公开(公告)号：US11776192B2

公开(公告)日：2023-10-03

申请号：US18102177

申请日：2023-01-27

Applicant: Apple Inc.

Inventor： Behrooz Mahasseni ,  Aashi Manglik ,  Mark Drummond ,  Edward S. Ahn ,  Shaun Budhram ,  Siva Chandra Mouli Sivapurapu

IPC: G06T13/40 ,  G06T19/00 ,  G06N3/04

CPC classification number: G06T13/40 ,  G06N3/04 ,  G06T19/006

Abstract: In one implementation, a method for generating a blended animation. The method includes: obtaining a motion input vector for a current time period; generating a motion output vector and pose information for the current time period based on the motion input vector; selecting an animated motion from a bank of animated motions for the current time period that matches the pose information within a threshold tolerance value; obtaining a blending coefficients vector for the current time period; generating a blended animation for the current time period by blending the motion output vector with the animated motion based on the blending coefficients vector; and generating a reward signal for the blended animation for the current time period.

公开(公告)号：US11710072B1

公开(公告)日：2023-07-25

申请号：US17360898

申请日：2021-06-28

Applicant: Apple Inc.

Inventor： Behrooz Mahasseni ,  Mark Drummond

IPC: G06T19/00 ,  G06N20/00 ,  G06T13/40 ,  G06N3/08 ,  G06F3/16

CPC classification number: G06N20/00 ,  G06N3/08 ,  G06T13/40 ,  G06T19/006 ,  G06F3/167 ,  G06T2200/24

Abstract: In one implementation, a method for inverse reinforcement learning for tailoring virtual agent behaviors to a specific user. The method includes: obtaining an initial behavior model for a virtual agent and an initial state for a virtual environment associated with the virtual agent, wherein the initial behavior model includes one or more tunable parameters; generating, based on the initial behavior model and the initial state for the virtual environment, a first set of behavioral trajectories for the virtual agent; obtaining a second set of behavioral trajectories from a source different from the initial behavior model; and generating an updated behavior model by adjusting at least one of the one or more tunable parameters of the initial behavior model as a function of the first and second sets of behavioral trajectories, wherein at least one of the first and second sets of behavioral trajectories are assigned different weights.

公开(公告)号：US11574416B2

公开(公告)日：2023-02-07

申请号：US17242879

申请日：2021-04-28

Applicant: Apple Inc.

Inventor： Andreas N. Bigontina ,  Behrooz Mahasseni ,  Gutemberg B. Guerra Filho ,  Saumil B. Patel ,  Stefan Auer

IPC: G06T7/73 ,  G06T13/40 ,  G06T13/80 ,  G06F3/01 ,  G06N3/04

Abstract: A method includes obtaining a set of images that correspond to a person. The method includes generating a body pose model of the person defined by a branched plurality of neural network systems. Each neural network system models a respective portion of the person between a first body-joint and a second body-joint as dependent on an adjacent portion of the person sharing the first body-joint. Providing the set of images of the respective portion to a first one and a second one of the neural network systems. The first one and second one correspond to adjacent body portions. The method includes determining, jointly by at least the first one and second one of the plurality of neural network systems pose information for the first respective body-joint and the second respective body-joint.