The Latent Point Diffusion Model (LION) is a deep learning model that is trained to generate 3D shapes from point clouds. LION is designed as a variational autoencoder (VAE) with a hierarchical latent space that combines a global shape latent representation with a point-structured latent space.
Key features:
Developed by Xiaohui Zeng, Arash Vahdat, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler, Karsten Kreis, NVIDIA, University of Toronto and Vector Institute