Abstract
We propose a novel method that aims to automatically generate outdoor building layouts based on given boundary constraints. It effectively solves the problem of irregular shapes that occur in practical application scenarios, where boundary and building outlines are not only composed of horizontal and vertical lines but also include oblique lines. The proposed method is a two-stage process that uses a Graph Neural Network (GNN) to generate the location of each building and the minimum external polygon. The GNN utilizes a pre-defined relative location diagram and the given boundary. Afterwards, the Generative Adversarial Network (GAN) is utilized to generate building outlines that fit the boundary within the minimum external polygon area. Our method has demonstrated the ability to effectively handle diverse and complex outdoor building layouts, as evidenced by its superior performance on the Huizhou traditional village dataset. Both qualitative and quantitative evaluations demonstrate that our method outperforms current GNN-based layout methods in terms of realism and diversity.
Supported by National Natural Science Foundation of China grant number 62277014 and Key Research and Development Project in Anhui Province of China grant number 2022f04020006.
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Wang, X., Li, L., He, L., Liu, X. (2024). An Irregularly Shaped Plane Layout Generation Method with Boundary Constraints. In: Hu, SM., Cai, Y., Rosin, P. (eds) Computer-Aided Design and Computer Graphics. CADGraphics 2023. Lecture Notes in Computer Science, vol 14250. Springer, Singapore. https://doi.org/10.1007/978-981-99-9666-7_6
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