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Conference paper
Journal article
Date
2026
2025
2024
2023
Survey on differential estimators for 3d point clouds
Recent advancements in 3D scanning technologies, including LiDAR and photogrammetry, have enabled the precise digital replication of …
Léo Arnal-Anger
,
Thibault Lejemble
,
David Coeurjolly
,
Loïc Barthe
,
Nicolas Mellado
PDF
PDF (lowres)
Website
Code (TBA)
Suplementary
HAL
BSP-OT: Sparse transport plans between discrete measures in loglinear time
To solve the optimal transport problem between two uniform discrete measures of the same size, one seeks a bijective assignment that …
Baptiste Genest
,
Nicolas Bonneel
,
Vincent Nivoliers
,
David Coeurjolly
PDF
DOI
PDF (lowres)
Supplementary
Code
Fast-forward video
🎫 Best Paper Award 🎫
Geometry of Gauss digitized convex shapes
3D illustration of notations and concepts, from left to right: input convex shape X, its digitization Xh := X∩hZd seen as a collection of cubes (visually equivalent to the h-boundary ∂hX), its digitized convex hull Yh := CvxH (Xh), the h-boundary ∂hX with the normals of the closest facet on Yh.
Jacques-Olivier Lachaud
,
David Coeurjolly
,
Tristan Roussillon
PDF
Cite
PDF (lowres)
Linear-Time Transport with Rectified Flows
Matching probability distributions allows to compare or interpolate them, or model their manifold. Optimal transport is a tool that …
Khoa Do
,
David Coeurjolly
,
Pooran Memari
,
Nicolas Bonneel
PDF
Code
Video
DOI
PDF (lowres)
Supplementary
2D Bijective Rigid Rotation: quantitative and qualitative study
Preserving surfaces or volumes is crucial when applying rigid transformations of 2D/3D digital objects in medical images and computer …
Stéphane Breuils
,
David Coeurjolly
,
Jacques-Olivier Lachaud
PDF
DOI
PDF (lowres)
Corrected Laplace-Beltrami operators for digital surfaces
Defining consistent calculus frameworks on discrete meshes is useful for processing the geometry of meshes or model numerical …
Colin Weill-Duflos
,
David Coeurjolly
,
Jacques-Olivier Lachaud
PDF
Cite
DOI
PDF (lowres)
A Lagrangian shape and topology optimization framework based on semi-discrete optimal transport
Charles Dapogny
,
Bruno Levy
,
Edouard Oudet
PDF
Cite
Neural Inpainting of Folded Fabrics with Interactive Editing
We propose a deep learning approach for inpainting holes in digital models of fabric surfaces. Leveraging the developable nature of …
Guillaume Gisbert
,
Raphaelle Chaine
,
David Coeurjolly
PDF
Cite
Code
Video
🎫 Honourable Best Paper Award 🎫
A methodology for the 3D characterization of surfaces using X-ray computed tomography: Application to additively manufactured parts
Many studies highlight the significance of three-dimensional surface topography characterization in assessing its effect on the …
Florian Steinhilber
,
Joel Lachambre
,
David Coeurjolly
,
Jean-Yves Buffiere
,
Guilhem Martin
,
Remy Dendievel
Cite
DOI
Non-Euclidean Sliced Optimal Transport Sampling
In machine learning and computer graphics, a fundamental task is the approximation of a probability density function through a …
Baptiste Genest
,
Nicolas Courty
,
David Coeurjolly
PDF
Cite
Code
HAL
arXiv
Digital Calculus Frameworks and Comparative Evaluation of their Laplace-Beltrami operators
Colin Weill-Duflos
,
David Coeurjolly
,
Jacques-Olivier Lachaud
PDF
Cite
Construction of Fast and Accurate 2D Bijective Rigid Transformation
Stéphane Breuils
,
David Coeurjolly
,
Jacques-Olivier Lachaud
PDF
Cite
Joint optimization of distortion and cut location for mesh parameterization using an Ambrosio-Tortorelli functional
UV mapping is a classical problem in computer graphics aiming at computing a planar parameterization of the input mesh with the lowest …
Colin Weill–Duflos
,
David Coeurjolly
,
Fernando de Goes
,
Jacques-Olivier Lachaud
PDF
Cite
Code
Inpainting Holes In Folded Fabric Meshes
When scanning real shapes, occlusion issues may lead to holes in the reconstructed surface which must be solved using an inpainting …
Guillaume Gisbert
,
Raphaelle Chaine
,
David Coeurjolly
PDF
Cite
Cite
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