Mesh Segmentation and Model Extraction. - Julie Digne; Jean-Michel Morel; Charyar-Mehdi Souzani; Claire Lartigue (Curves and Surfaces, 2010)

High Fidelity Scan Merging. - Julie Digne; Jean-Michel Morel; Nicolas Audfray; Claire Lartigue (Comput. Graph. Forum, 2010)

Inverse geometry : from the raw point cloud to the 3D Surface : theory and algorithms. (Géométrie inverse : du nuage de points brut à la surface 3D : théorie et algorithmes). - Julie Digne (2010)

Scale Space Meshing of Raw Data Point Sets. - Julie Digne; Jean-Michel Morel; Charyar-Mehdi Souzani; Claire Lartigue (Comput. Graph. Forum, 2011)

Farman Institute 3D Point Sets - High Precision 3D Data Sets. - Julie Digne; Nicolas Audfray; Claire Lartigue; Charyar-Mehdi Souzani; Jean-Michel Morel (Image Process. Line, 2011)

Similarity based filtering of point clouds. - Julie Digne (CVPR Workshops, 2012)

Self-similarity for accurate compression of point sampled surfaces. - Julie Digne; Raphaëlle Chaine; Sébastien Valette (Comput. Graph. Forum, 2014)

An Analysis and Implementation of a Parallel Ball Pivoting Algorithm. - Julie Digne (Image Process. Line, 2014)

Feature-Preserving Surface Reconstruction and Simplification from Defect-Laden Point Sets. - Julie Digne; David Cohen-Steiner; Pierre Alliez; Fernando de Goes; Mathieu Desbrun (J. Math. Imaging Vis., 2014)

Numerical analysis of differential operators on raw point clouds. - Julie Digne; Jean-Michel Morel (Numerische Mathematik, 2014)

An Implementation and Parallelization of the Scale Space Meshing Algorithm. - Julie Digne (Image Process. Line, 2015)

Neighborhood Filters and the Recovery of 3D Information. - Julie Digne; Mariella Dimiccoli; Neus Sabater; Philippe Salembier (Handbook of Mathematical Methods in Imaging, 2015)

Detecting and Correcting Shadows in Urban Point Clouds and Image Collections. - Maximilien Guislain; Julie Digne; Raphaëlle Chaine; D. Kudelski; P. Lefebvre-Albaret (3DV, 2016)

Sparse representation of terrains for procedural modeling. - Eric Guérin; Julie Digne; Eric Galin; Adrien Peytavie (Comput. Graph. Forum, 2016)

Fine scale image registration in large-scale urban LIDAR point sets. - Maximilien Guislain; Julie Digne; Raphaëlle Chaine; Gilles Monnier (Comput. Vis. Image Underst., 2017)

The Bilateral Filter for Point Clouds. - Julie Digne; Carlo de Franchis (Image Process. Line, 2017)

Interactive example-based terrain authoring with conditional generative adversarial networks. - Éric Guérin; Julie Digne; Eric Galin; Adrien Peytavie; Christian Wolf 001; Bedrich Benes; Benoît Martinez (ACM Trans. Graph., 2017)

Coherent multi-layer landscape synthesis. - Oscar Argudo; Carlos Andújar; Antonio Chica; Eric Guérin; Julie Digne; Adrien Peytavie; Eric Galin (Vis. Comput., 2017)

Contributions to local and non-local surface analysis. (Contributions à l'analyse locale et non-locale de surfaces). - Julie Digne (2018)

Correcting motion distortions in time-of-flight imaging. - Beatrix-Emoke Fülöp-Balogh; Nicolas Bonneel; Julie Digne (MIG, 2018)

Wavejets: A Local Frequency Framework for Shape Details Amplification. - Yohann Béarzi; Julie Digne; Raphaëlle Chaine (Comput. Graph. Forum, 2018)

Super-Resolution of Point Set Surfaces Using Local Similarities. - Azzouz Hamdi-Cherif; Julie Digne; Raphaëlle Chaine (Comput. Graph. Forum, 2018)

Sparse Geometric Representation Through Local Shape Probing. - Julie Digne; Sébastien Valette; Raphaëlle Chaine (IEEE Trans. Vis. Comput. Graph., 2018)

mpLBP: An Extension of the Local Binary Pattern to Surfaces based on an Efficient Coding of the Point Neighbours. - Elia Moscoso Thompson; Silvia Biasotti; Julie Digne; Raphaëlle Chaine (3DOR@Eurographics, 2019)

