Download


ModelNet-C

# Description Size Number of Items Data Format Link
1 Full Set 1.1GB 36 .zip Google Drive

ShapeNet-C

# Description Size Number of Items Data Format Link
1 Full Set 1.1GB 36 .zip Google Drive

Dataset Structure

root
 └─── modelnet_c
         └───── add_global_0.h5
         └───── ...
         └───── add_local_0.h5
         └───── ...
         └───── dropout_global_0.h5
         └───── ...
         └───── dropout_local_0.h5
         └───── ...
         └───── jitter_0.h5
         └───── ...
         └───── rotate_0.h5
         └───── ...
         └───── scale_0.h5
         └───── ...
         └───── clean.h5
 └─── README.txt
root
 └─── shapenet_c
         └───── add_global_0.h5
         └───── ...
         └───── add_local_0.h5
         └───── ...
         └───── dropout_global_0.h5
         └───── ...
         └───── dropout_local_0.h5
         └───── ...
         └───── jitter_0.h5
         └───── ...
         └───── rotate_0.h5
         └───── ...
         └───── scale_0.h5
         └───── ...
         └───── clean.h5
 └─── README.txt

Benchmarking Toolkit

Please refer to our GitHub repository.

License

This benchmark is made freely available to academic and non-academic entities for non-commercial purposes such as academic research, teaching, scientific publications, or personal experimentation. Permission is granted to use the data given that you agree:

  1. That the benchmark comes “AS IS”, without express or implied warranty. Although every effort has been made to ensure accuracy, we do not accept any responsibility for errors or omissions.
  2. That you may not use the benchmark or any derivative work for commercial purposes as, for example, licensing or selling the data, or using the data with a purpose to procure a commercial gain.
  3. That you include a reference to PointCloud-C (including ModelNet-C, ShapeNet-C, and the specially generated data for academic challenges) in any work that makes use of the benchmark. For research papers, please cite our preferred publications as listed on our webpage.


Acknowledgement

We acknowledge the use of the following public resources, during the course of this work: ModelNet, ShapeNet, SimpleView, PCT, GDANet, CurveNet, PAConv, RSMix, and PointWOLF,