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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
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.
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公开(公告)号:US11928764B2
公开(公告)日:2024-03-12
申请号:US17021845
申请日:2020-09-15
Applicant: NVIDIA Corporation
Inventor: Tingwu Wang , Yun Rong Guo , Maria Shugrina , Sanja Fidler
IPC: G06T13/20 , G06F18/211 , G06F18/214 , G06N3/084 , G06N5/046 , G06T7/20
CPC classification number: G06T13/20 , G06F18/211 , G06F18/2148 , G06N3/084 , G06N5/046 , G06T7/20 , G06T2207/20081 , G06T2207/20084
Abstract: Apparatuses, systems, and techniques to animate objects in computer-generated graphics. In at least one embodiment, one or more neural networks are trained to identify one or more forces to be applied to one or more objects based, at least in part, on training data corresponding to two or more aspects of motion of the one or more objects.
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公开(公告)号:US20220084272A1
公开(公告)日:2022-03-17
申请号:US17021845
申请日:2020-09-15
Applicant: NVIDIA Corporation
Inventor: Tingwu Wang , Yun Rong Guo , Maria Shugrina , Sanja Fidler
Abstract: Apparatuses, systems, and techniques to animate objects in computer-generated graphics. In at least one embodiment, one or more neural networks are trained to identify one or more forces to be applied to one or more objects based, at least in part, on training data corresponding to two or more aspects of motion of the one or more objects.
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