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Nvidia has developed neural network that could revolutionise video streaming

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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.

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This AI uses tourist photos to create mind-blowing 3D renderings

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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.

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Facebook removes nearly 1,000 accounts with AI-generated profile photos

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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.

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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.

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This AI tool fills in the gaps in any image, even portraits

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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.

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Can you guess which of these faces is real and which is computer-generated?

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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.

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Xiaomi’s new AI fixes image exposure and detail in low-quality photos

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Chinese company Xiaomi is working on an algorithm that will improve low-quality images. The company wants to compete with Apple regarding smartphone photography, and it has just published a new paper on the AI network called “DeepExposure.” It uses machine learning to improve low-quality images by adding them detail while enhancing colors and brightness.

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New neural network repairs damaged and low-quality images

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We’ve seen some of the algorithms that can enhance low-quality photos. The researchers from Oxford University and the Skolkovo Institute of Science and Technology in Moscow have developed a new approach for restoring damaged or low-quality images. Instead of training the neural network with thousands of photos, their system called Deep Image Prior works everything out from the original image. And without any previous learning, it turns a pixelated or damaged photo into a hi-res one.

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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.

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