93 citations · 151 across the 9 of their papers we have counts for
6 papers · 1 filter
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…
Mumford-Shah Mesh Processing using the Ambrosio-Tortorelli Functional
Nicolas Bonneel, David Coeurjolly, Pierre Gueth +1
The Mumford-Shah functional approximates a function by a piecewise smooth function. Its versatility makes it ideal for tasks such as image segmentation or restoration, and it is no…
Hatching for 3D prints: line-based halftoning for dual extrusion fused deposition modeling
Tim Kuipers, Willemijn Elkhuizen, Jouke Verlinden +1
This work presents a halftoning technique to manufacture 3D objects with the appearance of continuous grayscale imagery for Fused Deposition Modeling (FDM) printers. While droplet-…
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…