David Coeurjolly

Directeur de recherche

Biography

I am Directeur de Recherche CNRS at LIRIS in the Origami team. Director of the Groupement de Recherche (GdR) Informatique Géométrique et Graphique, Réalité Virtuelle et Visualisation. Co-lead of the PEPR ICCARE. General chair of the Graphics Replicability Stamp Initiative. Co-founder of the DGtal library. My main focus is digital geometry, geometry processing and point sampling for Monte Carlo rendering.

News:

Differentiable Owen Scrambling accepted @ ACM TOG / Siggraph Asia 2024, Dec-2024
SMI 2024 Honourable Best Paper Award for the Neural Inpainting of Folded Fabrics with Interactive Editing paper, Sept-2024
Quad-Optimized Low-Discrepancy Sequences @ Siggraph 2024 (conf track), May-2024
The NESOTS paper received the Günter Enderle Best Paper Award, Apr-2024
Non-Euclidean Sliced Optimal Transport Sampling @ EG 2024, Feb-2024
Served on the technical papers committee for SIGGRAPH 2024

[…]

Example-Based Sampling with Diffusion Models @ Siggraph Asia 2023, Dec-2023
Interpolated Corrected Curvature paper in CGAL (GSOC), Nov-2023
Lightweight Curvature Estimation on Point Clouds with Randomized Corrected Curvature Measures @ SGP 2023, Jul-2023

Interests

Discrete Geometry
Geometry Processing
Point sampling in Computer Graphics

Education

PhD in Computer Science, 2002

Université Lumière Lyon2, France
M.Sc. in Computer Science, 2000

École Normale Supérieure de Lyon, Université Claude Bernard Lyon 1, France
B.Sc. in Computer Science, 1999

École Normale Supérieure de Lyon, Université Claude Bernard Lyon 1, France

Recent Publications

All publications and Structured list (PDF)

Differentiable Owen Scrambling

Bastien Doignies, David Coeurjolly, Nicolas Bonneel, Julie Digne, Jean-Claude Iehl, Victor Ostromoukhov

ACM Transactions on Graphics, December, 2024

Delaunay property and proximity results of the L-algorithm for digital plane probing

Jui-Ting Lu, Tristan Roussillon, Jacques-Olivier Lachaud, David Coeurjolly

Theoretical Computer Science, October, 2024

Delaunay property and proximity results of the L-algorithm for digital plane probing

Quad-Optimized Low-Discrepancy Sequences

Victor Ostromoukhov, Nicolas Bonneel, David Coeurjolly, Jean-Claude Iehl

ACM SIGGRAPH (Conference track), July, 2024

Quad-Optimized Low-Discrepancy Sequences

Generator Matrices by Solving Integer Linear Programs

Loïs Paulin, David Coeurjolly, Nicolas Bonneel, Jean-Claude Iehl, Victor Ostromoukhov, Alexander Keller

Monte Carlo and Quasi-Monte Carlo Methods (MCQMC 2022), July, 2024

Generator Matrices by Solving Integer Linear Programs

Neural Inpainting of Folded Fabrics with Interactive Editing

Guillaume Gisbert, Raphaelle Chaine, David Coeurjolly

Computer & Graphics, July, 2024

Neural Inpainting of Folded Fabrics with Interactive Editing

A methodology for the 3D characterization of surfaces using X-ray computed tomography: Application to additively manufactured parts

Florian Steinhilber, Joel Lachambre, David Coeurjolly, Jean-Yves Buffiere, Guilhem Martin, Remy Dendievel

Additive Manufacturing, May, 2024

A methodology for the 3D characterization of surfaces using X-ray computed tomography: Application to additively manufactured parts

Non-Euclidean Sliced Optimal Transport Sampling

Baptiste Genest, Nicolas Courty, David Coeurjolly

Computer Graphics Forum (Proceedings of Eurographics), April, 2024

Non-Euclidean Sliced Optimal Transport Sampling

Construction of Fast and Accurate 2D Bijective Rigid Transformation

Stéphane Breuils, David Coeurjolly, Jacques-Olivier Lachaud

IAPR Third International Conference on Discrete Geometry and Mathematical Morphology, April, 2024

Digital Calculus Frameworks and Comparative Evaluation of their Laplace-Beltrami operators

Colin Weill-Duflos, David Coeurjolly, Jacques-Olivier Lachaud

IAPR Third International Conference on Discrete Geometry and Mathematical Morphology, April, 2024

Example-Based Sampling with Diffusion Models

Bastien Doignies, Nicolas Bonneel, David Coeurjolly, Julie Digne, Loïs Paulin, Jean-Claude Iehl, Victor Ostromoukhov

ACM SIGGRAPH Asia (Conference track), December, 2023

Example-Based Sampling with Diffusion Models

See all publications

Recent & Upcoming Talks

Introduction to Digital Geometry

Apr 15, 2024 — Apr 19, 2024 DGMM2024, Firenze, Italy

Digital Geometry

Oct 20, 2023 Conferences de rentrée, Département informatique, ENS Paris Saclay, Paris, France

DGtal Tutorial at DGMM2022

Oct 25, 2022 — Oct 26, 2022 DGMM2022, Strasbourg, France

Sep 16, 2022 — Sep 19, 2022 Journée GdR ISIS, Paris, France

Correlated Sampling in Monte Carlo Rendering

Digital Geometry

Jul 11, 2021 SGP 2021 Graduate School, Virtual

David Coeurjolly, Jacques-Olivier Lachaud

See all events

Projects

Feb 1, 2023

ANR SSLAM (2023-2027)

Scale-Space for Machine Learning on 3d Point Clouds (JCJC IRIT, Nicolas Mellado).

Dec 13, 2022

ANR StableProxies (2023-2027)

Stable Geometry Processing and High Performance Calculus on Heterogeneous Geometrical Data (LIRIS, LAMA, LJK, IRIT).

Mar 1, 2021

ANR MoCaMed (2021-2024)

Advanced Monte Carlo Methods for Medical Physics – MoCaMed (LaTIM, CREATIS, LIRIS).

Sep 1, 2018

ANR PARADIS (2018-2022)

PARameter-free Analysis of DIgital Surfaces (P.I: Tristan Roussillon)

Former Projects

ANR COMEDIC (2015-2021)

Dec 31, 2021

ANR ROOT (2016-2020)

Jan 1, 2016

ANR digitalSnow (2011-2016)

Sep 1, 2011

Code

Please refer to the project webpages for licensing and copyrights. More projects on my Github webpage. Some codes are also available with my publications.

Nov 18, 2024

Geometry Processing Cmake Recipes

This repository contains cmake/CPM recipes that I use to easily integrate geometry processing libraries and utilities to my c++ projects. When included in your CMakeLists.txt script, cmake will automatically download the deps and prepare the targets.

Jun 2, 2023