Awesome Learning-based Point Cloud Compression

A continual collection of papers related to Learning-based Point Cloud Compression.

🚀 The scope of our collection

💡 Topic 1: Learning-based Point Cloud Geometry/Attribute/Unified Compression methods.

💡 Topic 2: Post-processing / Quality Enhancement / Artifact Removal of Compressed Point Clouds.

💡 Topic 3: Point Cloud Compression for Machine

💡 Topic 4: Point Cloud Compression for Rendering

💡 Topic 5: Rate Control / Quality Assessment of Point Clouds.

💡 Topic 6: Point Cloud Analysis methods

This topic mainly contains articles focusing on point cloud analysis tasks, but the network structure can be used as a backbone in point cloud compression tasks, or the ideas can be borrowed by point cloud compression tasks.

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💡 Compression

Geometry

Adaptive Downsampling and Spatial Upconversion for Point Cloud Compression

• 🧑‍🔬 Author: Yichen Zhou, Xinfeng Zhang, Yingzhan Xu, Kai Zhang, Li Zhang
• 🏫 Affiliation: University of Chinese Academy of Sciences, Bytedance Inc.
• 🔗 Link: [Code] [ICIP]
• 📝 Note:

Context-Adaptive Entropy Model With Adapters For Lossless Point Cloud Geometry Compression

• 🧑‍🔬 Author: Yutong Zhang, Wenbo Zhao, Daxin Li, Junjun Jiang, Xianming Liu
• 🏫 Affiliation: Harbin Institute of Technology
• 🔗 Link: [Code] [ICIP]
• 📝 Note:

Mamba-PCGC: Mamba-Based Point Cloud Geometry Compression

• 🧑‍🔬 Author: Monyneath Yim, Jui-Chiu Chiang
• 🏫 Affiliation: National Chung Cheng University
• 🔗 Link: [Code] [ICIP]
• 📝 Note:

Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds

• 🧑‍🔬 Author: Kai Liu, Kang You, Pan Gao
• 🏫 Affiliation: Nanjing University of Aeronautics and Astronautics
• 🔗 Link: [Code] [arXiv:2408.10543]
• 📝 Note:

LLM-PCGC: Large Language Model-based Point Cloud Geometry Compression

• 🧑‍🔬 Author: Yuqi Ye, Wei Gao
• 🏫 Affiliation: Peking University
• 🔗 Link: [Code] [arXiv:2408.08682]
• 📝 Note:

A Du-Octree based Cross-Attention Model for LiDAR Geometry Compression

• 🧑‍🔬 Author: Mingyue Cui, Mingjian Feng, Junhua Long, Daosong Hu, Shuai Zhao, Kai Huang
• 🏫 Affiliation: Sun Yat-sen University
• 🔗 Link: [Code] [ICRA]
• 📝 Note:

Fast Point Cloud Geometry Compression with Context-based Residual Coding and INR-based Refinement

• 🧑‍🔬 Author: Hao Xu, Xi Zhang, Xiaolin Wu
• 🏫 Affiliation: McMaster University, Shanghai Jiao Tong University
• 🔗 Link: [Code] [arXiv:2408.02966]
• 📝 Note: 🔥 (ECCV 2024)

BMT-PCGC: Point Cloud Geometry Compression with Bidirectional Mask Transformer Entropy Model

• 🧑‍🔬 Author: Monyneath Yim, Bing-Han Wu, Jui-Chiu Chiang
• 🏫 Affiliation: National Chung Cheng University Taiwan
• 🔗 Link: [Code] [PCS]
• 📝 Note:

Enhancing octree-based context models for point cloud geometry compression with attention-based child node number prediction

• 🧑‍🔬 Author: Chang Sun, Hui Yuan, Xiaolong Mao, Xin Lu, Raouf Hamzaoui
• 🏫 Affiliation: Shandong University, De Montfort University
• 🔗 Link: [Code] [IEEE SPL]
• 📝 Note:

Enhancing context models for point cloud geometry compression with context feature residuals and multi-loss

• 🧑‍🔬 Author: Chang Sun, Hui Yuan, Shuai Li, Xin Lu, Raouf Hamzaoui
• 🏫 Affiliation: Shandong University, De Montfort University
• 🔗 Link: [Code] [IEEE Journal on Emerging and Selected Topics in Circuits and Systems]
• 📝 Note:

Multi-Space Point Geometry Compression With Progressive Relation-Aware Transformer

• 🧑‍🔬 Author: Wenxiang Shen, BaoYe Zhang, Hao Xu, XiaoHan Li, Jun Wu
• 🏫 Affiliation: Tongji University, University of Science and Technology of China, Fudan University
• 🔗 Link: [Code] [TMM]
• 📝 Note:

