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"Honey, I am so glad I got a refund on that new projector! We can't watch a movie on this." Ever since "The Incredibles" first hit theaters in 2004, people have been marveling at the technology behind the building of animated characters. Pixar's latest movie "Incredibles 2", is about an ordinary family with the superpower to turn invisible and fight crime. It is packed with new gadgets, from Mr. Incredible's new cape to Dash's super speed jets to Violet's invisibility suit. The film also features popular cartoon favorites Frozone and Edna Mode from "The Incredibles. " A scene from the movie Now, a team of researchers from the University of California, Berkeley and Disney Research Zurich have developed a technology that can help bring these characters to life. It's a new system called "Deep Video Portraits," which is a technique that can create highly detailed 3-D videos from "low-quality" video. The technique uses artificial intelligence to produce 3-D animated videos from ordinary 2-D images. They also captured video in high definition then converted them into 2D images that look like pencil sketches. These videos were then fed into neural networks so they could learn how to produce the equivalent 3-D animation. The resulting video is displayed in lifelike 3-D animation, like the ones we see in Hollywood movies. The videos can be used to train machine learning systems that can convert other hand-drawn images into shades of gray or shades of color, so they can be converted to a digital format. An artificial intelligence system could also use the technique to help produce cartoons from scratch. Technical details "I'm not a regular Pixar viewer," said Dima Zaleski, a graduate student at UC Berkeley and a lead author on the paper describing this research. "I don't know how it [Deep Video Portraits] works technically [but] I think Pixar has done something much more amazing than what we're doing. So what we're doing is...just a demonstration of an idea, an idea that has been around for a long time." The technique combines artificial intelligence with machine learning. The technique was first developed by Disney Research Zurich, which first released it in 2015 to train computers to annotate videos of objects. Zaleski and his colleagues then adapted the system to train neural networks to produce animated videos from hand drawn illustrations. "Training can be done offline because it's completely computerized," said Zaleski. "You don't need an interviewer or someone else who can help you find errors or mistakes. You create your own questions and answer them. You can go back to the source material and check how good your answer was." The researchers started with low-quality videos which had been captured in high definition.  They then converted these videos into two-dimensional images that look like pencil sketches and fed them into neural networks so they could learn how to produce the equivalent 3-D animated video. This technique is now called Deep Video Portraits.  The neural networks were trained using a data set of 5,000 different video portraits, including those of Abraham Lincoln and Queen Elizabeth I.

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