Adaptive Graph Convolution for Point Cloud Analysis

Last update: Dec 21, 2022

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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

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Adaptive Graph Convolution for Point Cloud Analysis

Related tags

Overview

Adaptive Graph Convolution for Point Cloud Analysis

Installation

Classification

Part Segmentation

Indoor Segmentation

Owner

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