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A Survey of 3D Indoor Scene Synthesis

Song Hai Zhang, Shao Kui Zhang, Yuan Liang, Peter Hall

Research output: Contribution to journalArticlepeer-review

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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

Funding

Survey Special Section of CVM 2019 This work was supported by the National Key Technology Research and Development Program under Grant No. 2017YFB1002604, the National Natural Science Foundation of China under Grant Nos. 61772298 and 61832016, the Research Grant of Beijing Higher Institution Engineering Research Center and Tsinghua-Tencent Joint Laboratory for Internet Innovation Technology. ©2019 Springer Science + Business Media, LLC & Science Press, China

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

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