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Kai-Hung Chang

4 accepted papers

2021

Building-GAN: Graph-Conditioned Architectural Volumetric Design Generation

ICCV 2021poster

Volumetric design is the first and critical step for professional building design, where architects not only depict the rough 3D geometry of the building but also specify the programs to form a 2D layout on each floor. Though 2D layout generation for a single story has been widely studied, there is…

Cited by 62PDFScholar
2021

House-GAN++: Generative Adversarial Layout Refinement Network towards Intelligent Computational Agent for Professional Architects

CVPR 2021poster

This paper proposes a generative adversarial layout refinement network for automated floorplan generation. Our architecture is an integration of a graph-constrained relational GAN and a conditional GAN, where a previously generated layout becomes the next input constraint, enabling iterative refinem…

Cited by 212PDFcodeScholar
2020

House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation

ECCV 2020poster

This paper proposes a novel graph-constrained generative adversarial network, whose generator and discriminator are built upon relational architecture. The main idea is to encode the constraint into the graph structure of its relational networks. We have demonstrated the proposed architecture for a…

Cited by 359SourcePDFScholar