Survey on deep learning-based point cloud compression

M Quach, J Pang, D Tian, G Valenzise… - Frontiers in Signal …, 2022 - frontiersin.org
Point clouds are becoming essential in key applications with advances in capture
technologies leading to large volumes of data. Compression is thus essential for storage …

Lossy point cloud geometry compression via end-to-end learning

J Wang, H Zhu, H Liu, Z Ma - … on Circuits and Systems for Video …, 2021 - ieeexplore.ieee.org
This paper presents a novel end-to-end Learned Point Cloud Geometry Compression (aka,
Learned-PCGC) system, leveraging stacked Deep Neural Networks (DNN) based …

Octattention: Octree-based large-scale contexts model for point cloud compression

C Fu, G Li, R Song, W Gao, S Liu - … of the AAAI conference on artificial …, 2022 - ojs.aaai.org
In point cloud compression, sufficient contexts are significant for modeling the point cloud
distribution. However, the contexts gathered by the previous voxel-based methods decrease …

Multiscale point cloud geometry compression

J Wang, D Ding, Z Li, Z Ma - 2021 Data Compression …, 2021 - ieeexplore.ieee.org
Recent years have witnessed the growth of point cloud based applications for both
immersive media as well as 3D sensing for auto-driving, because of its realistic and fine …

Perceptual quality assessment of colored 3D point clouds

Q Liu, H Su, Z Duanmu, W Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
3D point clouds have found a wide variety of applications in multimedia processing, remote
sensing, and scientific computing. Although most point cloud processing systems are …

Sparse tensor-based multiscale representation for point cloud geometry compression

J Wang, D Ding, Z Li, X Feng, C Cao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This study develops a unified Point Cloud Geometry (PCG) compression method through the
processing of multiscale sparse tensor-based voxelized PCG. We call this compression …

Learning convolutional transforms for lossy point cloud geometry compression

M Quach, G Valenzise, F Dufaux - 2019 IEEE international …, 2019 - ieeexplore.ieee.org
Efficient point cloud compression is fundamental to enable the deployment of virtual and
mixed reality applications, since the number of points to code can range in the order of …

A comprehensive study and comparison of core technologies for MPEG 3-D point cloud compression

H Liu, H Yuan, Q Liu, J Hou, J Liu - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Point cloud based 3D visual representation is becoming popular due to its ability to exhibit
the real world in a more comprehensive and immersive way. However, under a limited …

A hybrid compression framework for color attributes of static 3D point clouds

H Liu, H Yuan, Q Liu, J Hou, H Zeng… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The emergence of 3D point clouds (3DPCs) is promoting the rapid development of
immersive communication, autonomous driving, and so on. Due to the huge data volume …

A survey on 3D point cloud compression using machine learning approaches

R Hooda, WD Pan, TM Syed - SoutheastCon 2022, 2022 - ieeexplore.ieee.org
Machine learning has been widely used for solving several data processing tasks and
recently found applications in data compression domain as well, notably for point cloud …