Density-preserving Deep Point Cloud Compression

Author:

He Yun1,Ren Xinlin1,Tang Danhang2,Zhang Yinda2,Xue Xiangyang1,Fu Yanwei1

Affiliation:

1. Fudan University

2. Google

Funder

NSFC

Publisher

IEEE

Reference46 articles.

1. Dynamic graph cnn for learning on point clouds;wang;ACM Transactions on Graphics (TOG),2019

2. Lossy Point Cloud Geometry Compression via End-to-End Learning

3. Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

4. Octree-based point-cloud compression;schnabel;PBG SIGGRAPH,0

5. 3d is here: Point cloud library (pel);rusu;2011 IEEE International Conference on Robotics and Automation,0

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1. Compressed point cloud classification with point-based edge sampling;EURASIP Journal on Image and Video Processing;2024-08-07

2. Compression without Compromise: Optimizing Point Cloud Object Detection with Bottleneck Architectures For Split Computing;2024 IEEE International Conference on Multimedia and Expo Workshops (ICMEW);2024-07-15

3. Deep Point Cloud Compression of Indoor Environment Scenes;2024 59th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST);2024-07-01

4. Scalable Human-Machine Point Cloud Compression;2024 Picture Coding Symposium (PCS);2024-06-12

5. Octree-Retention Fusion: A High-Performance Context Model for Point Cloud Geometry Compression;Proceedings of the 2024 International Conference on Multimedia Retrieval;2024-05-30

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