Shape inference and grammar induction for example-based procedural generation

  • Authors: Gillis Hermans, Thomas Winters, Luc De Raedt
  • Publication Date: 2021-09-15
  • Publication Venue: Proceedings of the Twelfth International Conference on Computational Creativity
  • Abstract: Designers increasingly rely on procedural generation for automatic generation of content in various industries. These techniques require extensive knowledge of the desired content, and about how to actually implement such procedural methods. Algorithms for learning interpretable generative models from example content could alleviate both difficulties. We propose SIGI, a novel method for inferring shapes and inducing a shape grammar from grid-based 3D building examples. This interpretable grammar is well-suited for co-creative design. Applied to Minecraft buildings, we show how the shape grammar can be used to automatically generate new buildings in a similar style.
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APA

Hermans, G., Winters, T., & De Raedt, L. (2021). Shape inference and grammar induction for example-based procedural generation. Proceedings of the Twelfth International Conference on Computational Creativity, 342–349.

Harvard

Hermans, G., Winters, T. & De Raedt, L., 2021. Shape inference and grammar induction for example-based procedural generation. In Proceedings of the Twelfth International Conference on Computational Creativity. Association for Computational Creativity (ACC), pp. 342–349.

Vancouver

1.
Hermans G, Winters T, De Raedt L. Shape inference and grammar induction for example-based procedural generation. In: Proceedings of the Twelfth International Conference on Computational Creativity. Association for Computational Creativity (ACC); 2021. p. 342–9.

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