93 citations · 151 across the 9 of their papers we have counts for
10 papers
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…
Code Replicability in Computer Graphics
Nicolas Bonneel, David Coeurjolly, Julie Digne +1
Being able to duplicate published research results is an important process of conducting research whether to build upon these findings or to compare with them. This process is call…
Ground Metric Learning on Graphs
Matthieu Heitz, Nicolas Bonneel, David Coeurjolly +2
Optimal transport (OT) distances between probability distributions are parameterized by the ground metric they use between observations. Their relevance for real-life applications…
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…
Digital Geometry, a Survey
Li Chen, David Coeurjolly
This paper provides an overview of modern digital geometry and topology through mathematical principles, algorithms, and measurements. It also covers recent developments in the app…
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-…
Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning
Morgan A. Schmitz, Matthieu Heitz, Nicolas Bonneel +5
This paper introduces a new nonlinear dictionary learning method for histograms in the probability simplex. The method leverages optimal transport theory, in the sense that our aim…
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…