Learning Convolutional Transforms for Point Cloud Geometry Compression: Supplementary Material

Overview

This repository is supplementary material for the paper "Learning Convolutional Transforms for Lossy Point Cloud Geometry Compression". It includes a comparison of various compressed samples. The samples can accessed at https://mauriceqch.github.io/pcc_geo_cnn_samples/.

[Paper] [Source code] [Supplementary Material Website] [Supplementary Material]

Authors: Maurice Quach, Giuseppe Valenzise and Frederic Dufaux
Affiliation: L2S, CNRS, CentraleSupelec
Funding: ANR ReVeRy national fund (REVERY ANR-17-CE23-0020)

Citation

@misc{quach2019learning,
    title={Learning Convolutional Transforms for Lossy Point Cloud Geometry Compression},
    author={Maurice Quach and Giuseppe Valenzise and Frederic Dufaux},
    year={2019},
    eprint={1903.08548},
    archivePrefix={arXiv},
    primaryClass={cs.CV}
}