VIDEO GENERATION METHOD, APPARATUS, DEVICE AND STORAGE MEDIUM

    公开(公告)号:US20250097545A1

    公开(公告)日:2025-03-20

    申请号:US18711530

    申请日:2022-11-18

    Applicant: Lemon Inc.

    Abstract: The embodiments of the present disclosure provide a video generation method, an apparatus, a device, and a storage medium, the video generation method including: obtaining a plurality of images and music matched to the plurality of images; determining first feature information for the plurality of images and second feature information for the music; according to the first feature information, the second feature information and a plurality of pre-stored rendering effects, determining a target rendering effect combination; the rendering effects being animation, special effects or a transition; and generating a video according to the plurality of images, the music and the target rendering effect combination.

    METHOD, DEVICE, STORAGE MEDIUM AND PROGRAM PRODUCT FOR MUSIC SCREENING

    公开(公告)号:US20240241907A1

    公开(公告)日:2024-07-18

    申请号:US18570310

    申请日:2022-05-10

    Applicant: LEMON INC.

    CPC classification number: G06F16/68 G06F16/55 G06F16/65 G06V10/764

    Abstract: Embodiments of the disclosure provide a method, device, storage medium and program product for music screening. The method includes: obtaining at least one image and at least one piece of to-be-selected music; determining an analysis result of the at least one image corresponding to an image classification tag based on N predetermined image classification tags, N being an integer greater than or equal to 1; determining attribute information for each piece of to-be-selected music based on the at least one image and the at least one piece of to-be-selected music; determining target music that matches the at least one image among the at least one piece of to-be-selected music based on the analysis result and the attribute information of each piece of to-be-selected music.

    METHOD AND SYSTEM FOR A HIGH-FREQUENCY ATTENTION NETWORK FOR EFFICIENT SINGLE IMAGE SUPER-RESOLUTION

    公开(公告)号:US20230252605A1

    公开(公告)日:2023-08-10

    申请号:US17669072

    申请日:2022-02-10

    Applicant: Lemon Inc.

    Inventor: Ding LIU

    Abstract: Example aspects include techniques for implementing a high-frequency attention network for single image super-resolution. These techniques may include extracting a plurality of features from an original image input into a CNN to generate a feature map, and restoring one or more high-frequency details of the original image via an efficient residual block (ERB) and a high-frequency attention block (HFAB) configured to assign a scaling factor to one or more high-frequency areas. In addition, the techniques may include generating reconstruction input information by performing an element-wise operation on the one or more high-frequency details and cross-connection information from the feature map and performing, by the CNN, an enhancement operation on the reconstruction input information to generate an enhanced image.

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