Method of generating cinemagraph based on deep learning

    公开(公告)号:US12182918B2

    公开(公告)日:2024-12-31

    申请号:US17847472

    申请日:2022-06-23

    Abstract: A method of training a deep neural network for generating a cinemagraph is disclosed. The method may include preparing a foreground layer input by using an input video, preparing a background layer input by using the input video, providing a foreground layer output and a background layer output from the DNN by inputting, to the DNN, the foreground layer input and the background layer input, providing an output video by synthesizing the foreground layer output with the background layer output, and updating intrinsic parameters of the DNN a plurality of times, based on the input video, the foreground layer input, the foreground layer output, the background layer output, and the output video.

    IMAGE PROCESSING METHOD AND APPARATUS

    公开(公告)号:US20220164921A1

    公开(公告)日:2022-05-26

    申请号:US17444919

    申请日:2021-08-12

    Abstract: Disclosed is an image processing method and apparatus. The image processing method includes extracting a content latent code and a style latent code for each of a plurality of input images, obtaining a content feature vector by calculating a weighted sum of content latent codes extracted from the input images based on a morphing control parameter, obtaining a style feature vector by calculating a weighted sum of style latent codes extracted from the input images based on the morphing control parameter, and generating a morphing image based on the content feature vector and the style feature vector.

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