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.
Instagram has been testing lots of new features lately. Still, what most of us would like to see is chronological feed, as it used to be. In a recent blog post, Instagram has announced that this feature will be back, at least in a way. They’re bringing some changes to let you see the feed in chronological order again.
Although artificial intelligence can be impressive, sometimes we get to witness that it’s not always the case. You may remember that time when the Google Photos app tagged a couple of African Americans as “gorillas.” After an apology and a promise it would fix it, Google indeed “fixed it.” It simply removed the label “gorilla” from its lexicon, along with some other words.
Instagram has become one of the major platforms for photographers to share their work. So naturally, you want to build your audience there and get many people to see your work. If you don’t want to buy fake followers from a vending machine, photographer Chris Hau shares some tips for building your audience and growing your business organically.
We’ve seen several uses of AI aimed at improving photos. Whether it’s improving their resolution, or turning selfies into decent portraits, they usually work on a single, existing photo. But a method from NVIDIA generates the photos of people that don’t actually exist. And it’s interesting and kinda creepy at the same time.
The scientists of Max Planck Institute for Intelligent Systems in Germany have developed a new algorithm. It enhances low-res images so that they miraculously become hi-res and sharp. It only needs a single low-resolution input, and it will increase its resolution while retaining the realistic textures and details.
Creating a 3D model of someone’s face usually requires multiple shots taken from different angles. But researchers from the University of Nottingham and Kingston University have created an AI tool that makes it from a single portrait photo.
The scientists describe the 3D face reconstruction as a “problem of extraordinary difficulty.” However, they’ve managed to use neural networks to turn any 2D portrait into a 3D model. There’s also a free online demo for you to try it yourself.