Des contributions françaises à SIGGRAPH 2026

La conférence SIGGRAPH 2026 a permis une mise en valeur de certaines contributions des laboratoires français. Sur la partie “Technical Papers” du programme, nous reprenons la liste des articles présentés à Los Angeles.

Notons également que deux articles : Uncertainty-aware geometry processing on Gaussian Process Implicit Surfaces (Baptiste Genest, David Coeurjolly) et Implicit Minimal Surfaces for Bijective Correspondences (Etienne Corman, Yousuf Soliman, Robin Magnet, Mark Gillespie) ont reçu un prix “Best Paper Award (Honorable Mention) lors de l’événement.

Enfin, l’article Convolutional Wasserstein Distances: Efficient Optimal Transportation on Geometric Domains SIGGRAPH 2015 (Justin Solomon, Fernando de Goes, Gabriel Peyré, Marco Cuturi, Adrian Butscher, Andy Nguyen, Tao Du, Leonidas Guibas) a quant à lui reçu un “Test-of-Time Award”.

N’hésitez pas à nous signaler tout oubli dans cette liste.

Efficient Multiscale Lanczos Eigenpair Extraction

Authors:

• Theo Braune — Centre National de la Recherche Scientifique - Laboratoire d’informatique de l’École Polytechnique (LIX); Adobe Research
• Jérémie Dumas — Adobe
• Jean-Marc Thiery — Adobe

Abstract: We extend the implicitly restarted Lanczos method to a multiscale context using arbitrary multigrids (algebraic, geometric) and we demonstrate the gain in performance and robustness on a variety of application scenarios.

Uncertainty-aware geometry processing on Gaussian Process Implicit Surfaces

Authors:

• Baptiste Genest — CNRS; LIRIS
• David Coeurjolly — CNRS; LIRIS

Abstract: We present a geometry processing framework enabling computations directly on probabilistic representations of shapes. In contrast to classical geometry processing pipelines our approach considers uncertainty in the input data and account for the distribution of plausible geometries, enabling a principled handling of noise and ambiguity for downstream geometry processing tasks.

AtomSlicer: Constant-Thickness Field-Aligned Non-Planar Slicing and Continuous Toolpaths for FFF

Authors:

• Giovanni Cocco — Université de Lorraine, CNRS, Inria, LORIA
• Vincent Belle — Université de Lorraine, CNRS, Inria, LORIA
• Eric Garner — Université de Lorraine, CNRS, Inria, LORIA
• Sylvain Lefebvre — Université de Lorraine, CNRS, Inria, LORIA
• Xavier Chermain — Université de Lorraine, CNRS, Inria, LORIA

Abstract: AtomSlicer is a 3D printing method for fused filament fabrication that generates non-planar layers and continuous toolpaths aligned with user-defined fields. It enables better control of layer orientation, constant thickness, and near-continuous deposition, helping improve print quality, reduce interruptions, and support advanced multi-axis fabrication.

SuperSDF:Sparse SDF Super-Resolution for Surface Extraction

Authors:

• Sagar Panwar — INRIA
• Nissim Maruani — INRIA
• Céline Loscos — L Research
• Mathieu Desbrun — INRIA
• Pierre Alliez — INRIA

Abstract: SuperSDF is a learning-based method for signed distance field super-resolution that reconstructs high-fidelity meshes from coarse inputs, without mesh supervision or auxiliary surface representations. Using a sparse voxel network near the surface, our approach learns how to directly refine the input SDF, outperforming prior methods in quality, efficiency, and scalability.

Mechanical Cloaking of Halftoned Imagery

Authors:

• Jonàs Martínez — Inria
• Brisard Sébastien — Aix Marseille Université
• Kostas Danas — LMS, CNRS, Ecole Polytechnique
• Eric Garner — Inria
• Sid Kumar — TU Delft
• Sylvain Lefebvre — Inria

Abstract: We explore a new direction in mechanical cloaking: halftoning an image using a porous structure that behaves like a linear, isotropic material and visually matches an image. For an external observer, this creates the surprising effect where the object appears mechanically homogeneous while its porous structure resembles a target image.

The PhaseTree: Multiphase Signed Distance Fields

Authors:

• Eric Galin — Université Claude Bernard Lyon 1; LIRIS
• Pierre Hubert-briere — Université Claude Bernard Lyon 1; LIRIS
• Marie-Paule Cani — Centre National de la Recherche Scientifique - Laboratoire d’informatique de l’École Polytechnique (LIX)
• Adrien Peytavie — Université Claude Bernard Lyon 1; LIRIS
• Eric Guérin — INSA, Lyon; LIRIS
• Hugo Schott — INSA, Lyon; LIRIS

Abstract: We introduce the PhaseTree, a novel hierarchical construction tree representation for compactly modeling objects composed of multiple phases or materials. An object is defined as a single tree that combines phase-aware primitives and operators, yielding a unified multiphase signed distance representation that naturally supports complex topologies and non-manifold interfaces.

