A Benchmark for Gaussian Splatting Compression and Quality Assessment Study

Sample preparation

Download example from https://drive.google.com/file/d/1QYOBdPcS0M2YXMbV4G_N7-_kKy9htpaw/view?usp=sharing
unzip example.zip and move the folder to the same path of this project

Python environment

pip install arithmetic_compressor
pip install scipy
pip install matplotlib

Run script

check script "test_example.py"
set necessary file path and run

Result

you will find the following files after run the script:
xxx_geo.bin: bitrate for GS center
xxx_attr.bin: bitrate for GS attributes
xxx_rec.ply: reconstructed GS sample after compression
xxx.json: compression parameters
xxx_time.txt: compression time log

GSQA dataset

OneDrive：https://1drv.ms/f/c/3dbe3858aa085846/EjN7TaKq5QBNhgE83zV5plIB5RcFIUmlV0VCvzsXpFp8pQ?e=5aGyg8 Baidu Cloud Drive: https://pan.baidu.com/s/14zJyYmbj8pMlsPqnBMBuzQ password: 6njd