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    Generating a digital image using a generative adversarial network
    11.
    发明授权
    Generating a digital image using a generative adversarial network 有权

    公开(公告)号：US11222246B2

    公开(公告)日：2022-01-11

    申请号：US16733766

    申请日：2020-01-03

    Applicant: eBay Inc.

    Inventor： Mohammadhadi Kiapour ,  Shuai Zheng ,  Robinson Piramuthu ,  Omid Poursaeed

    IPC: G06K9/66 ,  G06K9/62 ,  G06K9/32 ,  G06K9/00 ,  G06Q30/06 ,  G06F16/532 ,  G06F16/583 ,  G06F16/9535 ,  G06K9/36

    Abstract: Various embodiments described herein utilize multiple levels of generative adversarial networks (GANs) to facilitate generation of digital images based on user-provided images. Some embodiments comprise a first generative adversarial network (GAN) and a second GAN coupled to the first GAN, where the first GAN includes an image generator and at least two discriminators, and the second GAN includes an image generator and at least one discriminator. According to some embodiments, the (first) image generator of the first GAN is trained by processing a user-provided image using the first GAN. For some embodiments, the user-provided image and the first generated image, generated by processing the user-provided image using the first GAN, are combined to produce a combined image. For some embodiments, the (second) image generator of the second GAN is trained by processing the combined image using the second GAN.

    Camera Platform and Object Inventory Control
    13.
    发明申请
    Camera Platform and Object Inventory Control 有权

    公开(公告)号：US20210158046A1

    公开(公告)日：2021-05-27

    申请号：US17170549

    申请日：2021-02-08

    Applicant: eBay Inc.

    Inventor： Shuai Zheng ,  Fan Yang ,  Mohammadhadi Kiapour ,  Qiaosong Wang ,  Japjit S. Tulsi ,  Robinson Piramuthu

    IPC: G06K9/00 ,  H04N5/232 ,  G06T11/60 ,  H04N7/18 ,  G06Q30/08 ,  G06Q30/06 ,  G06K9/66 ,  G06N20/00 ,  G06K9/62 ,  G06K9/78 ,  G06T7/60

    Abstract: Camera platform techniques are described. In an implementation, a plurality of digital images and data describing times, at which, the plurality of digital images are captured is received by a computing device. Objects of clothing are recognized from the digital images by the computing device using object recognition as part of machine learning. A user schedule is also received by the computing device that describes user appointments and times, at which, the appointments are scheduled. A user profile is generated by the computing device by training a model using machine learning based on the recognized objects of clothing, times at which corresponding digital images are captured, and the user schedule. From the user profile, a recommendation is generated by processing a subsequent user schedule using the model as part of machine learning by the computing device.

    GENERATING A DIGITAL IMAGE USING A GENERATIVE ADVERSARIAL NETWORK
    17.
    发明申请
    GENERATING A DIGITAL IMAGE USING A GENERATIVE ADVERSARIAL NETWORK 有权

    公开(公告)号：US20220092367A1

    公开(公告)日：2022-03-24

    申请号：US17539558

    申请日：2021-12-01

    Applicant: eBay Inc.

    Inventor： Mohammadhadi Kiapour ,  Shuai Zheng ,  Robinson Piramuthu ,  Omid Poursaeed

    IPC: G06K9/66 ,  G06K9/62 ,  G06K9/32 ,  G06K9/00 ,  G06Q30/06 ,  G06F16/532 ,  G06F16/583 ,  G06F16/9535 ,  G06K9/36

    Abstract: Various embodiments described herein utilize multiple levels of generative adversarial networks (GANs) to facilitate generation of digital images based on user-provided images. Some embodiments comprise a first generative adversarial network (GAN) and a second GAN coupled to the first GAN, where the first GAN includes an image generator and at least two discriminators, and the second GAN includes an image generator and at least one discriminator. According to some embodiments, the (first) image generator of the first GAN is trained by processing a user-provided image using the first GAN. For some embodiments, the user-provided image and the first generated image, generated by processing the user-provided image using the first GAN, are combined to produce a combined image. For some embodiments, the (second) image generator of the second GAN is trained by processing the combined image using the second GAN.

    Intelligent online personal assistant with image text localization
    19.
    发明申请
    Intelligent online personal assistant with image text localization 有权

    公开(公告)号：US20210224877A1

    公开(公告)日：2021-07-22

    申请号：US17222251

    申请日：2021-04-05

    Applicant: eBay Inc.

    Inventor： Shuai Zheng ,  Robinson Piramuthu

    IPC: G06Q30/06 ,  G06F16/532 ,  G06N3/04 ,  G06N3/00 ,  G06K9/32 ,  G06F16/583 ,  G06N5/02 ,  G06K9/00 ,  G06K9/52 ,  G06K9/62 ,  G06K9/66 ,  G06N3/08 ,  G06Q20/12 ,  G06Q20/40 ,  G06T7/00

    Abstract: Systems, methods, and computer program products for identifying a candidate product in an electronic marketplace based on a visual comparison between candidate product image visual text content and input query image visual text content. Unlike conventional optical character recognition (OCR) based systems, embodiments automatically localize and isolate portions of a candidate product image and an input query image that each contain visual text content, and calculate a visual similarity measure between the respective portions. A trained neural network may be re-trained to more effectively find visual text content by using the localized and isolated visual text content portions as additional ground truths. The visual similarity measure serves as a visual search result score for the candidate product. Any number of images of any number of candidate products may be compared to an input query image to enable text-in-image based product searching without resorting to conventional OCR techniques.

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