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    COMPRESSING IMAGE-TO-IMAGE MODELS WITH AVERAGE SMOOTHING
    1.
    发明申请
    COMPRESSING IMAGE-TO-IMAGE MODELS WITH AVERAGE SMOOTHING 有权

    公开(公告)号：US20250054199A1

    公开(公告)日：2025-02-13

    申请号：US18923108

    申请日：2024-10-22

    Applicant: Snap Inc.

    Inventor： Jian Ren ,  Menglei Chai ,  Sergey Tulyakov ,  Qing Jin

    IPC: G06T9/00 ,  G06N3/08

    Abstract: System and methods for compressing image-to-image models. Generative Adversarial Networks (GANs) have achieved success in generating high-fidelity images. An image compression system and method adds a novel variant to class-dependent parameters (CLADE), referred to as CLADE-Avg, which recovers the image quality without introducing extra computational cost. An extra layer of average smoothing is performed between the parameter and normalization layers. Compared to CLADE, this image compression system and method smooths abrupt boundaries, and introduces more possible values for the scaling and shift. In addition, the kernel size for the average smoothing can be selected as a hyperparameter, such as a 3×3 kernel size. This method does not introduce extra multiplications but only addition, and thus does not introduce much computational overhead, as the division can be absorbed into the parameters after training.

    GENERATING VIRTUAL HAIRSTYLE USING LATENT SPACE PROJECTORS
    3.
    发明公开
    GENERATING VIRTUAL HAIRSTYLE USING LATENT SPACE PROJECTORS 审中-公开

    公开(公告)号：US20240221259A1

    公开(公告)日：2024-07-04

    申请号：US18149007

    申请日：2022-12-30

    Applicant: Snap Inc.

    Inventor： Aleksandr Belskikh ,  Menglei Chai ,  Antoine Chassang ,  Anna Kovalenko ,  Pavel Savchenkov

    IPC: G06T13/40 ,  G06N3/094 ,  G06T19/00

    CPC classification number: G06T13/40 ,  G06N3/094 ,  G06T19/006

    Abstract: The subject technology generates a first image of a face using a GAN model. The subject technology applies 3D virtual hair on the first image to generate a second image with 3D virtual hair. The subject technology projects the second image with 3D virtual hair into a GAN latent space to generate a third image with realistic virtual hair. The subject technology performs a blend of the realistic virtual hair with the first image of the face to generate a new image with new realistic hair that corresponds to the 3D virtual hair. The subject technology trains a neural network that receives the second image with the 3D virtual hair and provides an output image with realistic virtual hair. The subject technology generates using the trained neural network, a particular output image with realistic hair based on a particular input image with 3D virtual hair.

    Motion representations for articulated animation
    6.
    发明授权
    Motion representations for articulated animation 有权

    公开(公告)号：US11798213B2

    公开(公告)日：2023-10-24

    申请号：US17364218

    申请日：2021-06-30

    Applicant: Snap Inc.

    Inventor： Menglei Chai ,  Jian Ren ,  Aliaksandr Siarohin ,  Sergey Tulyakov ,  Oliver Woodford

    IPC: G06T13/00 ,  G06N3/08 ,  G06T7/20 ,  G06T11/00 ,  G06N3/045

    CPC classification number: G06T13/00 ,  G06N3/045 ,  G06N3/08 ,  G06T7/20 ,  G06T11/001 ,  G06T2207/20081 ,  G06T2207/20084

    Abstract: Systems and methods herein describe novel motion representations for animating articulated objects consisting of distinct parts. The described systems and method access source image data, identify driving image data to modify image feature data in the source image sequence data, generate, using an image transformation neural network, modified source image data comprising a plurality of modified source images depicting modified versions of the image feature data, the image transformation neural network being trained to identify, for each image in the source image data, a driving image from the driving image data, the identified driving image being implemented by the image transformation neural network to modify a corresponding source image in the source image data using motion estimation differences between the identified driving image and the corresponding source image, and stores the modified source image data.

    Region-based stabilized face tracking
    9.
    发明授权
    Region-based stabilized face tracking 有权

    公开(公告)号：US10949648B1

    公开(公告)日：2021-03-16

    申请号：US16170997

    申请日：2018-10-25

    Applicant: Snap Inc.

    Inventor： Chen Cao ,  Menglei Chai ,  Linjie Luo ,  Oliver Woodford

    IPC: G06K9/00 ,  G06T13/40 ,  G06T7/73

    Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program and a method for accessing a set of images depicting at least a portion of a face. A set of facial regions of the face is identified, each facial region of the set of facial regions intersecting another facial region with at least one common vertex which is a member of a set of facial vertices. For each facial region of the set of facial regions, a weight formed from a set of region coefficients is generated. Based on the set of facial regions and the weight of each facial region of the set of facial regions, the face is tracked across the set of images.

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