45 citations · 95 across the 14 of their papers we have counts for
15 papers
The sublevel Flood bifiltration: towards scalable 2-parameter persistent homology
Mattéo Clémot, Julie Digne, Julien Tierny
Multiparameter persistent homology is a rapidly developing branch of topological data analysis that improves the robustness of single-parameter persistent homology to outliers, whi…
Delaunay-Rips filtration: a study and an algorithm
Mattéo Clémot, Julie Digne, Julien Tierny
The Delaunay-Rips filtration is a lighter and faster alternative to the well-known Rips filtration for low-dimensional Euclidean point clouds, making it a promising tool for topolo…
Topological Autoencoders++: Fast and Accurate Cycle-Aware Dimensionality Reduction
Mattéo Clémot, Julie Digne, Julien Tierny
This paper presents a novel topology-aware dimensionality reduction approach aiming at accurately visualizing the cyclic patterns present in high dimensional data. To that end, we…
Eagle: Large-Scale Learning of Turbulent Fluid Dynamics with Mesh Transformers
Steeven Janny, Aurélien Béneteau, Madiha Nadri +3
Estimating fluid dynamics is classically done through the simulation and integration of numerical models solving the Navier-Stokes equations, which is computationally complex and t…
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…
Lightweight integration of 3D features to improve 2D image segmentation
Olivier Pradelle, Raphaelle Chaine, David Wendland +1
Scene understanding has made tremendous progress over the past few years, as data acquisition systems are now providing an increasing amount of data of various modalities (point cl…
Symmetrized semi-discrete optimal transport
Agathe Herrou, Bruno Lévy, Vincent Nivoliers +2
Interpolating between measures supported by polygonal or polyhedral domains is a problem that has been recently addressed by the semi-discrete optimal transport framework. Within t…
Arbitrary order principal directions and how to compute them
Julie Digne, Sébastien Valette, Raphaëlle Chaine +1
Curvature principal directions on geometric surfaces are a ubiquitous concept of Geometry Processing techniques. However they only account for order 2 differential quantities, obli…
Dynamic Scene Novel View Synthesis via Deferred Spatio-temporal Consistency
Beatrix-Emőke Fülöp-Balogh, Eleanor Tursman, James Tompkin +2
Structure from motion (SfM) enables us to reconstruct a scene via casual capture from cameras at different viewpoints, and novel view synthesis (NVS) allows us to render a captured…
Baseline Skinning for Point Sets of Articulated Bodies
Tong Fu, Raphaëlle Chaine, Julie Digne
General skinning techniques aim to deform the surface of an articulated model following the pose change of a skeleton. Their rapidity makes them ideal tools for real-time animation…
Learning to Generate Wasserstein Barycenters
Julien Lacombe, Julie Digne, Nicolas Courty +1
Optimal transport is a notoriously difficult problem to solve numerically, with current approaches often remaining intractable for very large scale applications such as those encou…
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…
FAKIR: An algorithm for revealing the anatomy and pose of statues from raw point sets
Tong Fu, Raphaëlle Chaine, Julie Digne
3D acquisition of archaeological artefacts has become an essential part of cultural heritage research for preservation or restoration purpose. Statues, in particular, have been at…
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-…
Sparse Geometric Representation Through Local Shape Probing
Julie Digne, Sébastien Valette, Raphaëlle Chaine
We propose a new shape analysis approach based on the non-local analysis of local shape variations. Our method relies on a novel description of shape variations, called Local Probi…