This repo of the research paper, Lossy Geometry Compression of 3D Point Cloud via an Adaptive Octree-guided Network. （ICME 2020 Oral)
1.Prerequisites:
python3.6+ Tensorflow1.13 with CUDA10.0
2.Downloading the dataset:
We use the ShapeNet in our experiments, which are available below:
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