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SUBDIVIDING A THREE-DIMENSIONAL MESH UTILIZING A NEURAL NETWORK

机译:利用神经网络细分三维网格

摘要

Methods, systems, and non-transitory computer readable storage media are disclosed for utilizing one or more neural networks to recursively subdivide a three-dimensional mesh according to local geometries of vertices in the three-dimensional mesh. For example, the disclosed system can determine a local geometry (e.g., a one-ring neighborhood of half-flaps) for each vertex in a three-dimensional mesh. For each subdivision iteration, the disclosed system can then utilize a neural network to determine displacement coordinates for existing vertices in the three-dimensional mesh and coordinates for new vertices added to edges between the existing vertices in the three-dimensional mesh in accordance with the local geometries of the existing vertices. Furthermore, the disclosed system can generate a subdivided three-dimensional mesh based on the determined displacement coordinates for the existing vertices and the determined coordinates for the new vertices.
机译:公开了用于利用一个或多个神经网络在三维网格中使用一个或多个神经网络以递归地细分三维网格的方法,系统和非暂时性计算机可读存储介质。 例如,所公开的系统可以针对三维网格中的每个顶点确定局部几何形状(例如,半翼形的一个环形邻域)。 对于每个细分迭代,所公开的系统可以利用神经网络来确定三维网格中的现有顶点的位移坐标,并且根据本地,用于添加到三维网格中的现有顶点之间的边缘之间的新顶点的坐标。 现有顶点的几何图。 此外,所公开的系统可以基于所确定的顶点的所确定的位移坐标和新顶点的所确定的坐标生成细分的三维网状。

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