring out that they were computer-generated. If you’re up for a challenge, there’s now a website where you can test how many fake faces you can distinguish from real ones. It can get more difficult than you may think.