no code implementations • ICCV 2021 • Dominic Roberts, Ara Danielyan, Hang Chu, Mani Golparvar-Fard, David Forsyth
Generative models for 3D shapes represented by hierarchies of parts can generate realistic and diverse sets of outputs.
no code implementations • 12 May 2020 • Saeid Asgari Taghanaki, Mohammad Havaei, Alex Lamb, Aditya Sanghi, Ara Danielyan, Tonya Custis
The latent variables learned by VAEs have seen considerable interest as an unsupervised way of extracting features, which can then be used for downstream tasks.
