中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

8 records (took 0.012 seconds)

    GENERATING AND COMPOSITING HAIR PIXELS USING GENERATIVE NEURAL NETWORKS
    3.
    发明申请
    GENERATING AND COMPOSITING HAIR PIXELS USING GENERATIVE NEURAL NETWORKS 有权

    公开(公告)号：US20240428482A1

    公开(公告)日：2024-12-26

    申请号：US18338964

    申请日：2023-06-21

    Applicant: Adobe Inc.

    Inventor： Siavash Khodadadeh ,  Jinrong Xie ,  Ratheesh Kalarot ,  Shabnam Ghadar

    IPC: G06T11/60 ,  G06T3/00 ,  G06T5/00 ,  G06T5/20 ,  G06T7/11

    Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating and composting pixels of a digital image that depict hair of an individual using generative neural networks. In some embodiments, the disclosed systems receive a modification to a face crop enclosing a face depicted within a digital image. In some cases, the disclosed systems determine, from the modification, modified hair pixels within the face crop of the digital image and unmodified hair pixels outside of the face crop of the digital image. The disclosed systems generate, for the unmodified hair pixels outside of the face crop, replacement hair pixels that resemble the modified hair pixels utilizing a generative neural network. Additionally, the disclosed systems generate a modified digital image by replacing the unmodified hair pixels outside of the face crop with the replacement hair pixels.

    MULTI-ATTRIBUTE FACE EDITING
    4.
    发明申请
    MULTI-ATTRIBUTE FACE EDITING 有权

    公开(公告)号：US20240412429A1

    公开(公告)日：2024-12-12

    申请号：US18332163

    申请日：2023-06-09

    Applicant: ADOBE INC.

    Inventor： Wei-An Lin ,  Hui Qu ,  Siavash Khodadadeh ,  Kevin Duarte ,  Surabhi Sinha ,  Ratheesh Kalarot ,  Shabnam Ghadar

    IPC: G06T11/60 ,  G06V10/82 ,  G06V40/16

    Abstract: Systems and methods for editing multiple attributes of an image are described. Embodiments are configured to receive input comprising an image of a face and a target value of an attribute of the face to be modified; encode the image using an encoder of an image generation neural network to obtain an image embedding; and generate a modified image of the face having the target value of the attribute based on the image embedding using a decoder of the image generation neural network. The image generation neural network is trained using a plurality of training images generated by a separate training image generation neural network, and the plurality of training images include a first synthetic image having a first value of the attribute and a second synthetic image depicting a same face as the first synthetic image with a second value of the attribute.

    GUIDED COMODGAN OPTIMIZATION
    5.
    发明公开
    GUIDED COMODGAN OPTIMIZATION 审中-公开

    公开(公告)号：US20240152757A1

    公开(公告)日：2024-05-09

    申请号：US18053641

    申请日：2022-11-08

    Applicant: ADOBE INC.

    Inventor： Zohreh Azizi ,  Surabhi Sinha ,  Siavash Khodadadeh

    IPC: G06N3/08 ,  G06N3/04 ,  G06T5/00 ,  G06V40/16

    CPC classification number: G06N3/082 ,  G06N3/0454 ,  G06T5/005 ,  G06V40/172

    Abstract: Methods for image processing are described. Embodiments of the present disclosure identifies an image generation network that includes an encoder and a decoder; prunes channels of a block of the encoder; prunes channels of a block of the decoder that is connected to the block of the encoder by a skip connection, wherein the channels of the block of the decoder are pruned based on the pruned channels of the block of the encoder; and generates an image using the image generation network based on the pruned channels of the block of the encoder and the pruned channels of the block of the decoder.

    ANONYMIZING DIGITAL IMAGES UTILIZING A GENERATIVE ADVERSARIAL NEURAL NETWORK
    6.
    发明公开
    ANONYMIZING DIGITAL IMAGES UTILIZING A GENERATIVE ADVERSARIAL NEURAL NETWORK 审中-公开

    公开(公告)号：US20240143835A1

    公开(公告)日：2024-05-02

    申请号：US18052121

    申请日：2022-11-02

    Applicant: Adobe Inc.

    Inventor： Siavash Khodadadeh ,  Ratheesh Kalarot ,  Shabnam Ghadar ,  Yannick Hold-Geoffroy

    IPC: G06F21/62 ,  G06N3/0455 ,  G06N3/0475

    CPC classification number: G06F21/6254 ,  G06N3/0455 ,  G06N3/0475

    Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating anonymized digital images utilizing a face anonymization neural network. In some embodiments, the disclosed systems utilize a face anonymization neural network to extract or encode a face anonymization guide that encodes face attribute features, such as gender, ethnicity, age, and expression. In some cases, the disclosed systems utilize the face anonymization guide to inform the face anonymization neural network in generating synthetic face pixels for anonymizing a digital image while retaining attributes, such as gender, ethnicity, age, and expression. The disclosed systems learn parameters for a face anonymization neural network for preserving face attributes, accounting for multiple faces in digital images, and generating synthetic face pixels for faces in profile poses.

    Automatic object re-colorization
    7.
    发明授权
    Automatic object re-colorization 有权

    公开(公告)号：US11854119B2

    公开(公告)日：2023-12-26

    申请号：US17155570

    申请日：2021-01-22

    Applicant: Adobe Inc.

    Inventor： Siavash Khodadadeh ,  Zhe Lin ,  Shabnam Ghadar ,  Saeid Motiian ,  Richard Zhang ,  Ratheesh Kalarot ,  Baldo Faieta

    IPC: G06N3/08 ,  G06T7/90 ,  G06N3/045 ,  G06T11/00

    CPC classification number: G06T11/001 ,  G06N3/045 ,  G06N3/08 ,  G06T7/90

    Abstract: Embodiments are disclosed for automatic object re-colorization in images. In some embodiments, a method of automatic object re-colorization includes receiving a request to recolor an object in an image, the request including an object identifier and a color identifier, identifying an object in the image associated with the object identifier, generating a mask corresponding to the object in the image, providing the image, the mask, and the color identifier to a color transformer network, the color transformer network trained to recolor objects in input images, and generating, by the color transformer network, a recolored image, wherein the object in the recolored image has been recolored to a color corresponding to the color identifier.

Patent Agency Ranking