Invention Grant
- Patent Title: Avatar style transformation using neural networks
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Application No.: US17247557Application Date: 2020-12-16
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Publication No.: US11348301B2Publication Date: 2022-05-31
- Inventor: Harrison Jesse Smith , Chen Cao , Yingying Wang
- Applicant: Snap Inc.
- Applicant Address: US CA Santa Monica
- Assignee: Snap Inc.
- Current Assignee: Snap Inc.
- Current Assignee Address: US CA Santa Monica
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06T13/40
- IPC: G06T13/40 ; H04L51/10 ; G06N3/08 ; G06N20/00

Abstract:
Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program and a method for transforming a motion style of an avatar from a first style to a second style. The program and method include: retrieving, by a processor from a storage device, an avatar depicting motion in a first style; receiving user input selecting a second style; obtaining, based on the user input, a trained machine learning model that performs a non-linear transformation of motion from the first style to the second style; and applying the obtained trained machine learning model to the retrieved avatar to transform the avatar from depicting motion in the first style to depicting motion in the second style.
Public/Granted literature
- US20210104087A1 AVATAR STYLE TRANSFORMATION USING NEURAL NETWORKS Public/Granted day:2021-04-08
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