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3dpcc/README.md

3DPCC：Point Cloud Compression

This repository contains a collection of point cloud geometry and attribute compression methods developed by NJU and HZNU.

News

Contents

  • Geometry

  • [TCSVT] PCGCv1: Learned Point Cloud Geometry Compression

  • [DCC] PCGCv2: Multiscale Point Cloud Geometry Compression

  • [ACM MM Workshop] Transformer and Upsampling-Based Point Cloud Compression

  • [VCIP] PCGFormer: Lossy Point Cloud Geometry Compression via Local Self-Attention

  • [TPAMI] SparsePCGC: Sparse Tensor-based Multiscale Representation for Point Cloud Geometry Compression

  • [TVCG] GRNet: Geometry Restoration for G-PCC Compressed Point Clouds Using Auxiliary Density Signaling

  • [ICASSSP] NeRI: Implicit Neural Representation of LiDAR Point Cloud Using Range Image Sequence

  • [IJCAI] Encoding Auxiliary Information to Restore Compressed Point Cloud Geometry

  • Attribute

  • [MIPR] SparsePCAC: Sparse Tensor-based Point Cloud Attribute Compression

  • [CVM] ARNet: Compression Artifact Reduction for Point Cloud Attribute

  • [DCC] Lossless Point Cloud Attribute Compression Using Cross-scale, Cross-group, and Cross-color Prediction

  • [TMM] ScalablePCAC: Scalable Point Cloud Attribute Compression

  • [TVCG] Learning to Restore Compressed Point Cloud Attribute: A Fully Data-Driven Approach and A Rules-Unrolling-Based Optimization

  • Integrated Solution

  • [TETCI] DeepPCC: Learned Lossy Point Cloud Compression

  • [ACM MM] YOGAv1: Yet Another Geometry-based Point Cloud Compressor

  • [ACM MM] GPCC++: Enhanced Geometry-based Point Cloud Compression

  • [Under Review] YOGAv2: A Layered Point Cloud Compressor

  • [TPAMI] A Versatile Point Cloud Compressor Using Universal Multiscale Conditional Coding – Part I: Geometry

  • [TPAMI] A Versatile Point Cloud Compressor Using Universal Multiscale Conditional Coding – Part II: Attribute

Geometry

PCGCv1: Learned Point Cloud Geometry Compression

Jianqiang Wang, Hao Zhu, Haojie Liu, Zhan Ma

[Paper] [code]

13 Jan 2021

PCGCv2: Multiscale Point Cloud Geometry Compression

Jianqiang Wang, Dandan Ding, Zhu Li, Zhan Ma

[Paper] [code]

23 Mar 2021

Transfomer and Upsampling-Based Point Cloud Compression

Junteng Zhang, Gexin Liu, Dandan Ding, Zhan Ma

[Paper] [code]

10 Oct 2022

PCGFormer: Lossy Point Cloud Geometry Compression via Local Self-Attention

Gexin Liu, Jianqiang Wang, Dandan Ding, Zhan Ma

[Paper] [code]

13 Dec 2022

SparsePCGC: Sparse Tensor-based Multiscale Representation for Point Cloud Geometry Compression

Jianqiang Wang, Dandan Ding, Zhu Li, Xiaoxing Feng, Chuntong Cao, Zhan Ma

[Paper] [code]

01 Dec 2022

GRNet: Geometry Restoration for G-PCC Compressed Point Clouds Using Auxiliary Density Signaling

Gexin Liu, Ruixiang Xue, Jiaxin Li, Dandan Ding and Zhan Ma

[Paper] [code]

27 Nov 2023

NeRI: Implicit Neural Representation of LiDAR Point Cloud Using Range Image Sequence

Ruixiang Xue, Jiaxin Li, Tong Chen, Dandan Ding, Xun Cao and Zhan Ma

[Paper] [code]

14 Apr 2024

Encoding Auxiliary Information to Restore Compressed Point Cloud Geometry

Gexin Liu, Jiahao Zhu, Dandan Ding and Zhan Ma

17 Apr 2024

Attribute

SparsePCAC: Sparse Tensor-based Point Cloud Attribute Compression

Jianqiang Wang, Zhan Ma

[Paper] [code]

08 Sep 2022

ARNet: Compression Artifact Reduction for Point Cloud Attribute

Junzhe Zhang, Junteng Zhang, Dandan Ding, Zhan Ma

[Paper] [code]

16 Mar 2023

Lossless Point Cloud Attribute Compression Using Cross-scale, Cross-group, and Cross-color Prediction

Jianqiang Wang, Dandan Ding and Zhan Ma

[Paper]

21 Mar 2023

ScalablePCAC: Scalable Point Cloud Attribute Compression

Junteng Zhang, Jianqiang Wang, Dandan Ding, Zhan Ma

[Paper]

03 Nov 2023

Learning to Restore Compressed Point Cloud Attribute: A Fully Data-Driven Approach and A Rules-Unrolling-Based Optimization

Junteng Zhang, Junzhe Zhang, Dandan Ding and Zhan Ma

[Paper]

12 Mar 2024

Integrated Solution

DeepPCC: Learned Lossy Point Cloud Compression

Junzhe Zhang, Gexin Liu, Junteng Zhang, Dandan Ding, and Zhan Ma

[Paper] [code]

11 Oct 2024

YOGAv1: Yet Another Geometry-based Point Cloud Compressor

Junteng Zhang, Tong Chen, Dandan Ding, and Zhan Ma

[Paper] [website]

27 Oct 2023

GPCC++: Enhanced Geometry-based Point Cloud Compression

Junzhe Zhang, Tong Chen, Dandan Ding, and Zhan Ma

[Paper] [website]

27 Oct 2023

YOGAv2: A Layered Point Cloud Compressor

Junteng Zhang, Hao Chen, Junzhe Zhang, Jiangbo Lu, Dandan Ding, and Zhan Ma

[Paper] [website]

Unicorn: A Versatile Point Cloud Compressor Using Universal Multiscale Conditional Coding

Jianqiang Wang, Ruixiang Xue, Jiaxin Li, Dandan Ding, Lin Yi, Zhan Ma

[Paper Ⅰ] [Paper Ⅱ] [code] [website]

12 Sep 2024

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