MULTI-DIMENSIONAL IMAGE STYLIZATION USING TRANSFER LEARNING

    公开(公告)号:US20240273871A1

    公开(公告)日:2024-08-15

    申请号:US18168867

    申请日:2023-02-14

    Applicant: Lemon Inc.

    CPC classification number: G06V10/7715 G06V10/28 G06V10/454

    Abstract: A method for generating a multi-dimensional stylized image. The method includes providing input data into a latent space for a style conditioned multi-dimensional generator of a multi-dimensional generative model and generating the multi-dimensional stylized image from the input data by the style conditioned multi-dimensional generator. The method further includes synthesizing content for the multi-dimensional stylized image using a latent code and corresponding camera pose from the latent space to formulate an intermediate code to modulate synthesis convolution layers to generate feature images as multi-planar representations and synthesizing stylized feature images of the feature images for generating the multi-dimensional stylized image of the input data. The style conditioned multi-dimensional generator is tuned using a guided transfer learning process using a style prior generator.

    AVATAR GENERATION BASED ON DRIVING VIEWS
    3.
    发明公开

    公开(公告)号:US20240096041A1

    公开(公告)日:2024-03-21

    申请号:US17932645

    申请日:2022-09-15

    Abstract: Systems and methods are provided that include a processor executing an avatar generation program to obtain driving view(s), calculate a skeletal pose of the user, and generate a coarse human mesh based on a template mesh and the skeletal pose of the user. The program further constructs a texture map based on the driving view(s) and the coarse human mesh, extracts a plurality of image features from the texture map, the image features being aligned to a UV map, and constructs a UV positional map based on the coarse human mesh. The program further extracts a plurality of pose features from the UV positional map, the pose features being aligned to the UV map, generates a plurality of pose-image features based on the UV map-aligned image features and UV map-aligned pose features, and renders an avatar based on the plurality of pose-image features.

    Avatar generation based on driving views

    公开(公告)号:US12051168B2

    公开(公告)日:2024-07-30

    申请号:US17932645

    申请日:2022-09-15

    Abstract: Systems and methods are provided that include a processor executing an avatar generation program to obtain driving view(s), calculate a skeletal pose of the user, and generate a coarse human mesh based on a template mesh and the skeletal pose of the user. The program further constructs a texture map based on the driving view(s) and the coarse human mesh, extracts a plurality of image features from the texture map, the image features being aligned to a UV map, and constructs a UV positional map based on the coarse human mesh. The program further extracts a plurality of pose features from the UV positional map, the pose features being aligned to the UV map, generates a plurality of pose-image features based on the UV map-aligned image features and UV map-aligned pose features, and renders an avatar based on the plurality of pose-image features.

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