A generalized semantic representation for procedural generation of rooms

J. Timothy Balint, Rafael Bidarra

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Abstract

Procedural generation of rooms aims to create virtual environments that mimic common patterns found in real-world indoor locations, like offices or bedrooms. Graph-based models (e.g. factor graphs or Bayesian networks) have often been used to represent typical location's objects and their occurrence likelihood (nodes), as well as their inter-relationships (edges). Previous methods have struggled to represent object semantics in their graph nodes; specifically, they fail to fully and effectively support notions as abstractions (e.g. generic seat instead of chair) and replication (e.g. cups instead of cup). We propose a generalized representation and use for object semantics that overcomes the above limitations of graph-based models in the procedural generation of rooms. This node representation handles semantics as attributes, and clearly distinguishes the contribution of the attributes on the node from the potential effects of the node on the whole graph. We illustrate the additional expressive power of the resulting graph-based model for room generation, and show that it subsumes previous models as particular cases.

Original languageEnglish
Title of host publicationFDG'19s
Subtitle of host publicationProceedings of the 14th International Conference on the Foundations of Digital Games
EditorsFoaad Khosmood, Johanna Pirker, Thomas Apperley, Sebastian Deterding
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages1-8
Number of pages8
ISBN (Print)978-1-4503-7217-6
DOIs
Publication statusPublished - 2019
Event14th International Conference on the Foundations of Digital Games, FDG 2019 - San Luis Obispo, United States
Duration: 26 Aug 201930 Aug 2019

Conference

Conference14th International Conference on the Foundations of Digital Games, FDG 2019
CountryUnited States
CitySan Luis Obispo
Period26/08/1930/08/19

Keywords

  • 3D content generation
  • Data representation
  • Procedural content generation

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    Balint, J. T., & Bidarra, R. (2019). A generalized semantic representation for procedural generation of rooms. In F. Khosmood, J. Pirker, T. Apperley, & S. Deterding (Eds.), FDG'19s: Proceedings of the 14th International Conference on the Foundations of Digital Games (pp. 1-8). [85] Association for Computing Machinery (ACM). https://doi.org/10.1145/3337722.3341848