METHOD AND APPARATUS FOR MODELING AND RESTORING TARGET OBJECT USING PRE-COMPUTATION
    2.
    发明申请
    METHOD AND APPARATUS FOR MODELING AND RESTORING TARGET OBJECT USING PRE-COMPUTATION 审中-公开
    使用预先计算建模和恢复目标对象的方法和装置

    公开(公告)号:US20170024492A1

    公开(公告)日:2017-01-26

    申请号:US15178914

    申请日:2016-06-10

    IPC分类号: G06F17/50 G06T17/10

    摘要: Provided is a method and apparatus for modeling and restoring a target object, the method including generating a key structure of the target object based on deformation information of the target object extracted from a pre-modeling result based on a shape and a material property of the target object, and calculating a virtual material property corresponding to the key structure based on the virtual material property and the key structure of the target object.

    摘要翻译: 提供了一种用于建模和恢复目标对象的方法和装置,所述方法包括基于从预建模结果提取的目标对象的变形信息,基于所述目标对象的形状和材料属性来生成目标对象的关键结构 目标对象,并且基于目标对象的虚拟材料属性和键结构来计算与该键结构相对应的虚拟材料属性。

    METHOD AND APPARATUS TO MODEL OBJECTS INCLUDING PARTICLES
    3.
    发明申请
    METHOD AND APPARATUS TO MODEL OBJECTS INCLUDING PARTICLES 审中-公开
    包括颗粒在内的模型对象的方法和装置

    公开(公告)号:US20160140266A1

    公开(公告)日:2016-05-19

    申请号:US14940740

    申请日:2015-11-13

    IPC分类号: G06F17/50

    CPC分类号: G06F17/5009 G06F2217/16

    摘要: A method and corresponding apparatus to model objects includes detecting an overlapping area between first and second objects each comprising particles. The method and corresponding apparatus also calculate, in the overlapping area, an action force between the first and the second objects. The method and corresponding apparatus model the first object and the second object based on the action force.

    摘要翻译: 用于建模对象的方法和相应装置包括检测每个包括粒子的第一和第二对象之间的重叠区域。 该方法和相应装置还在重叠区域中计算第一和第二对象之间的作用力。 该方法和相应的装置基于动作力来模拟第一对象和第二对象。

    DEVICE AND METHOD WITH INCREASING RESOLUTION OF FRAME IN G-BUFFER DOMAIN

    公开(公告)号:US20240249383A1

    公开(公告)日:2024-07-25

    申请号:US18351963

    申请日:2023-07-13

    IPC分类号: G06T3/40 G06T3/00

    摘要: A method includes: inserting new pixels between original pixels for each of maps included in a first geometry buffer (or G-buffer) generated from a frame, wherein the maps represent geometric information of a three-dimensional (3D) model of an object included in the frame; generating a second G-buffer by setting values of the new pixels using a motion vector map that may be one of the maps; generating a third G-buffer by combining, with the second G-buffer, a result of updating only values of pixels masked based on an output of a pixel masking neural network to which the second G-buffer may be input; generating a fourth G-buffer by updating values of pixels by inputting the third G-buffer to a G-buffer reconstruction neural network; and update, based on the fourth G-buffer, the resolution of a subsequent frame that follows the frame.