Skip to content
master
Switch branches/tags
Code

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 

Efficient 3D Deep Learning

This repo contains our recent advances in efficient 3D point cloud understanding.

News

[2020-09] We release baseline training code for SPVCNNs and MinkowskiNets in SPVNAS repo, please have a look!

[2020-08] Please check out our ECCV 2020 tutorial on AutoML for Efficient 3D Deep Learning, which summarizes the methods released in this codebase. We also made the hands-on tutorial available in colab.

[2020-07] Our paper Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution is accepted to ECCV 2020.

[2020-03] Our work PVCNN is deployed on MIT Driverless racing cars, please check of this video.

[2019-12] We give the spotlight talk of PVCNN at NeurIPS 2019.

Projects

  • PVCNN: Point-Voxel CNN for Efficient 3D Deep Learning
  • SPVNAS: Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
  • TorchSparse: High-Performance Neural Network Library for Point Cloud Processing

About

Efficient 3D Deep Learning

Resources

Releases

No releases published

Packages

No packages published