Structural Design Recommendations in the Early Design Phase using Machine Learning

no code implementations • 19 Jul 2021 • Spyridon Ampanavos, Mehdi Nourbakhsh, Chin-Yi Cheng

In order to facilitate an informed exploration in the early design stage, we suggest the automation of fundamental structural engineering tasks and introduce ApproxiFramer, a Machine Learning-based system for the automatic generation of structural layouts from building plan sketches in real-time.

BIG-bench Machine Learning

Building-GAN: Graph-Conditioned Architectural Volumetric Design Generation

no code implementations • ICCV 2021 • Kai-Hung Chang, Chin-Yi Cheng, Jieliang Luo, Shingo Murata, Mehdi Nourbakhsh, Yoshito Tsuji

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.