Sampling techniques are used in many fields, including design of experiments, image
processing, and graphics. The techniques in each field are designed to meet the constraints …

Among the various approaches for producing point distributions with blue noise spectrum,
we argue for an optimization framework using Gaussian kernels. We show that with a wise …

Polyhedral meshes are increasingly becoming an attractive option with particular
advantages over traditional meshes for certain applications. What has been missing is a …

We present a novel technique for diffusing Monte Carlo sampling error as a blue noise in
screen space. We show that automatic diffusion of sampling error can be achieved by …

We explore the space of (0, m, 2)-nets in base 2 commonly used for sampling. We present a
novel constructive algorithm that can exhaustively generate all nets---up to m-bit resolution …

Surrogate models (metamodels) are indispensable for numerical simulations over high-
dimensional spaces. They typically use well-selected samples of the expensive code runs to …

Designing point patterns with desired properties can require substantial effort, both in hand-
crafting coding and mathematical derivation. Retaining these properties in multiple …

Color design for 3D indoor scenes is a challenging problem due to many factors that need to
be balanced. Although learning from images is a commonly adopted strategy, this strategy …

Abstract The Voronoi Density Estimator (VDE) is an established density estimation
technique that adapts to the local geometry of data. However, its applicability has been so …

Ensemble simulation is a crucial method to handle potential uncertainty in modern
simulation and has been widely applied in many disciplines. Many ensemble contour …