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Fake news sucks, why showed off those eerily accurate barack obama lip-sync videos last year, it's about to get a hell of a lot worse. Super-realistic fake videos are improving more effectively than some people thought possible, according to a newly discovered video manipulation system. Left: real footage of vladimir putin. Right: simulated films using the new deep video portraits technology. Gif:h. Kim et al. 2018/gizmodo The siggraph 2018 computer scheduling and design conference is scheduled for august 12-14 in vancouver, bc, and our pastry chefs are already getting a taste of the amazing technology that must exist in a car dealership. One such system, dubbed deep video portraits, demonstrates impressive improvements in deepfake videos. Last year's rigged video of obama, developed at the university of washington, turned out to be cool enough, but the forum used only the expression layman and everything was a completely obvious imitation. The exercise served as an important proof of concept, demonstrating the frightening potential of deepfakes—very realistic computer fake videos. Well, that future, as the recent deep video portraits technology confirms, is fast approaching. Video report on the new deep video portraits technology. (Youtube) the new operating system was invented by michael zollhöfer, a visiting assistant professor at stanford university and his colleagues from the technical university of munich, the university of bath, technicolor and similar institutions. Zollhöfer's next approach uses input porn movies to enhance the photorealistic re-animations of portrait videos. These input videos are created by the source actor, the information from it is needed to coordinate the portrait video of the target actor. So, for example, everyone can act as a source actor and broadcast facial expressions on commercials of, say, barack obama or vladimir putin. , The expressions of the townsfolk and the movements of the eyes with the immaculate standards of photorealism". Here, the source actor (input) is used to drive the portrait video of the target actor (output). Image: h. Kim and more. 2018 But it's more than just a facial expression. The latest technique allows for a variety of movements, including full 3d head positioning, head rotation, gaze, and blinking. The new system uses ai in the manner of generative neural networks to do this by taking information from signal kits and computing or predicting photorealistic frames for a given target actor. What's impressive is that animators don't need to change the graphics for existing skin hairs, the body of the target actor, or the background. Comparison with previous approaches. Notice how the background is distorted in view 2017. Gif: h. Kim et al. 2018/gizmodo Secondary algorithms are used to treat and remove stuttering and other artifacts, giving the video a smooth, ultra-realistic look. The know-how isn't perfect, but gosh, they're impressive. Diploma listing the technology, apart from the phenomenon that a person has become accepted for presentation at siggraph 2018, was published in the peer-reviewed scientific journal acm transactions on graphics. Left: real footage of british prime minister theresa may. Right: simulated film using the new deep video portraits technology. Gif:h. Kim et al. 2018/gizmodo Deep video portraits is now a highly efficient way of computer animation and delivery of photorealistic movements of already achieved actor performances. The system, for example, could really be left in dubbing when organizing video versions in adjacent languages. So if a movie is made with english subtitles, this technology can be done to improve lip movements to match, for example, french or spanish dubbed audio. Left: real footage of barack obama. Right: simulated clips using the new deep video portraits technology. Gif:h. Kim et al. 2018/gizmodo Unfortunately, it is likely to be abused - the issue has not gone unnoticed by researchers. “ For example, a combination of photorealistic synthesis face images with the implementation of a voice or a voice synthesis system will allow generating artificial video content that can potentially be used to slander a person and also to transmit, relatively speaking, “fake messages”. News,” writes zollhöfer on his own blog at stanford.“Now modified commercials, as always, contain many artifacts, which makes it possible to quickly detect most fakes. It is difficult to predict when such “fake” videos will become indistinguishable from cool porn for russian human eyes.” Unfortunately, deepfake technology is already appearing in sex videos, we will note at an early stage efforts to reduce or the elimination of these aggressive videos proved noticeably futile. However, for the children's world of fake news, there are six potential solutions, such as watermarking algorithms. Over time, artificial intelligence can be used to detect fakes, revealing patterns invisible to the human eye. However, as a result, the best ai porn generators ([https://ai-porn.click]) will have to distinguish fact from fiction.