Introduction

This repo of the research paper, Lossy Geometry Compression of 3D Point Cloud via an Adaptive Octree-guided Network. （ICME 2020 Oral)

Abstract :

Guide:

1.Prerequisites:

python3.6+ Tensorflow1.13 with CUDA10.0

2.Downloading the dataset:

We use the ShapeNet in our experiments, which are available below:

Shapenet dataset

3.Build the compile command can be find in bash.sh, you should adjust it slightly to compile each operation

4.Train

cd src
python train.py

5.Compression/Decompression

python compress.py
python decompress.py