Invention Grant
- Patent Title: Learning a realistic and animatable full body human avatar from monocular video
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Application No.: US17228364Application Date: 2021-04-12
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Publication No.: US11651540B2Publication Date: 2023-05-16
- Inventor: Minh Phuoc Vo , Christoph Lassner , Carsten Sebastian Stoll , Amit Raj
- Applicant: Meta Platforms Technologies, LLC
- Applicant Address: US CA Menlo Park
- Assignee: Meta Platforms Technologies, LLC
- Current Assignee: Meta Platforms Technologies, LLC
- Current Assignee Address: US CA Menlo Park
- Agency: Baker Botts L.L.P.
- Main IPC: G06T7/70
- IPC: G06T7/70 ; G06T7/90 ; G06T13/40 ; G06T15/04 ; G06T15/50 ; G06N3/08

Abstract:
In one embodiment, a method includes adjusting parameters of a three-dimensional geometry corresponding to a first person to make the three-dimensional geometry represent a desired pose for the first person, accessing a neural texture encoding an appearance of the first person, generating a first rendered neural texture based on a mapping between (1) a portion of the three-dimensional geometry that is visible from a viewing direction and (2) the neural texture, generating a second rendered neural texture by processing the first rendered neural texture using a first neural network, determining normal information associated with the portion of the three-dimensional geometry that is visible from the viewing direction, and generating a rendered image for the first person in the desired pose by processing the second rendered neural texture and the normal information using a second neural network.
Public/Granted literature
- US20220036626A1 LEARNING A REALISTIC AND ANIMATABLE FULL BODY HUMAN AVATAR FROM MONOCULAR VIDEO Public/Granted day:2022-02-03
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