Scatterplots are widely used to visualize scatter dataset for exploring outliers, clusters, local
trends, and correlations. Depicting multi-class scattered points within a single scatterplot …

In this paper, we survey recent approaches to blue-noise sampling and discuss their
beneficial applications. We discuss the sampling algorithms that use points as sampling …

Surface remeshing is a key component in many geometry processing applications. The
typical goal consists in finding a mesh that is (1) geometrically faithful to the original …

This paper presents a novel technique for resampling point clouds of a smooth surface. The
key contribution of this paper is the generalization of centroidal Voronoi tessellation (CVT) to …

Interactions play a key role in understanding objects and scenes for both virtual and real-
world agents. We introduce a new general representation for proximal interactions among …

Global illumination is the core part of photo-realistic rendering. The photon map**
algorithm is an effective method for computing global illumination with its obvious advantage …

We describe a simple push-pull optimization (PPO) algorithm for blue-noise sampling by
enforcing spatial constraints on given point sets. Constraints can be a minimum distance …

We propose a multi-class point optimization formulation based on continuous Wasserstein
barycenters. Our formulation is designed to handle hundreds to thousands of optimization …

We propose a novel algorithm for blue noise sampling inspired by the Smoothed Particle
Hydrodynamics (SPH) method. SPH is a well-known method in fluid simulation--it computes …

Poisson-disk sampling is one of the fundamental research problems in computer graphics
that has many applications. In this paper, we study the problem of maximal Poisson-disk …