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公开(公告)号:US20220254084A1
公开(公告)日:2022-08-11
申请号:US17724235
申请日:2022-04-19
Applicant: Snap Inc.
Inventor: Harrison Jesse Smith , Chen Cao , Yingying Wang
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.
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公开(公告)号:US11348301B2
公开(公告)日:2022-05-31
申请号:US17247557
申请日:2020-12-16
Applicant: Snap Inc.
Inventor: Harrison Jesse Smith , Chen Cao , Yingying Wang
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.
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公开(公告)号:US12182921B2
公开(公告)日:2024-12-31
申请号:US17724235
申请日:2022-04-19
Applicant: Snap Inc.
Inventor: Harrison Jesse Smith , Chen Cao , Yingying Wang
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.
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公开(公告)号:US20210104087A1
公开(公告)日:2021-04-08
申请号:US17247557
申请日:2020-12-16
Applicant: Snap Inc.
Inventor: Harrison Jesse Smith , Chen Cao , Yingying Wang
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.
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公开(公告)号:US10896534B1
公开(公告)日:2021-01-19
申请号:US16135911
申请日:2018-09-19
Applicant: Snap Inc.
Inventor: Harrison Jesse Smith , Chen Cao , Yingying Wang
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.
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