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SCP: Spherical-Coordinate-based Learned Point Cloud Compression
v1v2v3 (latest)

SCP: Spherical-Coordinate-based Learned Point Cloud Compression

AAAI Conference on Artificial Intelligence (AAAI), 2023
24 August 2023
Ao Luo
Li-Juan Song
Keisuke Nonaka
Kyohei Unno
Heming Sun
Masayuki Goto
J. Katto
    3DPC
ArXiv (abs)PDFHTML

Papers citing "SCP: Spherical-Coordinate-based Learned Point Cloud Compression"

5 / 5 papers shown
Title
AnyPcc: Compressing Any Point Cloud with a Single Universal Model
AnyPcc: Compressing Any Point Cloud with a Single Universal Model
Kangli Wang
Qianxi Yi
Yuqi Ye
Shihao Li
Wei Gao
3DPC
124
0
0
23 Oct 2025
Rate-distortion Optimized Point Cloud Preprocessing for Geometry-based Point Cloud Compression
Rate-distortion Optimized Point Cloud Preprocessing for Geometry-based Point Cloud Compression
Wanhao Ma
Wei Zhang
Shuai Wan
Fuzheng Yang
116
0
0
03 Aug 2025
Voxel-based Point Cloud Geometry Compression with Space-to-Channel Context
Voxel-based Point Cloud Geometry Compression with Space-to-Channel Context
Bojun Liu
Yangzhi Ma
Ao Luo
L. Li
Dong Liu
3DPC
159
4
0
24 Mar 2025
RENO: Real-Time Neural Compression for 3D LiDAR Point Clouds
RENO: Real-Time Neural Compression for 3D LiDAR Point CloudsComputer Vision and Pattern Recognition (CVPR), 2025
Kang-Soo You
Tong Chen
Dandan Ding
M. Salman Asif
Zhan Ma
3DPC
234
11
0
16 Mar 2025
Compression of Large-Scale 3D Point Clouds Based on Joint Optimization
  of Point Sampling and Feature Extraction
Compression of Large-Scale 3D Point Clouds Based on Joint Optimization of Point Sampling and Feature Extraction
Jae-Young Yim
Jae-Young Sim
3DPC
201
0
0
10 Dec 2024
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