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    RENDERING 3D CAPTIONS WITHIN REAL-WORLD ENVIRONMENTS
    41.
    发明申请
    RENDERING 3D CAPTIONS WITHIN REAL-WORLD ENVIRONMENTS 有权

    公开(公告)号：US20230089838A1

    公开(公告)日：2023-03-23

    申请号：US18073280

    申请日：2022-12-01

    Applicant: Snap Inc.

    Inventor： Kyle Goodrich ,  Samuel Edward Hare ,  Maxim Maximov Lazarov ,  Tony Mathew ,  Andrew James McPhee ,  Daniel Moreno ,  Wentao Shang

    IPC: H04L5/00 ,  H04L27/18

    Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program and method for rendering three-dimensional captions (3D) in real-world environments depicted in image content. An editing interface is displayed on a client device. The editing interface includes an input component displayed with a view of a camera feed. A first input comprising one or more text characters is received. In response to receiving the first input, a two-dimensional (2D) representation of the one or more text characters is displayed. In response to detecting a second input, a preview interface is displayed. Within the preview interface, a 3D caption based on the one or more text characters is rendered at a position in a 3D space captured within the camera feed. A message is generated that includes the 3D caption rendered at the position in the 3D space captured within the camera feed.

    PROVIDING 3D DATA FOR MESSAGES IN A MESSAGING SYSTEM
    42.
    发明申请
    PROVIDING 3D DATA FOR MESSAGES IN A MESSAGING SYSTEM 有权

    公开(公告)号：US20230017627A1

    公开(公告)日：2023-01-19

    申请号：US17952051

    申请日：2022-09-23

    Applicant: Snap Inc.

    Inventor： Kyle Goodrich ,  Samuel Edward Hare ,  Maxim Maximov Lazarov ,  Tony Mathew ,  Andrew James McPhee ,  Daniel Moreno ,  Dhritiman Sagar ,  Wentao Shang

    IPC: G06T19/00 ,  G06F3/04842 ,  G06T7/50 ,  H04L51/42

    Abstract: The subject technology generates depth data using a machine learning model based at least in part on captured image data from at least one camera of a client device. The subject technology applies, to the captured image data and the generated depth data, a 3D effect based at least in part on an augmented reality content generator. The subject technology generates a depth map using at least the depth data. The subject technology generates a packed depth map based at least in part on the depth map, the generating the packed depth map. The subject technology converts a single channel floating point texture to a raw depth map. The subject technology generates multiple channels based at least in part on the raw depth map. The subject technology generates a segmentation mask based at least on the captured image data. The subject technology performs background inpainting and blurring of the captured image data using at least the segmentation mask to generate background inpainted image data.

    3D CUTOUT IMAGE MODIFICATION
    48.
    发明申请
    3D CUTOUT IMAGE MODIFICATION 有权

    公开(公告)号：US20210287439A1

    公开(公告)日：2021-09-16

    申请号：US15929355

    申请日：2020-04-28

    Applicant: Snap Inc.

    Inventor： Kyle Goodrich ,  Samuel Edward Hare ,  Maxim Maximov Lazarov ,  Tony Mathew ,  Andrew James McPhee ,  Daniel Moreno ,  Wentao Shang

    IPC: G06T19/00 ,  G06T19/20 ,  G06T7/194 ,  G06T7/73 ,  G06K9/32 ,  G06K9/46 ,  G06F3/0481 ,  G06F3/0488 ,  G06F3/0484

    Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program and method for performing operations comprising: receiving, by a messaging application, an image generated by a camera of a user; displaying an option to crop an object depicted in the image; determining whether the object is depicted in the image; selectively enabling selection of the option to crop the object based on determining whether the object is depicted in the image; receiving input that selects the option to crop an object depicted in the image when the option is enabled; in response to receiving the input, segmenting the image to separate the object from other portions depicted in the image; extracting the object from the image; and adding the extracted object to a new image as a virtual object.

    Neural network-based image stream modification
    49.
    发明授权
    Neural network-based image stream modification 有权

    公开(公告)号：US10679428B1

    公开(公告)日：2020-06-09

    申请号：US15990318

    申请日：2018-05-25

    Applicant: Snap Inc.

    Inventor： Travis Chen ,  Samuel Edward Hare ,  Yuncheng Li ,  Tony Mathew ,  Jonathan Solichin ,  Jianchao Yang ,  Ning Zhang

    IPC: G06T19/20 ,  G06T7/20 ,  G06T19/00 ,  G06K9/00 ,  G06K9/32 ,  G06T7/73

    Abstract: Systems, devices, media, and methods are presented for object detection and inserting graphical elements into an image stream in response to detecting the object. The systems and methods detect an object of interest in received frames of a video stream. The systems and methods identify a bounding box for the object of interest and estimate a three-dimensional position of the object of interest based on a scale of the object of interest. The systems and methods generate one or more graphical elements having a size based on the scale of the object of interest and a position based on the three-dimensional position estimated for the object of interest. The one or more graphical elements are generated within the video stream to form a modified video stream. The systems and methods cause presentation of the modified video stream including the object of interest and the one or more graphical elements.

    Automatic software performance optimization
    50.
    发明授权
    Automatic software performance optimization 有权

    公开(公告)号：US10409569B1

    公开(公告)日：2019-09-10

    申请号：US15859004

    申请日：2017-12-29

    Applicant: Snap Inc.

    Inventor： Guohui Wang ,  Fenglei Tian ,  Samuel Edward Hare ,  Sumant Hanumante ,  Tony Mathew

    IPC: G06F9/44 ,  G06F8/41 ,  G06N3/04 ,  G06F9/50

    Abstract: Among other things, embodiments of the present disclosure improve the functionality of computer software and systems by facilitating the automatic performance optimization of a software application based on the particular platform upon which the application runs. In some embodiments, the system can automatically choose a set of parameters or methods at run-time from a design space with pre-selected optimization methods and parameters (e.g., algorithms, software libraries, and/or hardware accelerators) for a specific task.

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