4 citations · 5 across the 6 of their papers we have counts for
6 papers · 1 filter
SZ Sequences: Binary-Based -Sequences
Abdalla G. M. Ahmed, Matt Pharr, Victor Ostromoukhov +1
Low-discrepancy sequences have seen widespread adoption in computer graphics thanks to their superior convergence rates. Since rendering integrals often comprise products of lower-…
Example-Based Sampling with Diffusion Models
Bastien Doignies, Nicolas Bonneel, David Coeurjolly +4
Much effort has been put into developing samplers with specific properties, such as producing blue noise, low-discrepancy, lattice or Poisson disk samples. These samplers can be sl…
Generator Matrices by Solving Integer Linear Programs
Loïs Paulin, David Coeurjolly, Nicolas Bonneel +3
In quasi-Monte Carlo methods, generating high-dimensional low discrepancy sequences by generator matrices is a popular and efficient approach. Historically, constructing or finding…
Blue-noise sampling for human retinal cone spatial distribution modeling
Matteo P. Lanaro, Hélène Perrier, David Coeurjolly +2
This paper proposes a novel method for modeling human retinal cone distribution. It is based on Blue-noise sampling algorithms that share interesting properties with the sampling p…
Variance Analysis for Monte Carlo Integration: A Representation-Theoretic Perspective
Michael Kazhdan, Gurprit Singh, Adrien Pilleboue +2
In this report, we revisit the work of Pilleboue et al. [2015], providing a representation-theoretic derivation of the closed-form expression for the expected value and variance in…
Polyomino-Based Digital Halftoning
David Vanderhaeghe, Victor Ostromoukhov
In this work, we present a new method for generating a threshold structure. This kind of structure can be advantageously used in various halftoning algorithms such as clustered-dot…