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M-StruGAN: An Automatic 2D-Plan Generation System under Mixed Structural Constraints for Homestays

Author

Listed:
  • Xiaoni Gao

    (Harbin Institute of Technology, Shenzhen 515100, China)

  • Xiangmin Guo

    (Harbin Institute of Technology, Shenzhen 515100, China)

  • Tiantian Lo

    (School of Design, Jockey Club Innovation Tower V1002e, The Hong Kong Polytechnic University, Hunghom 999077, Hong Kong)

Abstract

Existing methods for generating 2D plans based on intelligent systems usually require human-defined rules, and their operations are complex. GANs can solve these problems through independent research and learning. However, they only have generative design research based on a single constraint condition, and whether they can generate a qualified design scheme under many constraints is still unclear. Therefore, this paper develops the M-StruGAN generative model based on the structural design framework of a GAN. Its application research is extended to the 2D-plan layout generation of homestay based on the constraints of hybrid structures, and the feasibility of the method is comprehensively verified through three aspects: image synthesis quality assessment, scheme rationality assessment, and scheme design quality assessment. Experimental results show that the quality of the drawings generated by M-StruGAN is qualified, designers have a high degree of acceptance of the design results of M-StruGAN, and M-StruGAN completed the learning of the critical points of the 2D layout. Finally, through the human–computer interaction application of M-StruGAN, it can be found that compared with traditional design methods, M-StruGAN based on pix2pixHD has high-definition image quality, higher design efficiency, lower design cost, and more stable design quality.

Suggested Citation

  • Xiaoni Gao & Xiangmin Guo & Tiantian Lo, 2023. "M-StruGAN: An Automatic 2D-Plan Generation System under Mixed Structural Constraints for Homestays," Sustainability, MDPI, vol. 15(9), pages 1-19, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7126-:d:1131632
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    References listed on IDEAS

    as
    1. Haolan Liao & Rong Ren & Lu Li, 2023. "Existing Building Renovation: A Review of Barriers to Economic and Environmental Benefits," IJERPH, MDPI, vol. 20(5), pages 1-23, February.
    2. Da Wan & Runqi Zhao & Sheng Zhang & Hui Liu & Lian Guo & Pengbo Li & Lei Ding, 2023. "A Deep Learning-Based Approach to Generating Comprehensive Building Façades for Low-Rise Housing," Sustainability, MDPI, vol. 15(3), pages 1-15, January.
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