In this paper we describe sample elimination for generating Poisson disk sample sets with a
desired size. We introduce a greedy sample elimination algorithm that assigns a weight to …

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 …

In this article we survey techniques for the digital simulation of hand-made stippling—one of
the core techniques developed within non-photorealistic/expressive rendering. Over the …

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 …

We introduce three new families of stochastic algorithms to generate progressive 2D sample
point sequences. This opens a general framework that researchers and practitioners may …

We propose a new spectral analysis of the variance in Monte Carlo integration, expressed in
terms of the power spectra of the sampling pattern and the integrand involved. We build our …

We present a novel technique that produces two-dimensional low-discrepancy (LD) blue
noise point sets for sampling. Using one-dimensional binary van der Corput sequences, we …

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 …

Event cameras have provided new opportunities for tackling visual tasks under challenging
scenarios over conventional RGB cameras. However, not much focus has been given on …

We explore the space of matrix-generated (0, m, 2)-nets and (0, 2)-sequences in base 2,
also known as digital dyadic nets and sequences. In computer graphics, they are arguably …