Vitruvio: Conditional Variational Autoencoder to Generate Building Meshes via Single Perspective Sketches
Alberto Tono, Heyaojing Huang, Ashwin Agrawal, Martin Fischer.
Website | Code | Blog post | Stanford CIFE | Video | Slides | Paper
@article{TONO2024105498,
title = {Vitruvio: Conditional variational autoencoder to generate building meshes via single perspective sketches},
journal = {Automation in Construction},
volume = {166},
pages = {105498},
year = {2024},
issn = {0926-5805},
doi = {https://doi.org/10.1016/j.autcon.2024.105498},
url = {https://www.sciencedirect.com/science/article/pii/S0926580524002346},
author = {Alberto Tono and Heyaojing Huang and Ashwin Agrawal and Martin Fischer},
keywords = {Artificial intelligence, Neural-aided design, Deep generative design, Deep generative modeling, Conditional variational autoencoder, Sketch-based modeling},}
A. Tono, BIMHOX: The Evolutionary Information Gene, Autodesk University, Las Vegas, 2018
A. Zani, A. Tono, S. Schiavon, et al. Annual Radiation Discomfort: A new climate-based framework for modeling short-wave solar radiation in indoor spaces, IBPSA, Rome, 2019
A. Zani, A. Tono, S. Schiavon et al. , A Simulation-Based Design Analysis for the Assessment of Indoor Comfort Under the Effect of Solar Radiation, Simaud, Atlanta, 2019
A. Tono, A. Zani, H. Tono, "Encoded Memory: Artificial Intelligence and Deep Learning in Architecture." Impact of Industry 4.0 on Architecture and Cultural Heritage, edited by Cecilia Maria Bolognesi and Cettina Santagati, IGI Global, 2020, pp. 283-305. https://doi-org.stanford.idm.oclc.org/10.4018/978-1-7998-1234-0.ch012 [Bibtex]
Revit 2020 for Architecture: No Experience Required, Wiley, 2020
A. Tono, M. S. Nigam, S. Fedorova, et al. , Limitations and Review of Geometric Deep Learning Algorithms for Monocular 3D Reconstruction in Architecture, 2020 doi.org/10.3280/oa-686.68 [Bibtex]
S. Fedorova, A. Tono, M. S. Nigam, et al. , Synthetic 3D Data Generation Pipeline for Geometric Deep Learning in Architecture, 2021 10.5194/isprs-archives-XLIII-B2-2021-337-2021 [Bibtex]
S. Hachisuka, A. Tono, M. Fisher, Harbingers of NeRF-to-BIM: a case study of semantic segmentation on building structure with neural radiance fields, EC3, video, 2023
H. Huang, C Brosque, A. Tono, A. Agrawal, M. Fischer, Exploring a Design for Robotic Construction approach: two case studies matching robot and construction design features, 2023.
G. Nam, M. Khlifi, A. Rodriguez, A. Tono, L. Zhou, P. Guerrero, 3D-LDM: Neural Implicit 3D Shape Generation with Latent Diffusion Models, 2022 [Bibtex]
A. Tono, H. Huang, A. Agrawal, M. Fischer, Vitruvio: Conditional Variational Autoencoder to Generate Building Meshes via Single Perspective Sketches, Automation in Construction, submitted in 2022, published in 2024. [Bibtext]
N. Koprucu, M. Nigam, S. Xu, B. Abere, G. Dominici, A. Rodriguez, S. Vadgama, B. Inal, A. Tono, DC3DO: Diffusion Classifier for 3D Objects, 2024.