A Survey of 3D Indoor Scene Synthesis

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

doi:10.1007/s11390-019-1929-5

A Survey of 3D Indoor Scene Synthesis

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

Research output: Contribution to journal › Article › peer-review

41 Citations (SciVal)

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 language	English
Pages (from-to)	594-608
Number of pages	15
Journal	Journal of Computer Science and Technology
Volume	34
Issue number	3
Early online date	10 May 2019
DOIs	https://doi.org/10.1007/s11390-019-1929-5
Publication status	Published - 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

Access to Document

10.1007/s11390-019-1929-5

Cite this

@article{070c97273bd147dcbcaadf6dc978502e,

title = "A Survey of 3D Indoor Scene Synthesis",

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.",

keywords = "content generation, indoor scene synthesis, layout arrangement, probabilistic model",

author = "Zhang, {Song Hai} and Zhang, {Shao Kui} and Yuan Liang and Peter Hall",

year = "2019",

month = may,

day = "31",

doi = "10.1007/s11390-019-1929-5",

language = "English",

volume = "34",

pages = "594--608",

journal = "Journal of Computer Science and Technology",

issn = "1000-9000",

publisher = "Springer New York",

number = "3",

}

TY - JOUR

T1 - A Survey of 3D Indoor Scene Synthesis

AU - Zhang, Song Hai

AU - Zhang, Shao Kui

AU - Liang, Yuan

AU - Hall, Peter

PY - 2019/5/31

Y1 - 2019/5/31

N2 - 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.

AB - 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.

KW - content generation

KW - indoor scene synthesis

KW - layout arrangement

KW - probabilistic model

UR - http://www.scopus.com/inward/record.url?scp=85066035597&partnerID=8YFLogxK

U2 - 10.1007/s11390-019-1929-5

DO - 10.1007/s11390-019-1929-5

M3 - Article

AN - SCOPUS:85066035597

SN - 1000-9000

VL - 34

SP - 594

EP - 608

JO - Journal of Computer Science and Technology

JF - Journal of Computer Science and Technology

IS - 3

ER -

A Survey of 3D Indoor Scene Synthesis

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA)

Cite this

A Survey of 3D Indoor Scene Synthesis

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Projects

Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA)

Cite this