Full Body Synthesis for Artificial Reality Environments

Abstract: artificial reality (xr) experiences today typically only provide users representations of their upper body (e.g., as avatars). although legs do not have a high range of movement or expression in xr, they are required to bring a sense of believability to digital humans represented in xr. however, tracking legs can be difficult because they are frequently not visible to xr device cameras. aspects of the present disclosure provide a full body synthesis system that can generate plausible full body poses of users by leveraging generative machine learning, in real time, on an xr device. the full body synthesis system can be flexible to multiple numbers and types of inputs (e.g., positions/rotations/accelerations of joints, computer vision models, etc.), and can generalize users of any height, body scale, and body shape.

Inventor(s): Robin KIPS, Manoj Kumar Marram REDDY, Giancarlo DI BIASE TROCCOLI, Sanjeev KUMAR, Carlos CHACON NAVARRO, Vijaya REDDY, Yuhua CHEN, Filippo ARCADU, Nadine Andrea RUEEGG, Ferran RIGUAL APARICI, Aleksei SIDNEV, Artsiom SANAKOYEU, Gerard BAHI VILA, Nebojsa ANDELKOVIC, Yuting YE

CPC Classification: G06T17/00 (Three dimensional [3D] modelling, e.g. data description of 3D objects)

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