Smart guide to capture digital images that align with a target image model

    公开(公告)号:US10574881B2

    公开(公告)日:2020-02-25

    申请号:US15897951

    申请日:2018-02-15

    Applicant: Adobe Inc.

    Abstract: The present disclosure includes systems, methods, and non-transitory computer readable media that can guide a user to align a camera feed captured by a user client device with a target digital image. In particular, the systems described herein can analyze a camera feed to determine image attributes for the camera feed. The systems can compare the image attributes of the camera feed with corresponding target image attributes of a target digital image. Additionally, the systems can generate and provide instructions to guide a user to align the image attributes of the camera feed with the target image attributes of the target digital image.

    Capturing digital images that align with a target image model

    公开(公告)号:US10958829B2

    公开(公告)日:2021-03-23

    申请号:US16743976

    申请日:2020-01-15

    Applicant: Adobe Inc.

    Abstract: The present disclosure includes systems, methods, and non-transitory computer readable media that can guide a user to align a camera feed captured by a user client device with a target digital image. In particular, the systems described herein can analyze a camera feed to determine image attributes for the camera feed. The systems can compare the image attributes of the camera feed with corresponding target image attributes of a target digital image. Additionally, the systems can generate and provide instructions to guide a user to align the image attributes of the camera feed with the target image attributes of the target digital image.

    CAPTURING DIGITAL IMAGES THAT ALIGN WITH A TARGET IMAGE MODEL

    公开(公告)号:US20200154037A1

    公开(公告)日:2020-05-14

    申请号:US16743976

    申请日:2020-01-15

    Applicant: Adobe Inc.

    Abstract: The present disclosure includes systems, methods, and non-transitory computer readable media that can guide a user to align a camera feed captured by a user client device with a target digital image. In particular, the systems described herein can analyze a camera feed to determine image attributes for the camera feed. The systems can compare the image attributes of the camera feed with corresponding target image attributes of a target digital image. Additionally, the systems can generate and provide instructions to guide a user to align the image attributes of the camera feed with the target image attributes of the target digital image.

    UTILIZING A NEURAL NETWORK TO GENERATE LABEL DISTRIBUTIONS FOR TEXT EMPHASIS SELECTION

    公开(公告)号:US20210133279A1

    公开(公告)日:2021-05-06

    申请号:US16672733

    申请日:2019-11-04

    Applicant: Adobe Inc.

    Abstract: The present disclosure relates to utilizing a neural network to flexibly generate label distributions for modifying a segment of text to emphasize one or more words that accurately communicate the meaning of the segment of text. For example, the disclosed systems can utilize a neural network having a long short-term memory neural network architecture to analyze a segment of text and generate a plurality of label distributions corresponding to the words included therein. The label distribution for a given word can include probabilities across a plurality of labels from a text emphasis labeling scheme where a given probability represents the degree to which the corresponding label describes the word. The disclosed systems can modify the segment of text to emphasize one or more of the included words based on the generated label distributions.

    SMART GUIDE TO CAPTURE DIGITAL IMAGES THAT ALIGN WITH A TARGET IMAGE MODEL

    公开(公告)号:US20190253614A1

    公开(公告)日:2019-08-15

    申请号:US15897951

    申请日:2018-02-15

    Applicant: Adobe Inc

    Abstract: The present disclosure includes systems, methods, and non-transitory computer readable media that can guide a user to align a camera feed captured by a user client device with a target digital image. In particular, the systems described herein can analyze a camera feed to determine image attributes for the camera feed. The systems can compare the image attributes of the camera feed with corresponding target image attributes of a target digital image. Additionally, the systems can generate and provide instructions to guide a user to align the image attributes of the camera feed with the target image attributes of the target digital image.

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