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| title: Vitruvio | |
| emoji: 🧠 | |
| colorFrom: yellow | |
| colorTo: indigo | |
| sdk: static | |
| pinned: false | |
| license: mit | |
| # Vitruvio | |
| This is the repository that contains source code for the [Vitruvio website](https://cdinstitute.github.io/Vitruvio/). | |
| If you find Vitruvio useful for your work please cite: | |
| ``` | |
| @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}, | |
| abstract = {} | |
| } | |
| ``` | |
| Paper ArXiv https://arxiv.org/abs/2210.13634 | |
| Paper Automation in Construction: https://www.sciencedirect.com/science/article/pii/S0926580524002346?dgcid=author | |