Search Results for author: Julie Digne

Found 6 papers, 3 papers with code

Learning to Generate Wasserstein Barycenters

1 code implementation24 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.

Lightweight integration of 3D features to improve 2D image segmentation

1 code implementation16 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.

Image Segmentation Scene Understanding +2

Dynamic Scene Novel View Synthesis via Deferred Spatio-temporal Consistency

no code implementations2 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.

Novel View Synthesis

Example-Based Sampling with Diffusion Models

no code implementations10 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.

Image Generation

Eagle: Large-Scale Learning of Turbulent Fluid Dynamics with Mesh Transformers

no code implementations16 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.

Node Clustering

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