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Pytorch re-Implementation of Convolutional Occupancy networks

Python 10.47% Jupyter Notebook 80.76% C 2.46% Mako 1.14% Cython 1.57% C++ 3.60%

convolutional-occupancy-nets's Introduction

Pytorch re-Implementation of Convolutional Occupancy networks. Based on the paper:

Convolutional Occupancy Networks](https://arxiv.org/abs/2003.04618)\ Songyou Peng, Michael Niemeyer, Lars Mescheder, Marc Pollefeys, Andreas Geiger
arXiv:2003.04618

Experiments on extending Convolutional Occupancy networks to semantic implicit representations for semantic scene completion.

The complete resontructed results are in the in the recon_mesh.zip folder.The results for semantic reconstruction will be added in a few weeks. Sample meshes reconstructed can be seen below.

To-DO/WIP

  • Commit visualization for semantic meshes.
  • Finish experiments on Semantic-KITTI

Airplane

Airplane

Bag

Bag

Car

Cap

Chair

Car

Airplane

Chair

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