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.
Sick of dog pictures on social media? Nvidia’s GANimal AI lets you turn them into other animals
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Of course, I’m kidding, how can anybody get sick of dog pictures on Facebook?
Nvidia’s research teams have been doing some pretty crazy stuff with AI the last few years. This latest one is pretty funny from an amusement level standpoint but quite groundbreaking from a technical one. Nvidia’s GANimal AI lets you remap your pet’s “expression” onto other animals.
This website offers 100,000 AI-generated portraits for free
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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.
Samsung has developed an AI that turns still images into talking portraits
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Deepfake has become a pretty hot topic in the world of visual AI over the last couple of years, and it’s come a very long way in a short amount of time. It’s an incredible and terrifying technology. And now Samsung has jumped on the bandwagon.
Researchers at the Samsung AI Center in Mosci and the Skolkovo Institute of Science and Technology have published a new paper detailing their new software that generates 3D animated heads from a still image. And while it’s not perfect, to be able to do this from a handful or even a single image is pretty mindblowing.
These portraits are entirely AI-generated, these people are not real
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We’ve seen NVIDIA’s impressive content aware tool and noise removing tool. They have recently developed a generative adversarial network (GAN) which easily customizes styles of realistic faces and creates new faces. That’s right, these super-realistic faces you can see in the lead image are not real at all!
Nvidia trains AI to remove noise and watermarks by looking only at corrupted photos
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There are different ways to remove or reduce noise, and there are also ways of removing watermarks from images. But Nvidia has recently introduced a deep learning-based approach which has learned to fix photos by looking only at corrupted photos.
Shutterstock’s tech lets you play with text on canvas to find photos. Not there yet
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Shutterstock has introduced their new search tool, which helps you narrow down the search results even further. Composition Aware Search lets you search the images by the position of the objects in them. The tool features a canvas on which you place the keywords. Then you can move them around and get the photos that contain specific objects in a specific order.
Google AI now takes professional photos. And it does it based on Street View images
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Thanks to Google Street View, we can see many corners of the world we may never even visit. Some artists even use it to create photos of remote places from their own home. Now, Google itself finds a way to produce professional-looking photos from their Street View shots. They have created Creatism, a deep-learning system that analyzes Street View scenes searching for a beautiful composition. The algorithm finds the scenes which it’s supposed to turn into shots worthy of professional photographers.
“Reverse Prisma” AI turns paintings into photos and turns winter to summer
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Ok, imaging AI is just getting ridiculous now. By now we all know of the Prisma app. It lets you take photos and turn them into images that resemble paintings by artists such as Van Gogh, Monet, etc. A team of reseachers at UC Berkley have come up with a system that does the exact opposite of that. It looks at paintings and turns them into something that resembles a photograph.
Using the same principles, though, the team have also taken things in an entirely different direction, allowing you to map individual objects between each other. Such as turning horses into zebras, or vice versa. And now, we really can compare apples to oranges.
Neural network turns your Pixelated, black and white gameboy photos into realistic portraits
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Neural networks, deep learning, artificial intelligence, whatever term you prefer seems to be a very hot topic lately. Every couple of weeks there seem to be new developments to show off what it can do. We’ve seen CSI-like enhancements, facial recognition that can see through obscuration, converting 2D to 3D and plenty more. This one, while it might initially seem quite gimmicky, is actually pretty cool.
Research Engineer Roland Meertens has been working with neural networks and the Nintendo Gameboy camera. His goal is to produce photorealistic results from 190×144 pixel images produced by the Gameboy Camera. Released in 1998, it became the world record holder at the time for the “smallest digital camera”. You could also get a little printer to go along with it. It was a very cool toy for its time, but it wasn’t exactly broadcast quality.
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