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
pip install arithmetic_compressor
pip install scipy
pip install matplotlib
check script "test_example.py"
set necessary file path and run
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
OneDrive：https://1drv.ms/f/c/3dbe3858aa085846/EjN7TaKq5QBNhgE83zV5plIB5RcFIUmlV0VCvzsXpFp8pQ?e=5aGyg8 Baidu Cloud Drive: https://pan.baidu.com/s/14zJyYmbj8pMlsPqnBMBuzQ password: 6njd
If you use our code and dataset, please cite our paper；
@inproceedings{yang2024GGSC, author = {Yang, Qi and Yang, Kaifa and Xing, Yuke and Xu, Yiling and Li, Zhu}, title = {A Benchmark for Gaussian Splatting Compression and Quality Assessment Study}, year = {2024}, isbn = {9798400712739}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {https://doi.org/10.1145/3696409.3700172}, doi = {10.1145/3696409.3700172}, booktitle = {Proceedings of the 6th ACM International Conference on Multimedia in Asia}, articleno = {12}, numpages = {8}, keywords = {3D Gaussian Splatting, Compression, Quality Assessment}, series = {MMAsia '24} }