Predicting Human Dynamics

Jason Y. Zhang Panna Felsen Angjoo Kanazawa Jitendra Malik University of California, Berkeley In ICCV 2019 [Paper] [Video] Given a video of a person in action, we can easily guess the 3D future motion of the person. In this work, we present perhaps the first approach for predicting a future 3D mesh model sequence of a person from past video input. We do this for periodic motions such as walking and also actions like bowling and squatting seen in sports or workout videos. While there h

5 mentions: @akanazawa@HCI_Research@roadrunning01@jasonyzhang2@d__strukt
Date: 2019/08/15 02:17

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@jasonyzhang2 Excited to release our new @ICCV19 paper! From a short video, we predict the future 3D mesh motion of a person. With Panna Felsen, @akanazawa, and Jitendra Malik. t.co/XHS9BuS35v t.co/tkndUQBWPQ
@akanazawa New work where we predict the future human 3D mesh motion from a short video! With @jasonyzhang2, Panna Felsen, Jitendra Malik. #ICCV2019 t.co/sG6LshIqKN t.co/STL6okz9bg t.co/WwTcccerSQ
@roadrunning01 Predicting 3D Human Dynamics from Video pdf: t.co/nmbDha5qJF abs: t.co/xoC4R8XePQ project page: t.co/tHuPCyZoqq t.co/DOStLH2Mse
@HCI_Research Predicting 3D Human Dynamics from Video t.co/LPeudLi9hv t.co/COyowxlUHz t.co/dtOSMiHZPm

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