Synthetic 3D Data Generation Pipeline for Geometric Deep Learning in Architecture

1 code implementation • 26 Apr 2021 • Stanislava Fedorova, Alberto Tono, Meher Shashwat Nigam, Jiayao Zhang, Amirhossein Ahmadnia, Cecilia Bolognesi, Dominik L. Michels

The variety of annotations, the flexibility to customize the generated building and dataset parameters make this framework suitable for multiple deep learning tasks, including geometric deep learning that requires direct 3D supervision.

Synthetic Data Generation