METHOD AND APPARATUS WITH FEATURE EMBEDDING

    公开(公告)号:US20220092802A1

    公开(公告)日:2022-03-24

    申请号:US17182580

    申请日:2021-02-23

    Abstract: A method and apparatus with feature embedding is provided. The method includes estimating a depth map for each of plural two-dimensional (2D) input images, transforming the depth maps into three-dimensional (3D) information in a point cloud form based on an aggregation of the depth maps, and generating an embedded feature by applying the 3D information to a machine learning model, where the embedded feature includes information about a 3D shape corresponding to a 2D object in the plural 2D input images.

    METHOD AND APPARATUS FOR ESTIMATING POSITION

    公开(公告)号:US20210264171A1

    公开(公告)日:2021-08-26

    申请号:US17316957

    申请日:2021-05-11

    Abstract: A method of estimating a position includes: determining a first rotation reference point based on localization information estimated for a target and map data; estimating a second rotation reference point from image data associated with a front view of the target; and correcting the localization information using a rotation parameter calculated based on the first rotation reference point and the second rotation reference point.

    METHOD AND APPARATUS WITH IMAGE PROCESSING AND RECONSTRUCTED IMAGE GENERATION

    公开(公告)号:US20220284663A1

    公开(公告)日:2022-09-08

    申请号:US17487240

    申请日:2021-09-28

    Abstract: A processor-implemented method includes: determining albedo data in a canonical space and depth data in the canonical space based on input image data including an object, using one or more neural network-based extraction models; generating deformed albedo data and deformed depth data by applying a target shape deformation value respectively to the albedo data and the depth data; generating resultant shaded data by performing shading based on the deformed depth data and a target illumination value; generating intermediate image data based on the resultant shaded data and the deformed albedo data; and generating reconstructed image data from the intermediate image data and the deformed depth data based on a target pose value.

    METHOD AND DEVICE FOR REPRESENTING RENDERED SCENES

    公开(公告)号:US20240054716A1

    公开(公告)日:2024-02-15

    申请号:US18096972

    申请日:2023-01-13

    CPC classification number: G06T15/08 G06N3/08 G06T15/06

    Abstract: Disclosed are a method and device for representing rendered scenes. A data processing method of training a neural network model includes obtaining spatial information of sampling data, obtaining one or more volume-rendering parameters by inputting the spatial information of the sampling data to the neural network model, obtaining a regularization term based on a distribution of the volume-rendering parameters, performing volume rendering based on the volume-rendering parameters, and training the neural network model to minimize a loss function determined based on the regularization term and based on a difference between a ground truth image and an image that is estimated according to the volume rendering.

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