Lightweight fully connected network-based fast CU size decision for video-based point cloud compression
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Computer Graphics and Computer-Aided Design,Human-Computer Interaction,General Engineering
Reference44 articles.
1. Compression of sparse and dense dynamic point clouds—methods and standards;Cao;Proc IEEE,2021
2. Point cloud quality assessment based on geometry-aware texture descriptors;Diniz;Comput Graph,2022
3. Random screening-based feature aggregation for point cloud denoising;Wang;Comput Graph,2023
4. A comprehensive study and comparison of core technologies for MPEG 3-D point cloud compression;Liu;IEEE Trans Broadcast,2019
5. Design, implementation, and evaluation of a point cloud codec for tele-immersive video;Mekuria;IEEE Trans Circuits Syst Video Technol,2016
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Unsupervised learning-based fast CU size decision for geometry videos in V-PCC;Journal of Real-Time Image Processing;2023-12-23
2. Note Computers & Graphics Issue 117;Computers & Graphics;2023-12
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