Computer-generated residential building layouts

  • Authors:
  • Paul Merrell;Eric Schkufza;Vladlen Koltun

  • Affiliations:
  • Stanford University;Stanford University;Stanford University

  • Venue:
  • ACM SIGGRAPH Asia 2010 papers
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

We present a method for automated generation of building layouts for computer graphics applications. Our approach is motivated by the layout design process developed in architecture. Given a set of high-level requirements, an architectural program is synthesized using a Bayesian network trained on real-world data. The architectural program is realized in a set of floor plans, obtained through stochastic optimization. The floor plans are used to construct a complete three-dimensional building with internal structure. We demonstrate a variety of computer-generated buildings produced by the presented approach.