IDENTIFYING INSTANCES OF DIGITAL CONTENT
    111.
    发明公开

    公开(公告)号:US20240311428A1

    公开(公告)日:2024-09-19

    申请号:US18206901

    申请日:2023-06-07

    Applicant: Adobe Inc.

    CPC classification number: G06F16/90344 G06F16/906 G06F40/295 G06F40/30

    Abstract: In implementations of systems for identifying instances of digital content, a computing device implements a content system to receive input data describing attributes of an entity segment and keywords that are associated with the attributes of the entity segment. The content system determines additional keywords that are semantically similar to the keywords using a machine-learning model trained on training data to classify semantically similar keywords. A set of matchable keywords is compiled that includes the keywords and the additional keywords. The content system identifies candidate instances of digital content based on content keywords assigned to the candidate instances of digital content and the set of matchable keywords. An indication of an instance of digital content is generated for display in a user interface based on the candidate instances of digital content.

    DEEP LEARNING BASED COPYING AND PASTING OF TRANSPARENT OBJECTS

    公开(公告)号:US20240289965A1

    公开(公告)日:2024-08-29

    申请号:US18176230

    申请日:2023-02-28

    Applicant: Adobe Inc.

    CPC classification number: G06T7/194 G06T3/4046 G06T2207/20084

    Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that generate a modified digital image depicting a transparent object utilizing a transparency properties neural network. For example, the disclosed system accesses a trimap for a source digital image depicting a transparent object. The disclosed system utilizes the trimap of the source digital image and the source digital image to generate an alpha matte and a refractive flow. Specifically, the disclosed system generates the alpha matte and refractive flow by utilizing a transparency properties neural network. Furthermore, the disclosed system generates the modified digital image depicting the transparent object (from the source digital image) within a background of a target digital image, by modifying a portion of the background of a target digital image behind the transparent object utilizing the alpha matte and the refractive flow.

    Generating vector representations of visual objects

    公开(公告)号:US12073153B2

    公开(公告)日:2024-08-27

    申请号:US17166937

    申请日:2021-02-03

    Applicant: Adobe Inc.

    CPC classification number: G06F30/20 G06F17/16

    Abstract: Generating vector representations of visual objects is leveraged in a digital medium environment. For instance, a raster-based visual input object is encoded into a global latent code and individual path latent codes for visual components of the raster visual object are extracted from the global latent code. The path latent codes are decoded and used to generate vector representations of the original raster versions of the visual components. The vector representations are rasterized and composited to generate an output object that simulates a visual appearance of the input object.

    DECENTRALIZED PLATFORM FOR ARTIFICIAL INTELLIGENCE DATA PROVENANCE AND COMMODIFICATION

    公开(公告)号:US20240281504A1

    公开(公告)日:2024-08-22

    申请号:US18172714

    申请日:2023-02-22

    Applicant: ADOBE INC.

    CPC classification number: G06F21/105 H04L9/3213 H04L2209/603

    Abstract: Systems and methods for managing rights for creative work are provided. One aspect of the systems and methods includes receiving, at a rights contract on a distributed virtual machine operated based on a public blockchain, input data including an ownership token identifier for an ownership token, where the ownership token indicates ownership of a creative work. Another aspect of the systems and methods includes obtaining, at the rights contract, an indication of usage rights for the creative work corresponding to the ownership token. Yet another aspect of the systems and methods includes minting, via the rights contract, a rights token corresponding to the ownership token, where the rights token includes a reference to the indication of the usage rights for the creative work.

Patent Agency Ranking