Reshuffle-based interior scene synthesis

Authors:
Hualiang Xie;Wenzhuo Xu;Bin Wang
Affiliations:
Tsinghua University, Beijing, P.R. China and Tsinghua National Laboratory for Information Science and Technology, Beijing, P.R. China;Tsinghua University, Beijing, P.R. China and Tsinghua National Laboratory for Information Science and Technology, Beijing, P.R. China;Tsinghua University, Beijing, P.R. China and Tsinghua National Laboratory for Information Science and Technology, Beijing, P.R. China
Venue:
Proceedings of the 12th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry
Year:
2013

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Abstract

We present a reshuffle-based approach for synthesizing interior scenes from only a small set of input scenes. Our system can analyze the input scenes to generate functionally plausible scene variations while for previous methods, the small input may not contain enough information. The novelty of our method comes from two phases: 1) a reshuffle method is applied to furniture objects for generating scenes; 2) the quality of the reshuffle can be assessed by comparing the distributions of the furniture. We demonstrate that even starting from a small set of scenes, it is still possible to produce a diverse set of non-trivial and functionally plausible scene variations.