AVATAR STYLE TRANSFORMATION USING NEURAL NETWORKS

    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.

    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.

    Avatar style transformation using neural networks

    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.

    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.

    Avatar style transformation using neural networks

    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.

    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.

    AVATAR STYLE TRANSFORMATION USING NEURAL NETWORKS

    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.

    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.

    Avatar style transformation using neural networks

    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.

    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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