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GAGCN: Generative Adversarial Graph Convolutional Network for 3D Point Cloud Semantic Segmentation

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GAGCN

GAGCN: Generative Adversarial Graph Convolutional Network for 3D Point Cloud Semantic Segmentation

Key Contributions:

  1. Proposed GCN with adversarial learning scheme in 3D point cloud segmentation
  2. Utilized Embedding loss for adversarial learning
  3. Proposed an effective way for 3D point cloud convolution

Results

Instance Average IoU

PointNet++ DGCNN PointCNN KPConv Proposed witout Adv Proposed with Adv
85.1 85.2 86.1 86.4 86.2 86.9

Class Average IoU

PointNet++ DGCNN PointCNN KPConv Proposed witout Adv Proposed with Adv
80.4 82.3 84.6 85.1 84.1 85.9

Package Installation

This code has been tested on:
ubuntu
torch == 1.7.1
torch-geometric == 1.7.0
torch-cluster == 1.5.9
torch-scatter == 2.0.6
torch-sparse == 0.6.9
torch-spline-conv == 1.2.1
open3d == 0.9.0

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GAGCN: Generative Adversarial Graph Convolutional Network for 3D Point Cloud Semantic Segmentation

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