Procedural modeling of buildings

By Pascal Müller, Peter Wonka, Simon Haegler, Andreas Ulmer, Luc Van Gool. ACM Transactions on Graphics, 2006

1,306 citations recorded by the source corpus.

CGA shape, a novel shape grammar for the procedural modeling of CG architecture, produces building shells with high visual quality and geometric detail. It produces extensive architectural models for computer games and movies, at low cost. Context sensitive shape rules allow the user to specify interactions between the entities of the hierarchical shape descriptions. Selected examples demonstrate solutions to previously unsolved modeling problems, especially to consistent mass modeling with volumetric shapes of arbitrary orientation. CGA shape is shown to efficiently generate massive urban models with unprecedented level of detail, with the virtual rebuilding of the archaeological site of Pompeii as a case in point.

Subfields: Building and Construction, Computer Graphics and Computer-Aided Design, Geology

View Paper: https://www.semanticscholar.org/paper/a34bcf445fac503a9a4d731010005097b060a403

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In Building and Construction

In Computer Graphics and Computer-Aided Design

In Geology

Citations in the corpus

Search-Based Procedural Content Generation: A Taxonomy and Survey (2011, methodology): “For example, shape grammars have been invented that take advantage of the regularity of architectural feature to enable compact and artist-friendly representation of buildings [69], [70], as well as techniques for semiautomatically extracting the “building blocks” for use in such description from ar”
Scenic: a language for scenario specification and scene generation (2018, background): “Another approach is to give rules or a grammar specifying how the data can be generated, as in generative fuzz testing [43], procedural generation from shape grammars [32], and grammar-based scene synthesis [23].”
House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation (2020, background): “Procedural layout generation : Layout composition has been an active area of research in various domains, including architectural layouts [8,4,20,21], game-level design [9,18] and others.”
A Survey of Procedural Methods for Terrain Modelling (2009, background): “Müller et al. (2006) apply another type of grammar, named shape grammar.”
Applications of 3D City Models: State of the Art Review (2015, methodology): “Data used for these purposes are frequently procedurally generated [23,24,177].”
An improved LOD specification for 3D building models (2016, methodology): “…radar (Zhu and Shahzad, 2014), handheld devices (Rosser et al., 2015; Sirmacek and Lindenbergh, 2014), procedural modelling (Wonka et al., 2003; Müller et al., 2006; Kelly and Wonka, 2011; Müller Arisona et al., 2013; Tsiliakou et al., 2014; Smelik et al., 2014), conversion from BIM and…”
Data-driven interior plan generation for residential buildings (2019, background): “…2014; Yang et al. 2013], game level layouts [Hendrikx et al. 2013; Ma et al. 2014], architectural layouts [Bao et al. 2013; Harada et al. 1995; Müller et al. 2006], interior layouts [Feng et al. 2016; Merrell et al. 2010; Wu et al. 2018], indoor scenes [Fisher et al. 2012; Merrell et al.…”
Computer-generated residential building layouts (2010, methodology): “Shape grammars were subsequently applied to procedural generation of building façades [Müller et al. 2006].”
An update on automatic 3D building reconstruction (2010, positive): “Based on this work, Müller et al. (2006) therefore developed a system for the automatic generation of large scale city models.”
Reconstructing building interiors from images (2009, background): “While userassisted approaches have long proven effective for facade modeling [7] [16] [24] [19], an exciting new development is the emergence of fully-automated approaches for the reconstruction of urban outdoor environments both from groundlevel and aerial images [5] [17] [26].”
Procedural Modeling Using Autoencoder Networks (2015, methodology): “Procedural modeling (PM) allows complex phenomena and geometry to be created using a set of parametric, conditional or stochastic rules [31, 50, 29].”
3D all the way: Semantic segmentation of urban scenes from start to end in 3D (2015, background): “However, classification is performed mainly on 2D images, whereas 3D is introduced only at a procedural level [46, 41, 30].”