Volume-Preserving LBM-MPM Coupling for Air-Water-Sand Mixtures

Authors:

• Xiaoyu Xiao — Shanghai Jiao Tong University
• Haoxiang Wang — Department of Automation, Tsinghua University
• Xiaokang Yang — Shanghai Jiao Tong University
• Mathieu Desbrun — INRIA; Ecole Polytechnique
• Wei Li — Shanghai Jiao Tong University

Abstract: We present a physically-based framework for simulating sand–water–air mixtures by coupling LBM fluids with MPM granular sand under a unified formulation. A water retention model with built-in volume conservation enables stable, realistic simulation of mixtures across diverse, multiscale scenarios.

Fast and Accurate Gaussian Process Modelling of Real-World Materials

Authors:

• Arnau Colom — Pompeu Fabra University Interactive Technologies Group (GTI); Pompeu Fabra University, Interactive Technologies Group (GTI)
• Christian Bouville — Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA)
• Julien Pettre — Institut National de Recherche en Informatique et en Automatique (INRIA) Rennes University, CNRS, IRISA
• Kadi Bouatouch — Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA)
• Ricardo Marques — Pompeu Fabra University Interactive Technologies Group (GTI)

Abstract: We propose a BRDF modeling method that provides accurate and compact representations for isotropic and anisotropic BRDFs. We propose new theoretical developments enabling tractable Gaussian Process BRDF regression, leading to analytical BRDF representations. State-of-the-art methods can be outperformed in most BRDF cases by using a small training set of observations.

Stochastic geomorphological transport for terrain erosion simulation

Authors:

• Nicholas McDonald — erosiv Studio GmbH
• Guillaume Cordonnier — Inria, Université Côte d’Azur

Abstract: Geomorphological transport is the long-distance transport of quantities which are key elements of terrain erosion. We propose a new stochastic algorithm for the efficient simulation of geomorphological transport with momentum conservation, which enables us, for the first time, to model dynamic emergent deltas, meanders and debris fans in eroded terrains.

NILE: Nested Interleaving of Low-Dimensional Elements

Authors:

• Abdalla Ahmed — Shenzhen University
• Matt Pharr — NVIDIA
• Victor Ostromoukhov — Université Claude Bernard Lyon 1; CNRS - LIRIS
• Hui Huang — Shenzhen University

Abstract: We introduce a novel modular modular meta-sampler architecture that bridges local subspace and global sampling, allowing integrator designers to employ specialized low-dimensional samplers while still achieving high-dimensional uniformity.

NeuralSketch2Surf: Fast Neural Surfacing of Unoriented 3D Sketches

Authors:

• Hongsheng Ye — LTCI - Telecom Paris; Institut Polytechnique de Paris
• Anandhu Sureshkumar — LTCI - Telecom Paris; Institut Polytechnique de Paris
• Zhonghan Wang — LTCI - Telecom Paris; Institut Polytechnique de Paris
• Stefanie Hahmann — University Grenoble Alpes, CNRS, INRIA, Grenoble INP, LJK
• Marie-Paule Cani — LIX-Ecole Polytechnique/CNRS; Institut Polytechnique de Paris
• Georges-Pierre Bonneau — University Grenoble Alpes, CNRS, INRIA, Grenoble INP, LJK
• Amal Dev Parakkat — LTCI - Telecom Paris; Institut Polytechnique de Paris

Abstract: We introduce NeuralSketch2Surf, the first fast and robust neural surfacing solution, capable of processing arbitrary unoriented sketches at interactive rates.

Explicit flows for implicit surfaces

Authors:

• Camille Buonomo — CNRS - LIRIS
• Julie Digne — CNRS; LIRIS
• Raphaëlle Chaine — CNRS - LIRIS

Abstract: Our paper presents a method for shape-morphing and deformation using an exact mathematical flow. We introduce a neural architecture guaranteed to encode a flow, leveraging implicit supervision of explicit flows, ensuring topological consistency and efficient forward/inverse computation without ODE solvers. Applications include shape-morphing, editing, and transitions via a reference shape.

Exact predicates, exact constructions and combinatorics for mesh CSG

Authors:

• Bruno Levy — Inria Saclay and Laboratoire de Mathématiques d’Orsay Université Paris Saclay; INRIA, Saclay; Centre Inria de Saclay

Abstract: This article introduces an algorithm that exactly constructs the so-called Weiler model (also called a 3D mesh arrangement) and that uses it to implement CSG with arbitrary multi-operand expressions. The main contribution is a 2D Constrained Delaunay Triangulation with exact coordinates and symbolic perturbations to disambiguate configurations with co-cyclic points.

Implicit Minimal Surfaces for Bijective Correspondences

Authors:

• Etienne Corman — CNRS, Inria, LORIA
• Yousuf Soliman — Side Effects Software Inc
• Robin Magnet — INRIA; Université Paris Cité
• Mark Gillespie — INRIA; University of Utah

Abstract: We introduce an implicit representation of continuous, bijective, orientation-preserving maps between genus zero surfaces with or without boundary. The distortion of these maps can easily be minimized by optimizing the Ginzburg-Landau functional—a ubiquitous model in physics and differential geometry—leading to a simple algorithm for computing bijective correspondences using only standard tools of the tangent vector field toolbox. The method avoids combinatorial mesh modifications and does not require barrier functions to enforce bijectivity making it more robust to noise and simpler to implement.