Object replacement system
    1.
    发明授权

    公开(公告)号:US11954762B2

    公开(公告)日:2024-04-09

    申请号:US17648363

    申请日:2022-01-19

    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 performing operations comprising: receiving an image that includes a depiction of a real-world environment; processing the image to obtain data indicating presence of a real-world object in the real-world environment; receiving input that selects an AR experience comprising an AR object; determining that the real-world object detected in the real-world environment depicted in the image indicated in the obtained data corresponds to the AR object; applying a machine learning technique to the image to generate a new image that depicts the real-world environment without the real-world object; and applying the AR object to the new image to generate a modified new image that depicts the real-world environment including the AR object in place of the real-world object.

    AUTOMATED AUGMENTED REALITY EXPERIENCE CREATION SYSTEM

    公开(公告)号:US20230386144A1

    公开(公告)日:2023-11-30

    申请号:US17804500

    申请日:2022-05-27

    Applicant: Snap Inc.

    CPC classification number: G06T19/006 G06F3/011 G06F3/04815 G06F8/34

    Abstract: Methods and systems are disclosed for performing automatically creating AR experiences on a messaging platform. The methods and systems perform operations that include: receiving, via a graphical user interface (GUI), input that specifies a plurality of image transformation parameters; accessing a set of sample source images; modifying the set of sample source images based on the plurality of image transformation parameters to generate a set of sample target images; training a machine learning model to generate a given target image from a given source image by establishing a relationship between the set of sample source images and the set of sample target images; and automatically generating an augmented reality experience comprising the trained machine learning model.

    Object replacement system
    4.
    发明授权

    公开(公告)号:US11908041B2

    公开(公告)日:2024-02-20

    申请号:US17648363

    申请日:2022-01-19

    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 performing operations comprising: receiving an image that includes a depiction of a real-world environment; processing the image to obtain data indicating presence of a real-world object in the real-world environment; receiving input that selects an AR experience comprising an AR object; determining that the real-world object detected in the real-world environment depicted in the image indicated in the obtained data corresponds to the AR object; applying a machine learning technique to the image to generate a new image that depicts the real-world environment without the real-world object; and applying the AR object to the new image to generate a modified new image that depicts the real-world environment including the AR object in place of the real-world object.

    OBJECT REPLACEMENT SYSTEM
    5.
    发明公开

    公开(公告)号:US20230230292A1

    公开(公告)日:2023-07-20

    申请号:US17648363

    申请日:2022-01-19

    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 performing operations comprising: receiving an image that includes a depiction of a real-world environment; processing the image to obtain data indicating presence of a real-world object in the real-world environment; receiving input that selects an AR experience comprising an AR object; determining that the real-world object detected in the real-world environment depicted in the image indicated in the obtained data corresponds to the AR object; applying a machine learning technique to the image to generate a new image that depicts the real-world environment without the real-world object; and applying the AR object to the new image to generate a modified new image that depicts the real-world environment including the AR object in place of the real-world object.

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