公开(公告)号：US11361507B1

公开(公告)日：2022-06-14

申请号：US17315060

申请日：2021-05-07

Applicant: NVIDIA Corporation

Inventor： Umar Iqbal ,  Pavlo Molchanov ,  Jan Kautz ,  Yun Rong Guo ,  Cheng Xie

IPC: G06T17/20 ,  G06T19/20

Abstract: Estimating a three-dimensional (3D) pose and shape of an articulated body mesh is useful for many different applications including health and fitness, entertainment, and computer graphics. A set of estimated 3D keypoint positions for a human body structure are processed to compute parameters defining the pose and shape of a parametric human body mesh using a set of geometric operations. During processing, 3D keypoints are extracted from the parametric human body mesh and a set of rotations are computed to align the extracted 3D keypoints with the estimated 3D keypoints. The set of rotations may correctly position a particular 3D keypoint location at a “joint”, but an arbitrary number of rotations of the “joint” keypoint may produce a twist in a connection to a child keypoint. Rules are applied to the set of rotations to resolve ambiguous twists and articulate the parametric human body mesh according to the computed parameters.

公开(公告)号：US20230410397A1

公开(公告)日：2023-12-21

申请号：US17842481

申请日：2022-06-16

Applicant: Nvidia Corporation

Inventor： Tingwu Wang ,  Yunrong Guo ,  Cheng Xie ,  Xue Bin Peng ,  Sanja Fidler

IPC: G06T13/40 ,  G06T17/10 ,  G06N3/04

CPC classification number: G06T13/40 ,  G06T17/10 ,  G06N3/04

Abstract: Apparatuses, systems, and techniques are presented to generate images representing realistic motion or activity. In at least one embodiment, one or more neural networks are used to generate one or more images of one or more characters performing one or more actions based, at least in part, upon one or more physical capabilities of the one or more characters.