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A Survey of 3D Indoor Scene Synthesis

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

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Journal of Computer Science and Technology
Pages 594-608

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Cite this article:
Zhang S-H, Zhang S-K, Liang Y, et al. A Survey of 3D Indoor Scene Synthesis. Journal of Computer Science and Technology, 2019, 34(3): 594-608. https://doi.org/10.1007/s11390-019-1929-5

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Received: 15 March 2019
Revised: 17 April 2019
Published: 10 May 2019
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