Skip to content

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

142 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Reconstructing 3D Shapes from the ShapeNet Dataset using a Patch Vector Quantized Variational Autoencoder

This Repo is a PyTorch implementation of the PVQVAE from the paper "3DQD: Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process" by Wang et al.

Paper

Major differences and deviations from the paper are discussed in the poster below.

3D Reconstruction poster

About

PyTorch implementation of 3DQD with modifications (Deep Learning Lab - Uni Freiburg)

Topics

Resources

Stars

Watchers

Forks

Releases

Packages

Used by

Contributors

Languages