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

• 🧑‍🔬 Author: Ruixiang Xue, Jiaxin Li, Tong Chen, Dandan Ding, Xun Cao, Zhan Ma
• 🏫 Affiliation: Nanjing University, Hangzhou Normal University
• 🔗 Link: [Code] [ICASSP 2024]
• 📝 Note:

Surface-Constrained Progressive Feature Preserving Point Cloud Compression

• 🧑‍🔬 Author: Baoye Zhang, Wenxiang Shen, Bin Tan, Die Hu, Jun Wu
• 🏫 Affiliation: Tongji University, Jinggangshan University, Fudan University
• 🔗 Link: [Code] [ICASSP 2024]
• 📝 Note:

ScanPCGC: Learning-Based Lossless Point Cloud Geometry Compression using Sequential Slice Representation

• 🧑‍🔬 Author: Jiangwei Deng, Yuhao An, Thomas H. Li, Shan Liu, Ge Li
• 🏫 Affiliation: Peking University, Tencent America
• 🔗 Link: [Code] [ICASSP 2024]
• 📝 Note:

Temporal Conditional Coding for Dynamic Point Cloud Geometry Compression

• 🧑‍🔬 Author: Bowen Huang; Davi Lazzarotto; Touradj Ebrahimi
• 🏫 Affiliation: Ecole Polytechnique Fed´ erale de Lausanne
• 🔗 Link: [Code] [ICASSP 2024]
• 📝 Note:

When Dynamic Neural Network Meets Point Cloud Compression: Computation-Aware Variable Rate and Checkerboard Context

• 🧑‍🔬 Author: Zhuozhen Yu, Wei Gao
• 🏫 Affiliation: Peking University, Peng Cheng Laboratory
• 🔗 Link: [Code] [DCC 2024]
• 📝 Note:

Semantic-Aware Visual Decomposition for Point Cloud Geometry Compression

• 🧑‍🔬 Author: Liang Xie, Wei Gao, Huiming Zheng, Hua Ye
• 🏫 Affiliation: Peking University, Peng Cheng Laboratory
• 🔗 Link: [Code] [DCC 2024]
• 📝 Note:

Pointsoup: High-Performance and Extremely Low-Decoding-Latency Learned Geometry Codec for Large-Scale Point Cloud Scenes

• 🧑‍🔬 Author: Kang You, Kai Liu, Li Yu, Pan Gao, Dandan Ding
• 🏫 Affiliation: Nanjing University of Aeronautics and Astronautics, Nanjing University of Information Science and Technology, Hangzhou Normal University
• 🔗 Link: [Code] [arXiv:2404.13550]
• 📝 Note: 🔥 (IJCAI 2024)

Point Cloud Compression via Constrained Optimal Transport

• 🧑‍🔬 Author: Zezeng Li, Weimin Wang, Ziliang Wang, Na Lei
• 🏫 Affiliation: Dalian University of Technology
• 🔗 Link: [Code] [arXiv:2403.08236]
• 📝 Note:

patchDPCC: A Patchwise Deep Compression Framework for Dynamic Point Clouds

• 🧑‍🔬 Author: Zirui Pan, Mengbai Xiao, Xu Han, Dongxiao Yu, Guanghui Zhang, Yao Liu
• 🏫 Affiliation: Shandong University, Rutgers University
• 🔗 Link: [Code] [AAAI]
• 📝 Note: AAAI 2024 [appendix]

PIVOT-Net: Heterogeneous Point-Voxel-Tree-based Framework for Point Cloud Compression

• 🧑‍🔬 Author: Jiahao Pang, Kevin Bui, Dong Tian
• 🏫 Affiliation: InterDigital
• 🔗 Link: [Code] [3DV]
• 📝 Note: 2024 International Conference on 3D Vision (3DV)

Deep Learning-based Point Cloud Geometry Coding with Attention Models

• 🧑‍🔬 Author: Mohammadreza Ghafari, André F. R. Guarda, Nuno M. M. Rodrigues, Fernando Pereira
• 🏫 Affiliation:
• 🔗 Link: [Code] [ISM]
• 📝 Note: 2023 IEEE International Symposium on Multimedia (ISM)

Octree-Based Temporal-Spatial Context Entropy Model for LiDAR Point Cloud Compression

• 🧑‍🔬 Author: Longhua Sun, Jin Wang, Yunhui Shi, Qing Zhu, Baocai Yin, Nam Ling
• 🏫 Affiliation: Beijing University of Technology, Santa Clara University
• 🔗 Link: [Code] [VCIP]
• 📝 Note: 29 January 2024

