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PCAC-GAN:A sparse-tensor-based generative adversarial network for 3D point cloud attribute compression

Xiaolong Mao Hui Yuan Xin Lu Raouf Hamzaoui Wei Gao

Computational Visual Media2025，Vol.11Issue(5)：P.939-951,13.

Computational Visual Media2025，Vol.11Issue(5)：P.939-951,13.DOI:10.26599/CVM.2025.9450409

PCAC-GAN:A sparse-tensor-based generative adversarial network for 3D point cloud attribute compression

Xiaolong Mao ¹Hui Yuan ²Xin Lu ³Raouf Hamzaoui ⁴Wei Gao⁵

作者信息

1. School of Software,Shandong University,Jinan 250100,China
2. School of Control Science and Engineering,Shandong University,Key Laboratory of Machine Intelligence and System Control,Ministry of Education,Jinan 250100,China
3. School of Computer Science and Informatics,De Montfort University,Leicester LEI 9BH,UK
4. Sesoo of Eengineering and Sustainable Development,De Montfort University,Leicester LEI 9BH,UK
5. School of Electronic and Computer Engineering,Peking University,Shenzhen 518055,China
折叠

摘要

关键词

point clouds/attribute compression/generative adversarial network(GAN)/sparse convolution

分类

信息技术与安全科学

引用本文复制引用

Xiaolong Mao,Hui Yuan,Xin Lu,Raouf Hamzaoui,Wei Gao..PCAC-GAN:A sparse-tensor-based generative adversarial network for 3D point cloud attribute compression[J].Computational Visual Media,2025,11(5):P.939-951,13.

基金项目

supported in part by the National Natural Science Foundation of China under Grants 62222110,62172259,62571303 （）

the High-end Foreign Experts Recruitment Plan of Chinese Ministry of Science and Technology under Grant G2023150003L （）

the exchange project of the Royal Society and the National Natural Science Foundation of China under Grant 62311530104(IEC\NSFC\223076) （IEC\NSFC\223076）

the Taishan Scholar Project of Shandong Province(tsqn202103001) （tsqn202103001）

the Natural Science Foundation of Shandong Province under Grant ZR2022ZD38. （）

Computational Visual Media

OACSCD

ISSN：2096-0433

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