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

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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

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

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