Adaptive Graph Convolution for Point Cloud Analysis

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Deep LearningAdaptConv-master
Overview

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.

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

coming soon

Owner
GitHub Repository
ICLR2021 (Under Review)

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