Make it Home: Automatic Optimization of Furniture Arrangement

Lap Fai Yu, Sai Kit Yeung, Demetri Terzopoulos, Stanley J. Osher, Chi Keung Tang, Tony F. Chan

Research output: Contribution to journalArticlepeer-review

128 Scopus citations


We present a system that automatically synthesizes indoor scenes realistically populated by a variety of furniture objects. Given examples of sensibly furnished indoor scenes, our system extracts, in advance, hierarchical and spatial relationships for various furniture objects, encoding them into priors associated with ergonomic factors, such as visibility and accessibility, which are assembled into a cost function whose optimization yields realistic furniture arrangements. To deal with the prohibitively large search space, the cost function is optimized by simulated annealing using a MetropolisHastings state search step. We demonstrate that our system can synthesize multiple realistic furniture arrangements and, through a perceptual study, investigate whether there is a significant difference in the perceived functionality of the automatically synthesized results relative to furniture arrangements produced by human designers.

Original languageEnglish (US)
Pages (from-to)1-12
Number of pages12
JournalACM transactions on graphics
Issue number4
StatePublished - Jul 1 2011
Externally publishedYes


  • Procedural modeling
  • interior design
  • interior generation
  • interior modeling
  • stochastic optimization
  • virtual reality

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design


Dive into the research topics of 'Make it Home: Automatic Optimization of Furniture Arrangement'. Together they form a unique fingerprint.

Cite this