Procedural modeling of cities

By Yoav I. H. Parish, Pascal Müller. International Conference on Computer Graphics and Interactive Techniques, 2001

1,207 citations recorded by the source corpus.

Subfields: Building and Construction, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/95c8a50d378638302c88baa0ad3472ee2c2306e4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Building and Construction

1. Peter Wonka
2. Luc Van Gool
3. Pascal Müller
4. Sergey I. Nikolenko
5. Levent Burak Kara
6. Mehmet Ersin Yümer
7. Paul Asente
8. Radomír Mech

In Computer Graphics and Computer-Aided Design

1. Sergey I. Nikolenko
2. Peter Wonka
3. Luc Van Gool
4. Rafael Bidarra
5. Ruben Michaël Smelik
6. Tim Tutenel
7. Mehmet Ersin Yümer
8. Levent Burak Kara

In Computer Vision and Pattern Recognition

1. Sergey I. Nikolenko
2. Peter Wonka
3. Gang Zeng
4. Luc Van Gool
5. Radomír Mech
6. Mehmet Ersin Yümer
7. Chen Change Loy
8. Rafael Bidarra

Citations in the corpus

• Interactive procedural street modeling (2008, methodology): “A powerful solution to large-scale urban modeling is the use of procedural techniques [Parish and Müller 2001; Wonka et al. 2003; Müller et al. 2006].”
• Image-based procedural modeling of facades (2007, methodology): “Therefore, recent techniques in computer graphics are interested in efficient large-scale modeling [Parish and Müller 2001; Müller et al. 2006], but these techniques do not allow to establish a very close resemblance to a real environment.”
• 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].”
• ProcSy: Procedural Synthetic Dataset Generation Towards Influence Factor Studies Of Semantic Segmentation Networks (2019, background): “published seminal work towards automatic procedural modeling of cities [18].”
• Instant architecture (2003, methodology): “In the context of design grammars, L-systems have achieved impressive results, especially in the area of plant modeling [M (cid:255) ech and Prusinkiewicz 1996; Prusinkiewicz and Lindenmayer 1991; Prusinkiewicz et al. 1994] and recently in the area of street modeling [Parish and M¤uller 2001].”
• Synthetic Data for Deep Learning (2019, methodology): “They base this procedural generation on the method of Parish and Müller [438], which is in turn based on the notion of Lindenmayer systems (L-systems) [463] and embodied in the CityEngine tool [656] (see Section 3.”
• A Survey of Procedural Methods for Terrain Modelling (2009, methodology): “1e) shows a tree created with their commercial plant modelling software XFrog.”