OctPCGC-Net: Learning Octree-Structured Context Entropy Model for Point Cloud Geometry Compression

• 🧑‍🔬 Author: Xinjie Wang, Hanyun Wang, Ke Xu, Jianwei Wan, Yulan Guo
• 🏫 Affiliation:
• 🔗 Link: [Code] [PRCV]
• 📝 Note: 24 December 2023

Sparse Representation based Deep Residual Geometry Compression Network for Large-scale Point Clouds

• 🧑‍🔬 Author: Pengpeng Yu, Dian Zuo, Yueer Huang, Ruishan Huang, Hanyun Wang, Yulan Guo, Fan Liang
• 🏫 Affiliation: Sun Yat-sen University, Information Engineering University, Peng Cheng Laboratory
• 🔗 Link: [Code] [ICME]
• 📝 Note: 25 August 2023 (FastPCC)

Efficient Hierarchical Entropy Model for Learned Point Cloud Compression

• 🧑‍🔬 Author: Rui Song, Chunyang Fu, Shan Liu, Ge Li
• 🏫 Affiliation: Peking University, Tencent America
• 🔗 Link: [Code] [CVPR]
• 📝 Note: 22 August 2023

Sparse Tensor-Based Multiscale Representation for Point Cloud Geometry Compression

• 🧑‍🔬 Author: Jianqiang Wang, Dandan Ding, Zhu Li, Xiaoxing Feng, Chuntong Cao, Zhan Ma
• 🏫 Affiliation: Nanjing University, HangZhou Normal University, University of Missouri, Jiangsu Longyuan Zhenhua Marine Engineering Co., LTD.
• 🔗 Link: [Code] [TPAMI]
• 📝 Note: 🔥 SparsePCGC (01 December 2022)

3QNet: 3D Point Cloud Geometry Quantization Compression Network

• 🧑‍🔬 Author: Tianxin Huang, Jiangning Zhang, Jun Chen, Zhonggan Ding, Ying Tai, Zhenyu Zhang, Chengjie Wang, Yong Liu
• 🏫 Affiliation: Zhejiang University, Tencent youtu Lab,
• 🔗 Link: [Code] [ToG]
• 📝 Note: 30 November 2022

Density-preserving Deep Point Cloud Compression

• 🧑‍🔬 Author: Yun He, Xinlin Ren, Danhang Tang, Yinda Zhang, Xiangyang Xue, Yanwei Fu
• 🏫 Affiliation: Beijing University of Technology, Santa Clara University
• 🔗 Link: [Code] [arXiv:2204.12684]
• 📝 Note: CVPR 2022

OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression

• 🧑‍🔬 Author: Chunyang Fu, Ge Li, Rui Song, Wei Gao, Shan Liu
• 🏫 Affiliation: Peking University, Peng Cheng Laboratory, Tencent America
• 🔗 Link: [Code] [arXiv:2202.06028]
• 📝 Note: AAAI 2022

VoxelContext-Net: An Octree based Framework for Point Cloud Compression

• 🧑‍🔬 Author: Zizheng Que, Guo Lu, Dong Xu
• 🏫 Affiliation: Beihang University, Beijing Institute of Technology, University of Sydney
• 🔗 Link: [Code] [CVPR]
• 📝 Note: CVPR 2021

OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression

• 🧑‍🔬 Author: Lila Huang, Shenlong Wang, Kelvin Wong, Jerry Liu, Raquel Urtasun
• 🏫 Affiliation: Uber Advanced Technologies Group, University of Waterloo, University of Toronto
• 🔗 Link: [Code] [CVPR]
• 📝 Note: CVPR 2020

MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models

• 🧑‍🔬 Author: Sourav Biswas, Jerry Liu, Kelvin Wong, Shenlong Wang, Raquel Urtasun
• 🏫 Affiliation: Uber Advanced Technologies Group 2University of Waterloo 3University of Toronto
• 🔗 Link: [Code] [arXiv:2011.07590]
• 📝 Note: NeurIPS 2020

Attribute

ResNeRF-PCAC: Super Resolving Residual Learning NeRF for High Efficiency Point Cloud Attributes Coding

• 🧑‍🔬 Author: Sajid Umair, Birendra Kathariya, Zhu Li, Anique Akhtar, Geert Van der Auwera
• 🏫 Affiliation: University of Missouri-Kansas City, Qualcomm Technologies Inc.
• 🔗 Link: [Code] [[ICIP](https://arxiv.org/abs/2410.17823]
• 📝 Note:

