Vid2Actor: Free-viewpoint Animatable Person Synthesis from Video in the Wild
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Vid2Actor: Free-viewpoint Animatable Person Synthesis from Video in the Wild

Jan 20, 2021
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Vid2Actor: Free-viewpoint Animatable Person Synthesis from Video in the Wild Chung-Yi Weng, Brian Curless, Ira Kemelmacher-Shlizerman Project Page: https://grail.cs.washington.edu/projects/vid2actor/ Given an "in-the-wild" video, we train a deep network with the video frames to produce an animatable human representation that can be rendered from any camera view in any body pose, enabling applications such as motion re-targeting and bullet-time rendering without the need for rigged 3D meshes. Photo credits: REUTERS/Carlo Allegri Getty Images/Clive Brunskill Getty Images/Maddie Meyer AP Photo/Bill Kostroun Video links: Novak Djokovic vs Roger Federer Full Match | US Open 2015 Final https://youtu.be/634UMLDrVzc US Open Tennis 2017: Roger Federer Practice https://youtu.be/xVBb2VW6oJ4 Fik-Shun | World of Dance Las Vegas 2014 https://youtu.be/mg6-SnUl0A0 Nonstop | World of Dance Las Vegas 2015 https://youtu.be/3708rxLZyqQ

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