VIDEO MERGING METHOD, DEVICE, EQUIPMENT AND MEDIUM

    公开(公告)号:US20240363145A1

    公开(公告)日:2024-10-31

    申请号:US18688705

    申请日:2022-09-02

    CPC classification number: G11B27/031 G06V20/46 G06V20/49

    Abstract: A video merging method, a device, an equipment and a medium are provided, and the method includes: obtaining a first video clip and a second video clip which are to be merged; performing image processing on the first video clip and the second video clip, wherein the first video clip after the image processing and the second video clip after the image processing have a same picture display effect, in which the picture display effect includes an image quality and/or a picture style; performing audio processing on the first video clip and the second video clip, wherein the first video clip after the audio processing and the second video clip after the audio processing have a same background sound; and merging the first video clip after the image processing and the audio processing with the second video clip after the image processing and the audio processing.

    METHOD AND APPARATUS FOR GENERATING STYLIZED IMAGE, ELECTRONIC DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20250104308A1

    公开(公告)日:2025-03-27

    申请号:US18730701

    申请日:2023-01-13

    Abstract: Embodiments of the present disclosure provide a method and apparatus for generating a stylized image, an electronic device and a storage medium. The method includes: acquiring model parameters to be transferred of a face image generation model to construct a first sample generation model to be trained and a second sample generation model to be trained; respectively training corresponding sample generation models to be trained based on training samples of a first style type and a training sample of a second style type to obtain a first target sample generation model and a second target sample generation model; and determining a target style data generation model based on model parameters to be fitted of the two target sample generation models to generate, based on the target style data generation model, a stylized image in which the two style types are fused.

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