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.

翻译：设计者越来越依赖程序生成来自动生成各种行业的内容。这些技术需要广泛了解理想的内容以及如何实际实施这种程序方法。从示例内容中学习可解释的变异模型的分类可以缓解两种困难。我们提出了SIGI,这是从基于网格的3D建筑示例中推断形状和引出形状语法的新方法。这种可解释的语法非常适合共同创作设计。在Minecraft 建筑中应用,我们展示了形状语法如何用来自动生成类似风格的新建筑。