SGP 2020 Technical Papers
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24 papers in 7 sessions, organized according to the official SGP 2020 program. Paper titles link to official publication metadata. Awards follow the official awards announcement.
Best Paper Best Student Paper Honorable Mention
Tuesday, July 7, 2020
Computational Geometry & Fabrication
- Half-Space Power Diagrams and Discrete Surface Offsets Zhen Chen, Daniele Panozzo, Jeremie Dumas
- Medial Axis Isoperimetric Profiles Paul Zhang, Daryl DeFord, Justin Solomon
- Fabricable 3D-QR-Codes with Directional Light Hao Peng, Peiqing Liu, Lin Lu, Andrei Sharf, Lin Liu, Dani Lischinski, Baoquan Chen
- Approximating Isosurfaces by Guaranteed-Quality Triangular Meshes Joel Hass, Maria Trnkova
Discrete Differential Geometry
- Interpolated Corrected Curvature Measures for Polygonal Surfaces Jacques-Olivier Lachaud, Pascal Romon, Boris Thibert, David Coeurjolly
- Laplace Operators for Tetrahedral MeshesBest Paper Marc Alexa, Philipp Herholz, Max Kohlbrenner, Olga Sorkine-Hornung
- A Discrete Laplacian for Non-Manifold TriangulationsBest Student Paper Nicholas Sharp, Keenan Crane
- A Simple Discretization of the Vector Dirichlet Energy Oded Stein, Max Wardetzky, Alec Jacobson, Eitan Grinspun
Deformation
- Sparse Data Driven Mesh Deformation Lin Gao, Yu-Kun Lai, Jie Yang, Ling-Xiao Zhang, Shihong Xia, Leif Kobbelt
- Interactive Sculpting of Digital Faces Using an Anatomical Modeling Paradigm Aurel Gruber, Marco Fratarcangeli, Gaspard Zoss, Roman Cattaneo, Thabo Beeler, Markus Gross, Derek Bradley
- A Parametric Analysis of Discrete Hamiltonian Functional Maps Emilian Postolache, Marco Fumero, Luca Cosmo, Emanuele Rodolà
- Nonlinear Deformation Synthesis via Sparse Principal Geodesic Analysis Josua Sassen, Klaus Hildebrandt, Martin Rumpf
Wednesday, July 8, 2020
Optimization
- Adaptive Block Coordinate Descent for Distortion Optimization Alexander Naitsat, Yufeng Zhu, Yehoshua Y. Zeevi
- EGGS: Sparsity-Specific Code GenerationHonorable Mention Xuan Tang, Teseo Schneider, Shoaib Kamil, Aurojit Panda, Jinyang Li, Daniele Panozzo
- Anderson Acceleration for Nonconvex ADMM Based on Douglas-Rachford Splitting Wenqing Ouyang, Yue Peng, Yuxin Yao, Juyong Zhang, Bailin Deng
Machine Learning & Shape Analysis