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In Proceedings of FDG

A generalized semantic representation for procedural generation of rooms

J. Timothy Balint and Rafael Bidarra

Examples of generated bedrooms from content chunks reduced from the motifs of Kermani et al. and SceneSeer. Note that more objects are generated using SceneSeer’s generation method (independently of the motif method). Furthermore, more sets are stored in the motif method of SceneSeer than of Kermani et al..

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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.

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Citation

J. Timothy Balint and Rafael Bidarra, A generalized semantic representation for procedural generation of rooms, In Proceedings of FDG, pp. 85:1–85:8, 2019.

BibTex 

@inproceedings{bib:balint:2019,
    author       = { Balint, J. Timothy and Bidarra, Rafael },    
    title        = { A generalized semantic representation for procedural generation of rooms },
    booktitle    = { In Proceedings of FDG },
    year         = { 2019 },
    pages        = { 85:1--85:8 },
    doi          = { 10.1145/3337722.3341848 },
    dblp         = { conf/fdg/BalintB19 },
    url          = { https://publications.graphics.tudelft.nl/papers/99 },
}