Video frame synthesis with deep learning

    公开(公告)号:US10812825B2

    公开(公告)日:2020-10-20

    申请号:US16349532

    申请日:2017-09-29

    Applicant: Google LLC

    Abstract: The present disclosure provides systems and methods that leverage machine-learned models (e.g., neural networks) to provide video frame synthesis. In particular, the systems and methods of the present disclosure can include or otherwise leverage a machine-learned video frame synthesis model to allow for video frames to be synthesized from videos. In one particular example, the video frame synthesis model can include a convolutional neural network having a voxel flow layer and provides one or more synthesized video frames as part of slow-motion video.

    Video Frame Synthesis with Deep Learning
    2.
    发明申请

    公开(公告)号:US20190289321A1

    公开(公告)日:2019-09-19

    申请号:US16349532

    申请日:2017-09-29

    Applicant: Google LLC

    Abstract: The present disclosure provides systems and methods that leverage machine-learned models (e.g., neural networks) to provide video frame synthesis. In particular, the systems and methods of the present disclosure can include or otherwise leverage a machine-learned video frame synthesis model to allow for video frames to be synthesized from videos. In one particular example, the video frame synthesis model can include a convolutional neural network having a voxel flow layer and provides one or more synthesized video frames as part of slow-motion video.

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