Att2CPC: Attention-Guided Lossy Attribute Compression of Point Clouds

• 🧑‍🔬 Author: Kai Liu, Kang You, Pan Gao, Manoranjan Paul
• 🏫 Affiliation: Nanjing University of Aeronautics and Astronautics, Charles Sturt University
• 🔗 Link: [Code] [IEEE TRANSACTIONS ON ARTIFICIAL INTELLIGENCE]
• 📝 Note:

End-to-end learned Lossy Dynamic Point Cloud Attribute Compression

• 🧑‍🔬 Author: Dat Thanh Nguyen, Daniel Zieger, Marc Stamminger, Andre Kaup
• 🏫 Affiliation: Chair of Multimedia Communications and Signal Processing, Chair of Visual Computing FAU
• 🔗 Link: [Code] [ICIP]
• 📝 Note: dynamic attribute

PCAC-GAN: A Sparse-Tensor-Based Generative Adversarial Network for 3D Point Cloud Attribute Compression

• 🧑‍🔬 Author: Xiaolong Mao, Hui Yuan, Xin Lu, Raouf Hamzaoui, Wei Gao
• 🏫 Affiliation:
• 🔗 Link: [Code] [arXiv:2407.05677]
• 📝 Note: Computational Visual Media, 2024

TSC-PCAC: Voxel Transformer and Sparse Convolution Based Point Cloud Attribute Compression for 3D Broadcasting

• 🧑‍🔬 Author: Zixi Guo, Yun Zhang, Linwei Zhu, Hanli Wang, Gangyi Jiang
• 🏫 Affiliation: Sun Yat-Sen University, Shenzhen Institute of Advanced Technology, Tongji University, Ningbo University
• 🔗 Link: [Code] [arXiv:2407.04284]
• 📝 Note:

Efficient and Generic Point Model for Lossless Point Cloud Attribute Compression

• 🧑‍🔬 Author: Kang You, Pan Gao, Zhan Ma
• 🏫 Affiliation: Nanjing University of Aeronautics and Astronautics, Nanjing University
• 🔗 Link: [Code] [arXiv:2404.06936]
• 📝 Note:

Efficient Point Cloud Attribute Compression Using Rich Parallelizable Context Model

• 🧑‍🔬 Author: Ruishan Huang, Pengpeng Yu, Shaolin Liao, Fan Liang
• 🏫 Affiliation: Sun Yat-sen University, Peng Cheng Laboratory
• 🔗 Link: [Code] [ICASSP 2024]
• 📝 Note:

Embedded Coding of Point Cloud Attributes

• 🧑‍🔬 Author: Victor F. Figueiredo, Ricardo L. de Queiroz, Philip A. Cho, Lucas S. Lopes
• 🏫 Affiliation: University of Brasilia, Google
• 🔗 Link: [Code] [IEEE ]
• 📝 Note:

Reducing the Complexity of Normalizing Flow Architectures for Point Cloud Attribute Compression

• 🧑‍🔬 Author: Rodrigo B. Pinheiro, Jean-Eudes Marvie, Giuseppe Valenzise, Frédéric Dufaux
• 🏫 Affiliation: InterDigital, Inc., Universite Paris-Saclay
• 🔗 Link: [Code] [ICASSP]
• 📝 Note:

Progressive Coding for Deep Learning based Point Cloud Attribute Compression

• 🧑‍🔬 Author: Michael Rudolph, Aron Riemenschneider, Amr Rizk
• 🏫 Affiliation: University of Duisburg-Essen
• 🔗 Link: [Code] [MMVE]
• 📝 Note: 15 April 2024

Scalable Point Cloud Attribute Compression

• 🧑‍🔬 Author: Junteng Zhang, Jianqiang Wang, Dandan Ding, Zhan Ma
• 🏫 Affiliation: Hangzhou Normal University, Nanjing University
• 🔗 Link: [Code] [TMM]
• 📝 Note: 09 November 2023

3DAC: Learning Attribute Compression for Point Cloud

• 🧑‍🔬 Author: Guangchi Fang, Qingyong Hu, Hanyun Wang, Yiling Xu, Yulan Guo
• 🏫 Affiliation: Sun Yat-sen University, University of Oxford. Information Engineering University, Shanghai Jiaotong University, National University of Defense Technology
• 🔗 Link: [Code] [CVPR]
• 📝 Note: 27 September 2022 (CVPR 2022)

