Artifact reduction for image style transfer

    公开(公告)号:US10152768B2

    公开(公告)日:2018-12-11

    申请号:US15488424

    申请日:2017-04-14

    Applicant: Facebook, Inc.

    Abstract: An image processing system transforms content images into the style of another reference style image. For example, the system applies a noise mask to generate noisy versions of the content images. The system then recomposes a content image in the style of a reference image by applying computer models to the noisy version of the content image, which reduces artifacts in the stylized image compared to that of a stylized image generated by applying the computer models to the original content image. When the content images are part of a video sequence, the image processing system may adjust the noise mask applied in a subsequent frame such that it tracks the movement of the client device from the current frame to the subsequent frame. This allows the system to reduce artifacts while stylizing the frames of the video in a consistent manner.

    ARTIFACT REDUCTION FOR IMAGE STYLE TRANSFER
    2.
    发明申请

    公开(公告)号:US20180300850A1

    公开(公告)日:2018-10-18

    申请号:US15488424

    申请日:2017-04-14

    Applicant: Facebook, Inc.

    CPC classification number: G06N3/08 G06T5/50

    Abstract: An image processing system transforms content images into the style of another reference style image. For example, the system applies a noise mask to generate noisy versions of the content images. The system then recomposes a content image in the style of a reference image by applying computer models to the noisy version of the content image, which reduces artifacts in the stylized image compared to that of a stylized image generated by applying the computer models to the original content image. When the content images are part of a video sequence, the image processing system may adjust the noise mask applied in a subsequent frame such that it tracks the movement of the client device from the current frame to the subsequent frame. This allows the system to reduce artifacts while stylizing the frames of the video in a consistent manner.

    Dynamic integration of machine-learning modules

    公开(公告)号:US11176485B2

    公开(公告)日:2021-11-16

    申请号:US15696419

    申请日:2017-09-06

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a method includes a system building a first machine-learning module and one or more secondary machine-learning modules for operating with an application. The first and second modules may be configured to utilize, in operation, particular types of processing hardware, respectively. The system may receive from a client device a request to download the application, and in response send to the device the application with the first module. The system may then receive another request to download a selected one of the secondary modules, which may be selected based on a determination by the application running on the device that the associated type of processing hardware is available. In response, the system may send the selected module to the device. The application may be configured to selectively use the first module or the selected module to perform an operation.

    Dynamic Integration of Machine-Learning Modules

    公开(公告)号:US20190073607A1

    公开(公告)日:2019-03-07

    申请号:US15696419

    申请日:2017-09-06

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a method includes a system building a first machine-learning module and one or more secondary machine-learning modules for operating with an application. The first and second modules may be configured to utilize, in operation, particular types of processing hardware, respectively. The system may receive from a client device a request to download the application, and in response send to the device the application with the first module. The system may then receive another request to download a selected one of the secondary modules, which may be selected based on a determination by the application running on the device that the associated type of processing hardware is available. In response, the system may send the selected module to the device. The application may be configured to selectively use the first module or the selected module to perform an operation.

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