Abstract

Indoor scene synthesis has become a popular topic in recent years. Synthesizing functional and plausible indoor scenes is an inherently difficult task since it requires considerable knowledge to both choose reasonable object categories and arrange objects appropriately. In this survey, we propose four criteria which group a wide range of 3D (three-dimensional) indoor scene synthesis techniques according to various aspects (specifically, four groups of categories). It also provides hints, through comprehensively comparing all the techniques to demonstrate their effectiveness and drawbacks, and discussions of potential remaining problems.

Original languageEnglish
Pages (from-to)594-608
Number of pages15
JournalJournal of Computer Science and Technology
Volume34
Issue number3
Early online date10 May 2019
DOIs
Publication statusPublished - 31 May 2019

Keywords

  • content generation
  • indoor scene synthesis
  • layout arrangement
  • probabilistic model

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Hardware and Architecture
  • Computer Science Applications
  • Computational Theory and Mathematics

Cite this

A Survey of 3D Indoor Scene Synthesis. / Zhang, Song Hai; Zhang, Shao Kui; Liang, Yuan; Hall, Peter.

In: Journal of Computer Science and Technology, Vol. 34, No. 3, 31.05.2019, p. 594-608.

Research output: Contribution to journalArticle

Zhang, Song Hai ; Zhang, Shao Kui ; Liang, Yuan ; Hall, Peter. / A Survey of 3D Indoor Scene Synthesis. In: Journal of Computer Science and Technology. 2019 ; Vol. 34, No. 3. pp. 594-608.
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