Shape Grammar Learning
Shape Grammar Learning is a computational method for inferring generative rules from geometric examples, specifically distinguished by its focus on discovering hierarchical, parameterized shape rules that govern the spatial composition of two-dimensional forms.
22
Publications
1.8K
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59
Authors
40
Institutions
Publications per year
2017–2026
4
Parents
22
Shape Grammars and the Generative Specification of Painting and Sculpture
George Stiny, James Gips · 1971 · 696 citations
Shape grammar parsing via Reinforcement Learning
Olivier Teboul, Iasonas Kokkinos, Loïc Simon et al. · 2011 · 142 citations
Bayesian Grammar Learning for Inverse Procedural Modeling
Anđelo Martinović, Luc Van Gool · 2013 · 135 citations · Full text
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École Centrale Paris
Châtenay-Malabry, France
3 h-index
13 publications
1.1K citations
ETH Zurich
Zurich, Switzerland
2 h-index
2 publications
155 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
2 publications
99 citations
École nationale des ponts et chaussées
Champs-sur-Marne, France
2 h-index
2 publications
162 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
3 publications
212 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
5 publications
91 citations
Laboratoire d'Informatique Gaspard-Monge
Champs-sur-Marne, France
2 h-index
2 publications
162 citations
Center for MathematicaL studies and their Applications
Cachan, France
2 h-index
2 publications
99 citations
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2 publications · 136 citations
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2 publications · 37 citations
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AIEDAM · 2 publications · 86 citations
2
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TVCG · 1 publications · 37 citations
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1 publications · 85 citations
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