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Design Transformations for Rule‐based Procedural Modeling
Author(s) -
Lienhard Stefan,
Lau Cheryl,
Müller Pascal,
Wonka Peter,
Pauly Mark
Publication year - 2017
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/cgf.13105
Subject(s) - computer science , transformation (genetics) , rule based machine translation , procedural modeling , variety (cybernetics) , theoretical computer science , grammar , programming language , algorithm , artificial intelligence , biochemistry , chemistry , linguistics , philosophy , gene
We introduce design transformations for rule‐based procedural models, e.g., for buildings and plants. Given two or more procedural designs, each specified by a grammar, a design transformation combines elements of the existing designs to generate new designs. We introduce two technical components to enable design transformations. First, we extend the concept of discrete rule switching to rule merging, leading to a very large shape space for combining procedural models. Second, we propose an algorithm to jointly derive two or more grammars, called grammar co‐derivation. We demonstrate two applications of our work: we show that our framework leads to a larger variety of models than previous work, and we show fine‐grained transformation sequences between two procedural models.