no code implementations • 1 Dec 2022 • Gimin Nam, Mariem Khlifi, Andrew Rodriguez, Alberto Tono, Linqi Zhou, Paul Guerrero
We propose a diffusion model for neural implicit representations of 3D shapes that operates in the latent space of an auto-decoder.
1 code implementation • 24 Oct 2022 • Alberto Tono, Heyaojing Huang, Ashwin Agrawal, Martin Fischer
If previous state-of-the-art (SOTA) data-driven methods for single view reconstruction (SVR) showed outstanding results in the reconstruction process from a single image or sketch, they lacked specific applications, analysis, and experiments in the AEC.
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.