MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models

MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models

15 November 2020

Shenlong Wang

Papers citing "MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models"

9 / 9 papers shown

Title
DiffPMAE: Diffusion Masked Autoencoders for Point Cloud Reconstruction Yanlong Li Chamara Madarasingha Kanchana Thilakarathna 26 1 0 06 Dec 2023
FLiCR: A Fast and Lightweight LiDAR Point Cloud Compression Based on Lossy RI Jin Heo Christopher Phillips Ada Gavrilovska 30 9 0 27 Jul 2023
WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting K. Chen Runzhou Ge Hang Qiu Rami Ai-Rfou C. Qi ... Mustafa A. Mustafa Ivan Bogun Weiyue Wang Mingxing Tan Drago Anguelov 29 20 0 07 Apr 2023
ECM-OPCC: Efficient Context Model for Octree-based Point Cloud Compression Yiqi Jin Z. Zu Tongda Xu Yuhuan Lin Yan Wang 3DPC 28 3 0 20 Nov 2022
Efficient LiDAR Point Cloud Geometry Compression Through Neighborhood Point Attention R. Xue Jianqiang Wang Zhan Ma 3DPC 27 11 0 26 Aug 2022
Inter-Frame Compression for Dynamic Point Cloud Geometry Coding Anique Akhtar Zhu Li G. Van der Auwera 3DPC 27 28 0 25 Jul 2022
3DAC: Learning Attribute Compression for Point Clouds Guangchi Fang Qingyong Hu Hanyun Wang Yiling Xu Yulan Guo 3DPC 34 31 0 17 Mar 2022
VoxelContext-Net: An Octree based Framework for Point Cloud Compression Zizheng Que Guo Lu Dong Xu 3DPC 25 129 0 05 May 2021
A deep perceptual metric for 3D point clouds Maurice Quach A. Chetouani G. Valenzise Frederic Dufaux 3DPC 19 11 0 25 Feb 2021