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 …

Deep-PCAC: An end-to-end deep lossy compression framework for point cloud attributes

X Sheng, L Li, D Liu, Z Xiong, Z Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The large data volume of point clouds poses severe challenges for efficient storage and
transmission in recent years. In this paper, we propose the first--to our best knowledge--end …

Learned point cloud geometry compression

J Wang, H Zhu, Z Ma, T Chen, H Liu, Q Shen - arXiv preprint arXiv …, 2019 - arxiv.org
This paper presents a novel end-to-end Learned Point Cloud Geometry Compression (aka,
Learned-PCGC) framework, to efficiently compress the point cloud geometry (PCG) using …

3D-MSFC: A 3D multi-scale features compression method for object detection

Z Li, C Tian, H Yuan, X Lu, H Malekmohamadi - Displays, 2024 - Elsevier
As machine vision tasks rapidly evolve, a new concept of compression, namely video coding
for machines (VCM), has emerged. However, current VCM methods are only suitable for 2D …

Variable Rate Point Cloud Geometry Compression Method

L Zhuang, J Tian, Y Zhang, Z Fang - Sensors, 2023 - mdpi.com
With the development of 3D sensors technology, 3D point cloud is widely used in industrial
scenes due to their high accuracy, which promotes the development of point cloud …

Quality evaluation of machine learning-based point cloud coding solutions

J Prazeres, R Rodrigues, M Pereira… - Proceedings of the 1st …, 2022 - dl.acm.org
In this paper, a quality evaluation of three point cloud coding solutions based on machine
learning technology is presented, notably, ADLPCC, PCC_GEO_CNN, and PCGC, as well …

Adaptive plane projection for video-based point cloud coding

E Lopes, J Ascenso, C Brites… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
One of the most promising emerging 3D representation paradigms is the point cloud (PC)
model, notably due to the new set of applications that it enables, from immersive …

On the stability of point cloud machine learning based coding

J Prazeres, R Rodrigues, M Pereira… - 2022 10th European …, 2022 - ieeexplore.ieee.org
This paper analyses the performance of two of the most well known deep learning-based
point cloud coding solutions, considering the training conditions. Several works have …

Jpeg pleno call for proposals responses quality assessment

J Prazeres, Z Luo, AMG Pinheiro… - ICASSP 2023-2023 …, 2023 - ieeexplore.ieee.org
In this paper, the quality evaluation of the responses to the Call for Proposals (CfP) of JPEG
Pleno Point Cloud Coding is presented. Three responses to the CfP were evaluated …

Variable rate compression for raw 3d point clouds

MA Al Muzaddid, WJ Beksi - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
In this paper, we propose a novel variable rate deep compression architecture that operates
on raw 3D point cloud data. The majority of learning-based point cloud compression …