Publications

Adaptive Grid Generation for Discretizing Implicit Complexes

SIGGRAPH 2024

Publication date: July 27, 2024

Yiwen Ju, Xingyi Du, Qingnan Zhou, Nathan Carr, Tao Ju

We present a method for generating a simplicial (e.g., triangular or tetrahedral) grid to enable adaptive discretization of implicit shapes defined by a vector function. Such shapes, which we call implicit complexes, are generalizations of implicit surfaces and useful for representing non-smooth and non-manifold structures. While adaptive grid generation has been extensively studied for polygonizing implicit surfaces, few methods are designed for implicit complexes. Our method can generate adaptive grids for several implicit complexes, including arrangements of implicit surfaces, CSG shapes, material interfaces, and curve networks. Importantly, our method adapts the grid to the geometry of not only the implicit surfaces but also their lower-dimensional intersections. We demonstrate how our method enables efficient and detail-preserving discretization of non-trivial implicit shapes.

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Research Area:  Adobe Research iconGraphics (2D & 3D)