Synthetic data generation pipeline for geometric deep learning in architecture

S. Fedorova, A. Tono, M. S. Nigam, J. Zhang, A. Ahmadnia, C. Bolognesi, Dominik L. Michels

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Fingerprint

Dive into the research topics of 'Synthetic data generation pipeline for geometric deep learning in architecture'. Together they form a unique fingerprint.

Engineering

Computer Science

Biochemistry, Genetics and Molecular Biology

Material Science

Mathematics