METHOD AND APPARATUS FOR MODELING BASED ON PARTICLES FOR EFFICIENT CONSTRAINTS PROCESSING
    5.
    发明申请
    METHOD AND APPARATUS FOR MODELING BASED ON PARTICLES FOR EFFICIENT CONSTRAINTS PROCESSING 审中-公开
    基于有效约束处理颗粒的建模方法与装置

    公开(公告)号:US20170024498A1

    公开(公告)日:2017-01-26

    申请号:US15187135

    申请日:2016-06-20

    Abstract: A modeling method based on particles, the method including generating coarse particles by down-sampling target particles corresponding to at least a portion of a target object, calculating a correcting value enabling the coarse particles to satisfy constraints of the target object based on physical attributes of the target particles, applying the correcting value to the target particles, and redefining the target particles in response to the target particles to which the correcting value is applied satisfying the constraints.

    Abstract translation: 一种基于粒子的建模方法,该方法包括:通过对与目标对象的至少一部分相对应的目标粒子进行下采样来生成粗粒子;计算使得粗粒子能够基于物理属性的物理属性来满足目标对象的约束的校正值 目标颗粒,将校正值应用于目标颗粒,并且响应于满足约束条件的施加了校正值的目标颗粒重新定义目标颗粒。

    OBJECT MODELING METHOD AND APPARATUS
    7.
    发明申请
    OBJECT MODELING METHOD AND APPARATUS 有权
    对象建模方法和装置

    公开(公告)号:US20160063140A1

    公开(公告)日:2016-03-03

    申请号:US14825755

    申请日:2015-08-13

    CPC classification number: G06F17/50 G06F17/10 G06F17/5009 G06F2217/16

    Abstract: Provided is a method and apparatus for modeling objects that may include detecting an adjacent area that shares modeled particles of a first object and modeled particles of a second object, calculating an action force between the first object and the second object in the adjacent area based on information stored for grid points of a grid defined with respect to the adjacent area, and modelling the first object and the second object based on the calculated action force.

    Abstract translation: 提供了一种用于建模对象的方法和装置,其可以包括检测共享第一对象的建模粒子和第二对象的建模粒子的相邻区域,基于相邻区域中的第一对象和第二对象之间的动作力,基于 为相对于相邻区域定义的网格的网格点存储的信息,以及基于所计算的动作力对第一对象和第二对象进行建模。

    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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