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    GENERATIVE ADVERSARIAL NETWORK MANIPULATED IMAGE EFFECTS
    15.
    发明申请
    GENERATIVE ADVERSARIAL NETWORK MANIPULATED IMAGE EFFECTS 有权

    公开(公告)号：US20220207355A1

    公开(公告)日：2022-06-30

    申请号：US17318658

    申请日：2021-05-12

    Applicant: Snap Inc.

    Inventor： Sergey Demyanov ,  Konstantin Gudkov ,  Aleksei Stoliar ,  Roman Ushakov ,  Fedor Zhdanov

    IPC: G06N3/08 ,  G06N3/04 ,  G06T11/60

    Abstract: Systems and methods herein describe an image manipulation system for generating modified images using a generative adversarial network. The image manipulation system accesses a pre-trained generative adversarial network (GAN), fine-tunes the pre-trained GAN by training a portion of existing neural network layers of the pre-trained GAN and newly added layers of the pre-trained GAN on a secondary image domain, adjusts the weights of the fine-tuned GAN using the weights of the pre-trained GAN, and stores the fine-tuned GAN. An image transformation system uses the generated modified images to train a subsequent neural network, which can access a face from a client device and transform it to a domain of images used for GAN fine-tuning.

    NEURAL SHADING OF REFLECTIVE SURFACES
    17.
    发明公开
    NEURAL SHADING OF REFLECTIVE SURFACES 审中-公开

    公开(公告)号：US20240303902A1

    公开(公告)日：2024-09-12

    申请号：US18182117

    申请日：2023-03-10

    Applicant: SNAP INC.

    Inventor： Vladislav Shakhrai ,  Sergey Demyanov ,  Aleksei Stoliar ,  Istvan Marton

    IPC: G06T15/04 ,  G06T15/00

    CPC classification number: G06T15/04 ,  G06T15/005

    Abstract: The subject technology receives an object mesh, information related to a viewpoint for rendering an image of an object having a reflective surface, and a set of maps. The subject technology generates a rasterized RGB (Red Green Blue) image based on the object mesh, the viewpoint, and the set of maps. The subject technology generates, using a neural network model, an output image of the object with the reflective surface based at least in part on the rasterized RGB image and the viewpoint. The subject technology provides for display the output image of the object with the reflective surface on a display of a computer client device.

    AUTOMATED AUGMENTED REALITY EXPERIENCE CREATION SYSTEM
    19.
    发明公开
    AUTOMATED AUGMENTED REALITY EXPERIENCE CREATION SYSTEM 审中-公开

    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.

    Inventor： Konstantin Gudkov ,  Andrei Zharkov ,  Vadim Velicodnii ,  Aleksei Zhuravlev ,  Sergey Demyanov

    IPC: G06T19/00 ,  G06F3/01 ,  G06F3/04815 ,  G06F8/34

    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.

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