SparsePCAC: Sparse Tensor-based Point Cloud Attribute Compression

• 🧑‍🔬 Author: Jianqiang Wang, Zhan Ma
• 🏫 Affiliation: Nanjing University
• 🔗 Link: [Code] [MIPR]
• 📝 Note: 08 Sep 2022, 2022 IEEE 5th International Conference on Multimedia Information Processing and Retrieval (MIPR)

Deep-PCAC: An End-to-End Deep Lossy Compression Framework for Point Cloud Attributes

• 🧑‍🔬 Author: Xihua Sheng, Li Li, Dong Liu, Zhiwei Xiong, Zhu Li, Feng Wu
• 🏫 Affiliation: University of Science and Technology of China, University of Missouri-Kansas City
• 🔗 Link: [Code] [TMM]
• 📝 Note: 04 June 2021

Folding-Based Compression Of Point Cloud Attributes

• 🧑‍🔬 Author: Maurice Quach, Giuseppe Valenzise, Frederic Dufaux
• 🏫 Affiliation: Université Paris-Saclay
• 🔗 Link: [Code] [ICIP]
• 📝 Note: ICIP 2020

Unified

A Versatile Point Cloud Compressor Using Universal Multiscale Conditional Coding – Part I: Geometry

• 🧑‍🔬 Author: Jianqiang Wang, Ruixiang Xue, Jiaxin Li, Dandan Ding, Yi Lin, Zhan Ma
• 🏫 Affiliation: Nanjing University, Hangzhou Normal University, Fudan University
• 🔗 Link: [Code] [TPAMI]
• 📝 Note: 🔥 TPAMI

A Versatile Point Cloud Compressor Using Universal Multiscale Conditional Coding – Part II: Attribute

• 🧑‍🔬 Author: Jianqiang Wang, Ruixiang Xue, Jiaxin Li, Dandan Ding, Yi Lin, Zhan Ma
• 🏫 Affiliation: Nanjing University, Hangzhou Normal University, Fudan University
• 🔗 Link: [Code] [TPAMI]
• 📝 Note: 🔥 TPAMI

DeepPCC: Learned Lossy Point Cloud Compression

• 🧑‍🔬 Author: Junzhe Zhang , Gexin Liu , Junteng Zhang , Dandan Ding , Zhan Ma
• 🏫 Affiliation: Hangzhou Normal University, Nanjing University
• 🔗 Link: [Code] [IEEE Transactions on Emerging Topics in Computational Intelligence]
• 📝 Note:

The JPEG Pleno Learning-based Point Cloud Coding Standard: Serving Man and Machine

• 🧑‍🔬 Author: André F. R. Guarda, Nuno M. M. Rodrigues, Fernando Pereira
• 🏫 Affiliation: Instituto de Telecomunicações, Lisbon, Portugal, ESTG, Politécnico de Leiria, Leiria, Portugal, Instituto Superior Técnico - Universidade de Lisboa, Lisbon, Portugal
• 🔗 Link: [Code] [arXiv:2409.08130]
• 📝 Note: 🔥JPEG Standard

Learned Compression of Point Cloud Geometry and Attributes in a Single Model through Multimodal Rate-Control

• 🧑‍🔬 Author: Michael Rudolph, Aron Riemenschneider, Amr Rizk
• 🏫 Affiliation: University of Duisburg-Essen, Leibniz University Hannover
• 🔗 Link: [Code] [arXiv:2408.00599]
• 📝 Note:

Bits-to-Photon: End-to-End Learned Scalable Point Cloud Compression for Direct Rendering

• 🧑‍🔬 Author: Yueyu Hu, Ran Gong, Yao Wang
• 🏫 Affiliation: New York University, Tsinghua University
• 🔗 Link: [Code] [arXiv:2406.05915]
• 📝 Note:

Point Cloud Compression with Implicit Neural Representations: A Unified Framework

• 🧑‍🔬 Author: Hongning Ruan, Yulin Shao, Qianqian Yang, Liang Zhao, Dusit Niyato
• 🏫 Affiliation: Zhejiang University, University of Macau, Nanyang Technological University
• 🔗 Link: [Code] [arXiv:2405.11493]
• 📝 Note: 🔥 INR-based

YOGA: Yet Another Geometry-based Point Cloud Compressor

• 🧑‍🔬 Author: Junteng Zhang, Tong Chen, Dandan Ding, Zhan Ma
• 🏫 Affiliation: Hangzhou Normal University, Nanjing University
• 🔗 Link: [Code] [MM]
• 📝 Note: 27 October 2023 [website]

💡 Quality Enhancement

Geometry

Encoding Auxiliary Information to Restore Compressed Point Cloud Geometry

• 🧑‍🔬 Author: Gexin Liu, Jiahao Zhu, Dandan Ding, Zhan Ma
• 🏫 Affiliation: Hangzhou Normal University, Nanjing University
• 🔗 Link: [Code] [IJCAI]
• 📝 Note:

