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    AVATAR STYLE TRANSFORMATION USING NEURAL NETWORKS
    21.
    发明申请
    AVATAR STYLE TRANSFORMATION USING NEURAL NETWORKS 有权

    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

    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.

    EYE TEXTURE INPAINTING
    23.
    发明申请
    EYE TEXTURE INPAINTING 有权

    公开(公告)号：US20210319540A1

    公开(公告)日：2021-10-14

    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 ,  G06K9/00 ,  G06T5/50 ,  G06T7/40

    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.

    AUGMENTED EXPRESSION SYSTEM
    25.
    发明申请
    AUGMENTED EXPRESSION SYSTEM 审中-公开

    公开(公告)号：US20200242826A1

    公开(公告)日：2020-07-30

    申请号：US16849397

    申请日：2020-04-15

    Applicant: Snap Inc.

    Inventor： Chen Cao ,  Yang Gao ,  Zehao Xue

    IPC: G06T13/20 ,  G06T19/00 ,  G06T7/73 ,  G06T19/20 ,  G06K9/00

    Abstract: Embodiments described herein relate to an augmented expression system to generate and cause display of a specially configured interface to present an augmented reality perspective. The augmented expression system receives image and video data of a user and tracks facial landmarks of the user based on the image and video data, in real-time to generate and present a 3-dimensional (3D) bitmoji of the user.

    Avatar style transformation using neural networks
    27.
    发明授权
    Avatar style transformation using neural networks 有权

    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

    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.

    Object modeling using light projection
    28.
    发明授权
    Object modeling using light projection 有权

    公开(公告)号：US11164376B1

    公开(公告)日：2021-11-02

    申请号：US16116590

    申请日：2018-08-29

    Applicant: Snap Inc.

    Inventor： Soumyadip Sengupta ,  Linjie Luo ,  Chen Cao ,  Menglei Chai

    IPC: G06K9/00 ,  G06T17/30

    Abstract: A shape generation system can generate a three-dimensional (3D) model of an object from a two-dimensional (2D) image of the object by projecting vectors onto light cones created from the 2D image. The projected vectors can be used to more accurately create the 3D model of the object based on image element (e.g., pixel) values of the image.

    Image face manipulation
    30.
    发明授权
    Image face manipulation 有权

    公开(公告)号：US11055514B1

    公开(公告)日：2021-07-06

    申请号：US16220859

    申请日：2018-12-14

    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.

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