1 code implementation • IEEE TVCG 2018 • Julie Digne, Sébastien Valette, Raphaëlle Chaine
We propose a new shape analysis approach based on the non-local analysis of local shape variations.
1 code implementation • 24 Feb 2021 • Julien Lacombe, Julie Digne, Nicolas Courty, Nicolas Bonneel
Wasserstein barycenters -- the problem of finding measures in-between given input measures in the optimal transport sense -- is even more computationally demanding as it requires to solve an optimization problem involving optimal transport distances.
no code implementations • 2 Sep 2021 • Beatrix-Emőke Fülöp-Balogh, Eleanor Tursman, James Tompkin, Julie Digne, Nicolas Bonneel
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 scene from a new viewpoint.
1 code implementation • 16 Dec 2022 • Olivier Pradelle, Raphaelle Chaine, David Wendland, Julie Digne
In this paper, we show that image segmentation can benefit from 3D geometric information without requiring a 3D groundtruth, by training the geometric feature extraction and the 2D segmentation network jointly, in an end-to-end fashion, using only the 2D segmentation loss.
no code implementations • 10 Feb 2023 • Bastien Doignies, Nicolas Bonneel, David Coeurjolly, Julie Digne, Loïs Paulin, Jean-Claude Iehl, Victor Ostromoukhov
Much effort has been put into developing samplers with specific properties, such as producing blue noise, low-discrepancy, lattice or Poisson disk samples.
no code implementations • 16 Feb 2023 • Steeven Janny, Aurélien Béneteau, Madiha Nadri, Julie Digne, Nicolas Thome, Christian Wolf
To perform future forecasting of pressure and velocity on the challenging EAGLE dataset, we introduce a new mesh transformer.