Vid2Actor: Free-viewpoint Animatable Person Synthesis from Video in the Wild
Vid2Actor: Free-viewpoint Animatable Person Synthesis from Video in the Wild
Chung-Yi Weng, Brian Curless, Ira Kemelmacher-Shlizerman
Project Page:
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
US Open Tennis 2017: Roger Federer Practice
Fik-Shun | World of Dance Las Vegas 2014
Nonstop | World of Dance Las Vegas 2015
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3 years ago 00:05:58 8
Vid2Actor: Free-viewpoint Animatable Person Synthesis from Video in the Wild