Eye texture inpainting
    5.
    发明授权

    公开(公告)号:US11074675B2

    公开(公告)日:2021-07-27

    申请号:US16051083

    申请日:2018-07-31

    Applicant: Snap Inc.

    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
    6.
    发明申请

    公开(公告)号:US20190325631A1

    公开(公告)日:2019-10-24

    申请号:US16387092

    申请日:2019-04-17

    Applicant: Snap Inc.

    Abstract: The present invention relates to improvements to systems and methods for determining a current location of a client device, and for identifying and selecting appropriate geo-fences based on the current location of the client device. An improved geo-fence selection system performs operations that include associating media content with a geo-fence that encompasses a portion of a geographic region, sampling location data from a client device, defining a boundary based on the sampled location data from the client device, detecting an overlap between the boundary and the geo-fence, retrieving the media content associated with the geo-fence, and loading the media content at a memory location of the client device, in response to detecting the overlap.

    Image face manipulation
    9.
    发明授权

    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.

    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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