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    IMAGE FACE MANIPULATION
    11.
    发明申请
    IMAGE FACE MANIPULATION 有权

    公开(公告)号：US20210295020A1

    公开(公告)日：2021-09-23

    申请号：US17303871

    申请日：2021-06-09

    Applicant: Snap Inc.

    Inventor： Chen Cao ,  Sergey Tulyakov ,  Zhenglin Geng

    IPC: G06K9/00

    Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and a method for synthesizing a realistic image with a new expression of a face in an input image by receiving an input image comprising a face having a first expression; obtaining a target expression for the face; and extracting a texture of the face and a shape of the face. The program and method for generating, based on the extracted texture of the face, a target texture corresponding to the obtained target expression using a first machine learning technique; generating, based on the extracted shape of the face, a target shape corresponding to the obtained target expression using a second machine learning technique; and combining the generated target texture and generated target shape into an output image comprising the face having a second expression corresponding to the obtained target expression.

    AVATAR STYLE TRANSFORMATION USING NEURAL NETWORKS
    12.
    发明申请
    AVATAR STYLE TRANSFORMATION USING NEURAL NETWORKS 有权

    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

    IPC: G06T13/40 ,  H04L12/58 ,  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.

    Region-based stabilized face tracking
    13.
    发明授权
    Region-based stabilized face tracking 有权

    公开(公告)号：US10949648B1

    公开(公告)日：2021-03-16

    申请号：US16170997

    申请日：2018-10-25

    Applicant: Snap Inc.

    Inventor： Chen Cao ,  Menglei Chai ,  Linjie Luo ,  Oliver Woodford

    IPC: G06K9/00 ,  G06T13/40 ,  G06T7/73

    Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program and a method for accessing a set of images depicting at least a portion of a face. A set of facial regions of the face is identified, each facial region of the set of facial regions intersecting another facial region with at least one common vertex which is a member of a set of facial vertices. For each facial region of the set of facial regions, a weight formed from a set of region coefficients is generated. Based on the set of facial regions and the weight of each facial region of the set of facial regions, the face is tracked across the set of images.

    Avatar style transformation using neural networks
    14.
    发明授权
    Avatar style transformation using neural networks 有权

    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

    IPC: G06T13/40 ,  H04L12/58 ,  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.

    Image face manipulation
    18.
    发明授权
    Image face manipulation 有权

    公开(公告)号：US11798261B2

    公开(公告)日：2023-10-24

    申请号：US17303871

    申请日：2021-06-09

    Applicant: Snap Inc.

    Inventor： Chen Cao ,  Sergey Tulyakov ,  Zhenglin Geng

    IPC: G06V40/16 ,  G06V10/82 ,  G06V10/764

    CPC classification number: G06V10/764 ,  G06V10/82 ,  G06V40/161 ,  G06V40/168 ,  G06V40/172 ,  G06V40/175

    Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and a method for synthesizing a realistic image with a new expression of a face in an input image by receiving an input image comprising a face having a first expression; obtaining a target expression for the face; and extracting a texture of the face and a shape of the face. The program and method for generating, based on the extracted texture of the face, a target texture corresponding to the obtained target expression using a first machine learning technique; generating, based on the extracted shape of the face, a target shape corresponding to the obtained target expression using a second machine learning technique; and combining the generated target texture and generated target shape into an output image comprising the face having a second expression corresponding to the obtained target expression.

    Eye texture inpainting
    20.
    发明授权
    Eye texture inpainting 有权

    公开(公告)号：US11468544B2

    公开(公告)日：2022-10-11

    申请号：US17355687

    申请日：2021-06-23

    Applicant: Snap Inc.

    Inventor： Chen Cao ,  Wen Zhang ,  Menglei Chai ,  Linjie Luo

    IPC: G06T5/00 ,  G06T5/50 ,  G06T7/40 ,  G06V40/18

    Abstract: Systems, devices, media, and methods are presented for generating texture models for objects within a video stream. The systems and methods access a set of images as the set of images are being captured at a computing device. The systems and methods determine, within a portion of the set of images, an area of interest containing an eye and extract an iris area from the area of interest. The systems and methods segment a sclera area within the area of interest and generate a texture for the eye based on the iris area and the sclera area.

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