Encoding Architectural Designs as Iso-surface Tilesets for Participatory Sculpting of Massing Models

Savov, Anton; Winkler, Roger; Tessmann, Oliver

doi:10.1007/978-3-030-29829-6_16

Cited by 3 publications

(1 citation statement)

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“…To address these issues, researchers have explored combinatorial design with tilesets, which allow encoding of architectural meaning and easier user interaction with generative design systems (Merrell, 2007;Savov et al, 2023Savov et al, , 2020Villaggi et al, 2023). However, most existing research on tilesets only focuses on finding designs, i.e., good combinations, rather than fine-tuning the tileset itself.…”

Section: Introductionmentioning

confidence: 99%

A Framework for the Design and Evaluation of Architectural Tilesets

Zhao,

Savov,

Zhang

et al. 2023

eCAADe Proceedings

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Generative design, increasingly prevalent in architecture, enables design exploration and enhanced productivity compared to traditional methods. Researchers have investigated combinatorial design using tilesets, which encode architectural meaning and promote user-friendly interactions. However, most research focuses on discovering designs rather than fine-tuning tilesets. We propose a tile-based method that introduces metrics for evaluating generated layouts and tileset design space, addressing the research gap and facilitating practical applications. The design space evaluation feedback aids architects in customizing tilesets according to their objectives by exploring the impact of tile topology and rule changes. Our framework, illustrated through double-floor single-family house tilesets using the Wave Function Collapse algorithm, generates 3D designs and 2D layouts, enables minimal-specification diverse tilesets, and demonstrates fine-tuning to avoid grid-like monotonicity, a common limitation of tile-based generative design methods.

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Section: Introductionmentioning

confidence: 99%