Solid Geometry Processing on Deconstructed Domains
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DOI: 10.1111/cgf.13592
Abstract: Many tasks in geometry processing are modelled as variational problems solved numerically using the finite element method. For solid shapes, this requires a volumetric discretization, such as a boundary conforming tetrahedral mesh. Unfortunately, tetrahedral meshing… read more here.
Keywords: geometry processing; solid geometry; deconstructed domains; geometry ... See more keywords
TinyAD: Automatic Differentiation in Geometry Processing Made Simple
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DOI: 10.1111/cgf.14607
Abstract: Non‐linear optimization is essential to many areas of geometry processing research. However, when experimenting with different problem formulations or when prototyping new algorithms, a major practical obstacle is the need to figure out derivatives of… read more here.
Keywords: geometry processing; tinyad; automatic differentiation; geometry ... See more keywords
Neural Geometry Processing via Spherical Neural Surfaces
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DOI: 10.1111/cgf.70021
Abstract: Neural surfaces (e.g., neural map encoding, deep implicit, and neural radiance fields) have recently gained popularity because of their generic structure (e.g., multi‐layer perceptron) and easy integration with modern learning‐based setups. Traditionally, we have a… read more here.
Keywords: neural surfaces; geometry processing; surface; spherical neural ... See more keywords