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Volume 34 Issue 3
May  2019
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Song-Hai Zhang, Shao-Kui Zhang, Yuan Liang, Peter Hall. A Survey of 3D Indoor Scene Synthesis[J]. Journal of Computer Science and Technology, 2019, 34(3): 594-608. DOI: 10.1007/s11390-019-1929-5
Citation: Song-Hai Zhang, Shao-Kui Zhang, Yuan Liang, Peter Hall. A Survey of 3D Indoor Scene Synthesis[J]. Journal of Computer Science and Technology, 2019, 34(3): 594-608. DOI: 10.1007/s11390-019-1929-5
shu

A Survey of 3D Indoor Scene Synthesis

  • 1 Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China;
    2 Beijing National Research Center for Information Science and Technology (BNRist), Beijing 100084, China;
    3 Department of Computer Science, University of Bath, Claverton Down, Bath, BA2 7AY, U.K.

Funds: 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.
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  • Author Bio:

    Song-Hai Zhang received his Ph.D. degree in computer science and technology from Tsinghua University, Beijing, in 2007. He is currently an associate professor in the Department of Computer Science and Technology at Tsinghua University, Beijing. His research interests include image/video analysis and processing as well as geometric computing.

  • Received Date: March 14, 2019
  • Revised Date: April 16, 2019
  • Published Date: May 04, 2019
    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.
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    • References (98)
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