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Application of Style Transfer in the Vectorization Process of Floorplans (Short Paper)

Authors Seongyong Kim , Seula Park, Kiyun Yu

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Author Details

Seongyong Kim
  • Department of Civil and Environment Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 151-744, South Korea
Seula Park
  • Department of Civil and Environment Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 151-744, South Korea
Kiyun Yu
  • Department of Civil and Environment Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 151-744, South Korea

Funding

This research was supported by a grant (18NSIP-B135746-02) from the National Spatial Information Research Program (NSIP) funded by the Ministry of Land, Infrastructure and Transport of Korean government

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Seongyong Kim, Seula Park, and Kiyun Yu. Application of Style Transfer in the Vectorization Process of Floorplans (Short Paper). In 10th International Conference on Geographic Information Science (GIScience 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 114, pp. 39:1-39:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)
https://doi.org/10.4230/LIPIcs.GISCIENCE.2018.39

Abstract

As the market for indoor spatial information burgeons, the construction of indoor spatial databases consequently gain attention. Since floorplans are portable records of buildings, they are an indispensable source for the efficient construction of indoor environments. However, as previous research on floorplan information retrieval usually targeted specific formats, a system for constructing spatial information must include heuristic refinement steps. This study aims to convert diverse floorplans into an integrated format using the style transfer by deep networks. Our deep networks mimic a robust perception of human that recognize the cell structure of floorplans under various formats. The integrated format ensures that unified post-processing steps are required to the vectorization of floorplans. Through this process, indoor spatial information is constructed in a pragmatic way, using a plethora of architectural floorplans.

Subject Classification

ACM Subject Classification
  • Applied computing → Graphics recognition and interpretation
  • Computing methodologies → Scene understanding
Keywords
  • Floorplan
  • Vectorising
  • Style Transfer
  • Generative Adversarial Networks

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References

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