2022
AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation
CVPR 2022poster
Powerful priors allow us to perform inference with insufficient information. In this paper, we propose an autoregressive prior for 3D shapes to solve multimodal 3D tasks such as shape completion, reconstruction, and generation. We model the distribution over 3D shapes as a non-sequential autoregress…