SYSTEMS AND METHODS OF GENERATING PHOTOREALISTIC GARMENT TRANSFERENCE IN IMAGES

    公开(公告)号:US20210118149A1

    公开(公告)日:2021-04-22

    申请号:US16658206

    申请日:2019-10-21

    Abstract: Systems and methods are provided for determining a first semantic segmentation image of a first image, wherein the first image includes at least a portion of a person wearing a first fashion item. A plurality of keypoints of the person's body may be determined in the first image. Using the determined first semantic segmentation image, the determined keypoints, and a second image that includes a second fashion item, a second semantic segmentation image of the person in the first image with the second fashion item of the second image may be generated. The first image may be masked to occlude pixels of the first fashion item that is to be replaced with the second fashion item. Using the masked first image, the second semantic segmentation image, and the second image that includes the second fashion item, a third image may be generated that includes the person with the second fashion item.

    MULTI-LABEL PRODUCT CATEGORIZATION
    533.
    发明申请

    公开(公告)号:US20210118024A1

    公开(公告)日:2021-04-22

    申请号:US16658315

    申请日:2019-10-21

    Abstract: Systems, device and techniques are disclosed for multi-label product categorization. A catalog entry and a list of categories may be received. The catalog entry may be associated with an item. A textual description may be generated by comparing words in the catalog entry to existing vocabularies of words and applying part-of-speech tagging to the catalog entry. A feature vector may be generated from the textual description by applying any of token frequency feature creation, term frequency-inverse document frequency feature creation, and pre-trained word embeddings to the textual description. A set of probabilities may be determined by inputting the feature vector into a machine learning model. The set of probabilities may include a probability for each category in the list of categories.

    Customizing sequences of content objects

    公开(公告)号:US10984665B2

    公开(公告)日:2021-04-20

    申请号:US15479729

    申请日:2017-04-05

    Abstract: Disclosed are examples of systems, apparatus, methods, and computer program products customizing sequences of content objects in an educational content management system. In some implementations, educational content objects can be displayed. A first educational content object selection can be processed. A content object sequence can be generated or updated and the first educational content object can be added to the content object sequence. A second educational content object can be added to the content object sequence. The content object sequence can be shared with a user of an enterprise learning system.

    Predicting entities for search query results

    公开(公告)号:US10970336B2

    公开(公告)日:2021-04-06

    申请号:US16049559

    申请日:2018-07-30

    Abstract: For a database accessible by a plurality of separate organizations, a system is provided for predicting entities for database query results. The system includes a multi-layer neural network. The system is configured to receive a query encoding for one or more previous queries made into the database, a user entity view frequency encoding for a frequency of views by one or more users, and an organization encoding for one or more separate organizations accessing the database; and based on the query encoding, the user entity view frequency encoding, and the organization encoding, generate a neural model for predicting entities for results to a present query into the database. In some embodiments, the neural model is global across the separate organizations accessing the database.

    Infrastructure base model API
    539.
    发明授权

    公开(公告)号:US10970135B2

    公开(公告)日:2021-04-06

    申请号:US16375331

    申请日:2019-04-04

    Abstract: Embodiments of apparatus, systems, and methods are described for creating and managing an abstract, API-based infrastructure base model. The API-based model can abstract infrastructure assets, such as infrastructure components or connections between components, into a metadata model using standardized syntax and interfaces, for defining and building an infrastructure. Using a modeling document, connections and components of an infrastructure can be abstracted into an API-based model having semantics that covers them all. Connections and infrastructure components can be made available for selection, arrangement, and grouping to build complex infrastructure models without requiring complex API coding by the user. Other infrastructure models having different API definitions can be by abstracted to standardize the assets for building new APIs. The APIs can be further modified and exported to another or the same implementation project.

    Mixed cart solution for an in-store app

    公开(公告)号:US10963946B2

    公开(公告)日:2021-03-30

    申请号:US16051401

    申请日:2018-07-31

    Abstract: Disclosed herein are system, method, and computer program product embodiments for providing a mixed-cart solution for an in-store app. An embodiment operates by receiving a request to add an item from a physical store to an associate shopping cart associated with an account. It is determined that the account is additionally associated with an online shopping cart associated with the store, and that the requested item does not exist in the online shopping cart. It selected item is added to the associate shopping cart. Both the online shopping cart and the associate shopping cart are provided to a computing device configured to simultaneously display both the online shopping cart and the associate shopping cart.

Patent Agency Ranking