Adaptive Graph Convolution for Point Cloud Analysis

This repository contains the implementation of AdaptConv for point cloud analysis.

Adaptive Graph Convolution (AdaptConv) is a point cloud convolution operator presented in our ICCV2021 paper. If you find our work useful in your research, please cite our paper.

preprint:

@article{zhou2021adaptive,
  title={Adaptive Graph Convolution for Point Cloud Analysis},
  author={Zhou, Haoran and Feng, Yidan and Fang, Mingsheng and Wei, Mingqiang and Qin, Jing and Lu, Tong},
  journal={arXiv preprint arXiv:2108.08035},
  year={2021}
}

Installation

The code has been tested on one configuration:
- PyTorch 1.1.0, CUDA 10.1
Install required packages:
- numpy
- h5py
- scikit-learn
- matplotlib

Classification

classification.md

Part Segmentation

part_segmentation.md

Indoor Segmentation

sem_segmentation.md

Updates