PC-MSDM: A quality metric for 3D point clouds. - Gabriel Meynet; Julie Digne; Guillaume Lavoué (QoMEX, 2019)

FAKIR : An algorithm for estimating the pose and elementary anatomy of archaeological statues. - Tong Fu; Raphaëlle Chaine; Julie Digne (CoRR, 2019)

PCQM: A Full-Reference Quality Metric for Colored 3D Point Clouds. - Gabriel Meynet; Yana Nehmé; Julie Digne; Guillaume Lavoué (QoMEX, 2020)

Anatomy Changes and Virtual Restoration of Statues. - Tong Fu; Raphaëlle Chaine; Julie Digne (GCH, 2020)

mpLBP: A point-based representation for surface pattern description. - Elia Moscoso Thompson; Silvia Biasotti; Julie Digne; Raphaëlle Chaine (Comput. Graph., 2020)

FAKIR: An algorithm for revealing the anatomy and pose of statues from raw point sets. - Tong Fu; Raphaëlle Chaine; Julie Digne (Comput. Graph. Forum, 2020)

Code replicability in computer graphics. - Nicolas Bonneel; David Coeurjolly; Julie Digne; Nicolas Mellado (ACM Trans. Graph., 2020)

Baseline Skinning for Point Sets of Articulated Bodies. - Tong Fu; Raphaëlle Chaine; Julie Digne (CoRR, 2021)

Arbitrary order principal directions and how to compute them. - Julie Digne; Sébastien Valette; Raphaëlle Chaine; Yohann Béarzi (CoRR, 2021)

Dynamic scene novel view synthesis via deferred spatio-temporal consistency. - Beatrix-Emoke Fülöp-Balogh; Eleanor Tursman; James Tompkin 001; Julie Digne; Nicolas Bonneel (Comput. Graph., 2022)

Gradient Terrain Authoring. - Eric Guérin; Adrien Peytavie; Simon Masnou; Julie Digne; Basile Sauvage; James Gain; Eric Galin (Comput. Graph. Forum, 2022)

Symmetrized semi-discrete optimal transport. - Agathe Herrou; Bruno Lévy 001; Vincent Nivoliers; Nicolas Bonneel; Julie Digne (CoRR, 2022)

EAGLE: Large-scale Learning of Turbulent Fluid Dynamics with Mesh Transformers. - Steeven Janny; Aurélien Béneteau; Madiha Nadri; Julie Digne; Nicolas Thome; Christian Wolf 001 (ICLR, 2023)

Example-Based Sampling with Diffusion Models. - Bastien Doignies; Nicolas Bonneel; David Coeurjolly; Julie Digne; Loïs Paulin; Jean-Claude Iehl; Victor Ostromoukhov (SIGGRAPH Asia, 2023)

Learning to Generate Wasserstein Barycenters. - Julien Lacombe; Julie Digne; Nicolas Courty; Nicolas Bonneel (J. Math. Imaging Vis., 2023)

A survey of Optimal Transport for Computer Graphics and Computer Vision. - Nicolas Bonneel; Julie Digne (Comput. Graph. Forum, 2023)

Neural skeleton: Implicit neural representation away from the surface. - Mattéo Clémot; Julie Digne (Comput. Graph., 2023)

Lightweight integration of 3D features to improve 2D image segmentation. - Olivier Pradelle; Raphaëlle Chaine; David Wendland; Julie Digne (Comput. Graph., 2023)

Space and time continuous physics simulation from partial observations. - Steeven Janny; Madiha Nadri; Julie Digne; Christian Wolf 001 (ICLR, 2024)

Differentiable Owen Scrambling. - Bastien Doignies; David Coeurjolly; Nicolas Bonneel; Julie Digne; Jean-Claude Iehl; Victor Ostromoukhov (ACM Trans. Graph., 2024)

SCONet: Convolutional Occupancy Networks for Multi-Organ Segmentation. - Maylis Jouvencel; Razmig Kéchichian; Julie Digne; Sébastien Valette (ISBI, 2025)

Topological Autoencoders++: Fast and Accurate Cycle-Aware Dimensionality Reduction. - Mattéo Clémot; Julie Digne; Julien Tierny (CoRR, 2025)