AUTOMATIC IMAGE QUALITY EVALUATION
    1.
    发明公开

    公开(公告)号:US20240296535A1

    公开(公告)日:2024-09-05

    申请号:US18176843

    申请日:2023-03-01

    Applicant: Snap Inc.

    Abstract: Examples disclosed herein describe techniques for automatic image quality evaluation. A first set of images generated by a first automated image generator and a second set of images generated by a second automated image generator are accessed. A first machine learning model generates a first quality indicator for each image in the first set of images and the second set of images. A second machine learning model generates a second quality indicator for each image in the first set of images and the second set of images. Based on the generated indicators, a first image from the first set of images and a second image from the second set of images are automatically selected and compared. A first ranking of the first automated image generator and the second automated image generator is generated based on the comparison, and ranking data is caused to be presented on a device.

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