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

• 🧑‍🔬 Author: Gexin Liu, Ruixiang Xue, Jiaxin Li, Dandan Ding, Zhan Ma
• 🏫 Affiliation: Hangzhou Normal University, Nanjing University
• 🔗 Link: [Code] [TVCG]
• 📝 Note:

Density-aware Swin Transformer for Compressed Point Cloud Geometry Artifacts Removal

• 🧑‍🔬 Author: Xiqian Yu, Xin Li, Hanxin Zhu, Zhibo Chen
• 🏫 Affiliation: Unviersity of Science and Technology of China
• 🔗 Link: [Code] [VCIP]
• 📝 Note:

DANet: Density-Adaptive Network for Geometry-based Point Cloud Compression Artifacts Removal

• 🧑‍🔬 Author: Zetao Yang; Wei Gao; Xijing Lu
• 🏫 Affiliation: Peking Unviersity
• 🔗 Link: [Code] [VCIP]
• 📝 Note:

TDRNet: Transformer-Based Dual-Branch Restoration Network for Geometry Based Point Cloud Compression Artifacts

• 🧑‍🔬 Author: Xiaoyu Zhang; Guibiao Liao; Wei Gao; Ge Li
• 🏫 Affiliation: Peking University, Peng Cheng Laboratory
• 🔗 Link: [Code] [ICME]
• 📝 Note:

Deep Geometry Post-Processing for Decompressed Point Clouds

• 🧑‍🔬 Author: Xiaoqing Fan, Ge Li, Dingquan Li, Yurui Ren, Wei Gao, Thomas H. Li
• 🏫 Affiliation: Peking University, Peng Cheng Laboratory
• 🔗 Link: [Code] [ICME]
• 📝 Note:

Point Cloud Geometry Prediction Across Spatial Scale using Deep Learning

• 🧑‍🔬 Author: Anique Akhtar, Wen Gao, Xiang Zhang, Li Li, Zhu Li, Shan Liu
• 🏫 Affiliation: University of Missouri-Kansas City, Tencent
• 🔗 Link: [Code] [VCIP]
• 📝 Note:

Attribute

TSF-NET3D: TSF-NET for 3D Point Cloud Attribute Compression Artifacts Removal

• 🧑‍🔬 Author: Birendra Kathariya, Zhu Li, Geert Van Der Auwera
• 🏫 Affiliation: University of Missouri-Kansas City, Qualcomm Technologies Inc.
• 🔗 Link: [Code] [ICIP]
• 📝 Note:

Dependence-Based Coarse-to-Fine Approach for Reducing Distortion Accumulation in G-PCC Attribute Compression

• 🧑‍🔬 Author: Tian Guo, Hui Yuan, Raouf Hamzaoui, Xiaohui Wang, Lu Wang
• 🏫 Affiliation: Shandong University, De Montfort University
• 🔗 Link: [Code] [ IEEE Transactions on Industrial Informatics]
• 📝 Note: traditional method

Fast Inter-frame Motion Prediction for Compressed Dynamic Point Cloud Attribute Enhancement

• 🧑‍🔬 Author: Wang Liu, Wei Gao, Xingming Mu
• 🏫 Affiliation: Peking University, Peng Cheng Laboratory
• 🔗 Link: [Code] [AAAI]
• 📝 Note: Dynamic Attribute Enhancement

A Small-Scale Image U-Net-Based Color Quality Enhancement for Dense Point Cloud

• 🧑‍🔬 Author: Jinrui Xing, Hui Yuan, Wei Zhang, Tian Guo, Chen Chen
• 🏫 Affiliation: Shandong University, Xidian University
• 🔗 Link: [Code] [IEEE Transactions on Consumer Electronics]
• 📝 Note:

MUSCON: Multi-scale Sparse Conv Learning for Point Cloud Attributes Deblocking

• 🧑‍🔬 Author: Muhammad Talha, Birendra Kathariya, Zhu Li, Geert Van Der Auwera
• 🏫 Affiliation: University Of Missouri-Kansas City, Qualcomm Technologies
• 🔗 Link: [Code] [DCC 2024]
• 📝 Note:

Fast Graph-Based Denoising For Point Cloud Color Information

• 🧑‍🔬 Author: Ryosuke Watanabe; Keisuke Nonaka; Eduardo Pavez; Tatsuya Kobayashi; Antonio Ortega
• 🏫 Affiliation: University of Southern California, ‡ KDDI Research, Inc.
• 🔗 Link: [Code] [ICASSP]
• 📝 Note: traditonal method

