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deep-learning based point cloud compression methods.
learned_pcc's Introduction
Deep learning based point cloud compression
Static Point Cloud Geometry Compression
Pub. |
Author |
Title |
Links |
DCC 2020 |
NJU |
Multiscale Point Cloud Geometry Compression |
Paper/Code |
TCSVT 2021 |
NJU |
Lossy Point Cloud Geometry Compression via End-to-End Learning [Learned Point Cloud Geometry Compression in arxiv 2019] |
Paper |
ACM MM 2019 |
ZJU |
3D Point Cloud Geometry Compression on Deep Learning |
Paper |
CVPR 2020 |
Uber |
OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression |
Paper |
ICME 2020 |
SZU |
Lossy Geometry Compression Of 3d Point Cloud Data Via An Adaptive Octree-Guided Network |
Paper/Code |
ICIP 2019 |
L2S |
Learning Convolutional Transforms for Lossy Point Cloud Geometry Compression |
Paper/Code |
ICMEW 2020 |
IST |
Deep Learning-Based Point Cloud Geometry Coding: RD Control Through Implicit and Explicit Quantization |
Paper |
JSTSP 2021 |
IST |
Adaptive Deep Learning-based Point Cloud Geometry Coding |
Paper |
MMSP 2020 |
CNRS |
Improved Deep Point Cloud Geometry Compression |
paper/Code |
ICRA 2019 |
Nagoya University |
Point Cloud Compression for 3D LiDAR Sensor using Recurrent Neural Network with Residual Blocks |
Paper/Code |
IEEE ROBOTICS AND AUTOMATION LETTERS 2019 |
HKUST |
A novel point cloud compression algorithm based on clustering |
Paper |
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Point Cloud Sequence Compression
Pub. |
Author |
Title |
Links |
ACM MM 2020 |
SZU |
An Advanced LiDAR Point Cloud Sequence Coding Scheme for Autonomous Driving |
Paper |
IEEE ACCESS 2019 |
Nagoya University |
Real-time Streaming Point Cloud Compression for 3D LiDAR Sensor Using U-net |
Paper |
IEEE ROBOTICS AND AUTOMATION LETTERS 2020 |
HKU |
A Novel Coding Architecture for LiDAR Point Cloud Sequence |
Paper |
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learned_pcc's People
Contributors