Symposium on
Geometry Processing 2019

Milan 8-10 July 2019


Monday 8 Tuesday 9 Wednesday 10
8:30 Registration
9:15 Opening session


New algorithms
for 3D shapes

Daniel Cremers


Deep learning
irregular data

Yaron Lipman


in nature

David Eppstein

10:30 Coffee break

Papers 1


Papers 4

& Learning

Papers 6

2D & 3D

12:30 Lunch

Papers 2


Papers 5


Papers 7

Shape Collection
& Analysis

15:30 Coffee break

Papers 3

& Deformation


Can machines
learn 3D shapes?

Hao (Richard) Zhang

Closing & Awards
17:30 Break
18:00 Posters
wine & cheese
social dinner

Technical Paper sessions

Shape Correspondences

Chair: Maks Ovsjanikov · École Polytechnique
  • Divergence-Free Shape Correspondence by Deformation Marvin Eisenberger, Zorah Laehner, Daniel Cremers Technische Universität München
  • Consistent Shape Matching via Coupled Optimization Omri Azencot, Anastasia Dubrovina, Leonidas Guibas Stanford University
  • Dense Point-to-Point Correspondences Between Genus-Zero Shapes Sing Chun Lee, Misha Kazhdan Johns Hopkins University

Functional Maps

Chair: Edward Chien · MIT
  • Structured Regularization of Functional Map Computations Jing Ren, Mikhail Panine, Peter Wonka, Maks Ovsjanikov KAUST École Polytechnique
  • Hierarchical Functional Maps between Subdivision Surfaces Meged Shoham‏, Amir Vaxman, Mirela Ben-Chen Technion IIT Utrecht University
  • Functional Maps Representation on Product Manifolds Emanuele Rodolà, Zorah Lähner, Alex M. Bronstein, Michael M. Bronstein, Justin Solomon Sapienza University · Rome TU Munich Technion IIT USI Lugano Imperial College London MIT

Modeling & Deformation

Chair: Amir Vaxman · Utrecht University
  • A Family of Barycentric Coordinates in Arbitrary Dimension Zhipei Yan, Scott Schaefer Texas A&M University
  • Wrinkles, Folds, Creases, Buckles: Small-Scale Surface Deformations as Periodic Functions on 3D Meshes Evgeny Zuenko, Matthias Harders University of Innsbruck
  • Structural Design Using Laplacian Shells Erva Ulu, Jim McCann, Levent Burak Kara Palo Alto Research Center Carnegie Mellon University

Synthesis & Learning

Chair: Olga Diamanti · Stanford University
  • A Convolutional Decoder for Point Clouds Isaak Lim, Moritz Ibing, Leif Kobbelt RWTH Aachen University
  • Point Pattern Synthesis via Irregular Convolution Peihan Tu, Dani Lischinski, Hui Huang Shenzhen University Hebrew University Jerusalem
  • Deep category-agnostic surface matching without supervision via cycle consistent deformation Thibault Groueix, Matthew Fisher, Vladimir Kim, Bryan Russel, Mathieu Aubry École des Ponts ParisTech Adobe Research

Shape Representations

Chair: Marcel Campen · Osnabrück University
  • Feature Preserving Hexahedral Meshing Xifeng Gao, Hanxiao Shen, Daniele Panozzo Florida State University New York University
  • Solid Geometry Processing on Deconstructed Domains Silvia Sellán, Herng Yi Cheng, Yuming Ma, Mitchell Dembowski, Alec Jacobson University of Oviedo MIT University of Toronto
  • High-quality refinable G-splines for locally quad-dominant meshes with T-gons Kestutis Karciauskas, Jörg Peters Vilnius University University of Florida

2D & 3D Reconstruction

Chair: Alec Jacobson · University of Toronto
  • Parallel Globally Consistent Normal Orientation of Raw Unorganized Point Clouds Johannes Jakob, Christoph Buchenau, Michael Guthe Universität Bayreuth
  • On evaluating consensus in RANSAC surface registration Lukáš Hruda, Jan Dvořák, Libor Váša University of West Bohemia
  • LSMAT Least Squares Medial Axis Transform Daniel Rebain, Baptiste Angles, Julien Valentin, Nicholas Vining, Jiju Peethambaran, Shahram Izadi, Andrea Tagliasacchi University of Victoria Google LLC University of Waterloo
  • Shape Collections & Analysis

    Chair: Emanuele Rodola · La Sapienza
    • Limit Shapes — A Tool for Understanding Shape Differences and Variability in 3D Model Collections Ruqi Huang, Panos Achlioptas, Leonidas Guibas, Maks Ovsjanikov École Polytechnique
    • Joint Graph Layouts for Visualizing Collections of Segmented Meshes Jing Ren, Jens Schneider, Maks Ovsjanikov, Peter Wonka KAUST École Polytechnique
    • Hamiltonian Operator for Spectral Shape Analysis Yoni Choukroun, Alon Shtern, Alex Bronstein, Ron Kimmel Technion IIT