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

• 🧑‍🔬 Author: Junteng Zhang, Junzhe Zhang, Dandan Ding, Zhan Ma
• 🏫 Affiliation: Hangzhou Normal University, Nanjing University
• 🔗 Link: [Code] [TVCG]
• 📝 Note:

ARNet: Compression Artifact Reduction for Point Cloud Attribute

• 🧑‍🔬 Author: Junzhe Zhang, Junteng Zhang, Dandan Ding, Zhan Ma
• 🏫 Affiliation: Hangzhou Normal University, Nanjing University
• 🔗 Link: [Code] [arXiv:2209.08276]
• 📝 Note:

GQE-Net: a graph-based quality enhancement network for point cloud color attribute

• 🧑‍🔬 Author: Jinrui Xing; Hui Yuan; Raouf Hamzaoui; Hao Liu; Junhui Hou
• 🏫 Affiliation: Shandong University, De Montfort University, Yantai University, City University of Hong Kong
• 🔗 Link: [Code] [TIP]
• 📝 Note: learning-based graph-based

Graph-Based Point Cloud Color Denoising with 3-Dimensional Patch-Based Similarity

• 🧑‍🔬 Author: Ryosuke Watanabe; Keisuke Nonaka; Eduardo Pavez; Tatsuya Kobayashi; Antonio Ortega
• 🏫 Affiliation: University of Southern California, KDDI Research, Inc.
• 🔗 Link: [Code] [ICASSP]
• 📝 Note: traditional method, graph-based

Wiener Filter-based Color Attribute Quality Enhancement for Geometry-based Point Cloud Compression

• 🧑‍🔬 Author: Jinrui Xing, Hui Yuan, Chen Chen, Wei Gao
• 🏫 Affiliation: Shandong University, Peking University
• 🔗 Link: [Code] [APSIPAASC]
• 📝 Note: traditional method

Attribute Artifacts Removal for Geometry-based Point Cloud Compression

• 🧑‍🔬 Author: Xihua Sheng; Li Li; Dong Liu; Zhiwei Xiong
• 🏫 Affiliation: University of Science and Technology of China
• 🔗 Link: [Code] [TIP]
• 📝 Note: MS-GAT

Unified

GPCC++: Enhanced Geometry-based Point Cloud Compression

• 🧑‍🔬 Author: Junzhe Zhang, Tong Chen, Dandan Ding, and Zhan Ma
• 🏫 Affiliation: Hangzhou Normal University, Nanjing University
• 🔗 Link: [Code] [ACM MM]
• 📝 Note: [website]

💡 PCC for Machine

Can We Remove the Ground? Obstacle-aware Point Cloud Compression for Remote Object Detection

• 🧑‍🔬 Author: Pengxi Zeng, Alberto Presta, Jonah Reinis, Dinesh Bharadia, Hang Qiu, Pamela Cosman
• 🏫 Affiliation: UC San Diego, University of Turin, Italy，Case Western Reserve University, University of California Riverside
• 🔗 Link: [Code] [arXiv:2410.00582]
• 📝 Note:

Towards Point Cloud Compression for Machine Perception: A Simple and Strong Baseline by Learning the Octree Depth Level Predictor

• 🧑‍🔬 Author: Lei Liu, Zhihao Hu, Zhenghao Chen
• 🏫 Affiliation: Beihang University, School of Electrical and Information Engineering, The University of Sydney
• 🔗 Link: [Code] [arXiv:2406.00791]
• 📝 Note: Scalable Coding for Machine

SPCGC: Scalable Point Cloud Geometry Compression for Machine Vision

• 🧑‍🔬 Author: Liang Xie, Wei Gao, Huiming Zheng, Ge Li
• 🏫 Affiliation: Peking University, Peng Cheng Laboratory
• 🔗 Link: [Code] [ICRA]
• 📝 Note:

Scalable Human-Machine Point Cloud Compression

• 🧑‍🔬 Author: Mateen Ulhaq, Ivan V. Bajić
• 🏫 Affiliation: Simon Fraser University
• 🔗 Link: [Code] [arXiv:2402.12532]
• 📝 Note: 2024 PCS

Learned Point Cloud Compression for Classification

• 🧑‍🔬 Author: Mateen Ulhaq, Ivan V. Bajić
• 🏫 Affiliation: Simon Fraser University
• 🔗 Link: [Code] [arXiv:2308.05959]
• 📝 Note: IEEE MMSP 2023

