Publication | IEEE International Conference on Computer Vision 2021
Building-GAN
Graph-Conditioned Architectural Volumetric Design Generation
This paper extends the traditional 2D layout generation to 3D volumetric design.
Download publicationAssociated Autodesk Researchers
Abstract
Building-GAN: Graph-Conditioned Architectural Volumetric Design Generation
Kai-Hung Chang, Chin-Yi Cheng, Jieliang Luo, Shingo Murata, Mehdi Nourbakhsh, Yoshito Tsuji
IEEE International Conference on Computer Vision (ICCV) 2021
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 no developed method for multi-story buildings. This paper focuses on volumetric design generation conditioned on an input program graph. Instead of outputting dense 3D voxels, we propose a new 3D representation named voxel graph that is both compact and expressive for building geometries. Our generator is a cross-modal graph neural network that uses a pointer mechanism to connect the input program graph and the output voxel graph, and the whole pipeline is trained using the adversarial framework. The generated designs are evaluated qualitatively by a user study and quantitatively using three metrics: quality, diversity, and connectivity accuracy. We show that our model generates realistic 3D volumetric designs and outperforms previous methods and baselines.
Related Resources
2023
Exploring Additive Manufacturing with Autodesk Research
Exploring the rapidly evolving world of additive manufacturing and how…
2017
An Investigation of Generative Design for Heating
Energy consumption in buildings contribute to 41% of global carbon…
2011
Robotic Origamis: Self-Morphing Modular Robots
Programmable matter is a material that produces distinctive shapes or…
2019
Towards an Ontology for Generative Design of Mechanical Assemblies
In software-based generative design, a user specifies goals expressed…
Get in touch
Something pique your interest? Get in touch if you’d like to learn more about Autodesk Research, our projects, people, and potential collaboration opportunities.
Contact us