💡 PCC for Rendering

Rendering-Oriented 3D Point Cloud Attribute Compression using Sparse Tensor-based Transformer

• 🧑‍🔬 Author: Xiao Huo, Junhui Hou, Shuai Wan, Fuzheng Yang
• 🏫 Affiliation: Xidian University, City University of Hong Kong, Northwestern Polytechnical University
• 🔗 Link: [Code] [arXiv:2411.07899]
• 📝 Note:

Bits-to-Photon: End-to-End Learned Scalable Point Cloud Compression for Direct Rendering

• 🧑‍🔬 Author: Yueyu Hu, Ran Gong, Yao Wang
• 🏫 Affiliation: New York University
• 🔗 Link: [Code] [arXiv:2406.05915]
• 📝 Note:

💡 Quality Assessment / Rate Control

Quality Assessment

No-reference Bitstream-based Perceptual Quality Assessment of Octree-Lifting Encoded 3D Point Clouds

• 🧑‍🔬 Author: Jianyu Lv, Honglei Su, Qi Liu, Hui Yuan
• 🏫 Affiliation: Shenzhen Institutes of Advanced Technology, Sun Yat-sen University, Shenzhen Polytechnic University, DeMonfort University
• 🔗 Link: [Code] [TVCG]
• 📝 Note:

Colored Point Cloud Quality Assessment Using Complementary Features in 3D and 2D Spaces

• 🧑‍🔬 Author: Mao Cui, Yun Zhang, Chunling Fan, Raouf Hamzaoui, Qinglan Li
• 🏫 Affiliation: Qingdao University, Shandong University
• 🔗 Link: [Code] [TMM]
• 📝 Note:

3DTA: No-Reference 3D Point Cloud Quality Assessment with Twin Attention

• 🧑‍🔬 Author: Linxia Zhu, Jun Cheng, Xu Wang, Honglei Su, Huan Yang, Hui Yuan, Jari Korhonen
• 🏫 Affiliation: Qingdao University, BYD Auto Industry Co., Ltd., Shenzhen University, Shandong University, University of Aberdeen
• 🔗 Link: [Code] [TMM]
• 📝 Note:

Zoom to Perceive Better: No-Reference Point Cloud Quality Assessment via Exploring Effective Multiscale Feature

• 🧑‍🔬 Author: Jilong Wang, Wei Gao, Ge Li
• 🏫 Affiliation: Peng Cheng Laboratory, Peking University
• 🔗 Link: [Code] [TCSVT]
• 📝 Note:

Rate Control

Content-aware Rate Control for Geometry-based Point Cloud Compression

• 🧑‍🔬 Author: Junteng Zhang, Junzhe Zhang, Wenxi Ma, Dandan Ding, Zhan Ma
• 🏫 Affiliation: Hangzhou Normal University, Nanjing University
• 🔗 Link: [Code] [TCSVT]
• 📝 Note:

Rate Control Optimization for Joint Geometry and Attribute Coding of LiDAR Point Clouds

• 🧑‍🔬 Author: Yang Wang, Wei Gao, Xingming Mu, Hang Yuan
• 🏫 Affiliation: Peking University
• 🔗 Link: [Code] [VCIP]
• 📝 Note:

Rate-Distortion Modeling for Bit Rate Constrained Point Cloud Compression

• 🧑‍🔬 Author: Pan Gao, Shengzhou Luo, Manoranjan Paul
• 🏫 Affiliation: Nanjing University of Aeronautics and Astronautics, South China Normal University, Charles Sturt University
• 🔗 Link: [Code] [TCSVT]
• 📝 Note:

💡 Point Cloud Analysis methods

Point Mamba: A Novel Point Cloud Backbone Based on State Space Model with Octree-Based Ordering Strategy

• 🧑‍🔬 Author: Jiuming Liu, Ruiji Yu, Yian Wang, Yu Zheng, Tianchen Deng, Weicai Ye, Hesheng Wang
• 🏫 Affiliation: Shanghai Jiao Tong University, Zhejiang University
• 🔗 Link: [Code] [arXiv:2403.06467]
• 📝 Note:

Dynamic Graph CNN for Learning on Point Clouds

• 🧑‍🔬 Author: Yue Wang, Yongbin Sun, Ziwei Liu, Sanjay E. Sarma, Michael M. Bronstein, Justin M. Solomon
• 🏫 Affiliation: Massachusetts Institute of Technology, UC Berkeley/ICSI, Imperial College London/USI Lugano
• 🔗 Link: [Code] [TOG]
• 📝 Note: DGCNN, 10 October 2019

👍 Acknowledgement

Thanks to the Awesome-T2I-safety-Papers.