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awesome-learned-point-cloud-compression

A list of papers about learned point cloud compression.
https://github.com/kaiwangm/awesome-learned-point-cloud-compression

Last synced: 15 days ago
JSON representation

  • Datasets

  • Others

    • 2016

    • 2018

      • [ICIP - Frame Context-Based Octree Coding for Point-Cloud Geometry.

    • 2020

      • [IROS - Time Spatio-Temporal LiDAR Point Cloud Compression. [[Code '1](https://github.com/yaoli1992/LiDAR-Point-Cloud-Compression)] [[Code '2](https://github.com/horizon-research/Real-Time-Spatio-Temporal-LiDAR-Point-Cloud-Compression)]

    • 2021

  • Papers

    • 2016

      • [MM - based compression of dynamic 3D point cloud sequences.

    • 2018

      • [MM - based Layered Structure and Block-based Intra Prediction.

    • 2019

      • [ICIP
      • [ICRA - cloud-compression-by-RNN)]
      • [PCS - based approach.
      • [arXiv
      • [arXiv - based lossy geometry compression for point clouds. [[Code](https://github.com/YanWei123/Deep-AutoEncoder-based-Lossy-Geometry-Compression-for-Point-Clouds)]
      • [TIP
      • [TIP
      • [CMM

    • 2020

      • [ICME - Guided Network. [[Code](https://github.com/wxz1996/pc_compress)]
      • [MMSP
      • [CVPR - Structured Entropy Model for LiDAR Compression.
      • [NIPS
      • [ICIP - Based Compression Of Point Cloud Attributes. [[Code](https://github.com/mauriceqch/pcc_attr_folding)]
      • [ICIP - Based Autoencoder For Point Cloud Geometry Compression.

    • 2021

      • [TCSVT - to-End Learning.
      • [DCC - point-cloud-geometry-compression)]
      • [DCC - DCGAN: A deep learning model for 3D point cloud lossy geometry compression. [[Presentation](https://sigport.org/documents/point-ae-dcgan-deep-learning-model-3d-point-cloud-lossy-geometry-compression)]
      • [CVPR - Net: An Octree based Framework for Point Cloud Compression.
      • [ICASPP - Based Lossless Compression of 3D Point Cloud Geometry. [[Code](https://github.com/Weafre/VoxelDNN)]
      • [RAL-ICRA - point-map-compression)]
      • [arXiv
      • [TCSVT
      • [ICIP
      • [MM Asia - Based Deep Autoencoder for Point Cloud Geometry Compression. [[Code](https://github.com/I2-Multimedia-Lab/PCC_Patch)]

    • 2022

      • [TCSVT
      • [ARXIV
      • [ARXIV - Based Deep Autoencoder for Lossy Point Cloud Geometry Compression. [[Code](https://github.com/I2-Multimedia-Lab/IPDAE)]
      • [ICME - Based Dual-Branch Restoration Network for Geometry Based Point Cloud Compression Artifacts.
      • [ECCV - S)]
      • [APCCPA - Net: Geometric Residual Analysis and Synthesis for Point Cloud Compression. [[Code](https://github.com/InterDigitalInc/GRASP-Net)]
      • [AAAI - based Large-scale Context Model for Point Cloud Compression. [[Code](https://github.com/zb12138/OctAttention)]
      • [CVPR - preserving Deep Point Cloud Compression. [[Pytorch](https://github.com/yunhe20/D-PCC)]
      • [CVPR
      • [APCCPA - Based Point Cloud Compression. [[Code](https://github.com/arsx958/PCT_PCC)]
      • [CVPR - preserving Deep Point Cloud Compression. [[Code](https://github.com/yunhe20/D-PCC)]
      • [ICMR

    • 2023

      • [CVPR
      • [TMM
      • [arxiv
      • [ICASSP
      • [DCC - scale, Cross-group, and Cross-color Prediction.
      • [ICASSP
      • [ICASSP
      • [APSIPA ASC - based point cloud attribute compression using Augmented Normalizing Flows.
      • [TIP - Net: A Graph-based Quality Enhancement Network for Point Cloud Color Attribute. [[Code](https://github.com/xjr998/GQE-Net)]
      • [arixiv
      • [TIP - Lossless Compression of Point Cloud Attribute Using Quantization Parameter Cascading and Rate-Distortion Optimization.
      • [TPAMI - D Point Cloud Attribute Compression With -Laplacian Embedding Graph Dictionary Learning.
      • [TVCG - PCC Compressed Point Clouds Using Auxiliary Density Signaling. [[Code](https://github.com/3dpcc/GRNet)]
      • [CVM
      • [TMM
      • [unpublished
      • [ACM MM - frame Block.
      • [ACM MM - based Progressive Prediction Framework for Attribute Compression of 3D Point Clouds. [[Code](https://github.com/Yanggoo/PDE-basedPointCloudCompression)]
      • [ACM MM - based Point Cloud Compressor. [[Code](https://github.com/3dpcc/YOGAv1)]
      • [arxiv

    • 2024

      • [ICASSP
      • [VCIP
      • [arxiv - Conditioned Latents Probability Estimator.
      • [arxiv - Multimedia-Lab/PoLoPCAC)]
      • [TMM - Space Point Geometry Compression with Progressive Relation-Aware Transformer.
      • [ICASSP
      • [ICASSP - Guided Graph Fourier Transform.
      • [ICASSP - Based Lossless Point Cloud Geometry Compression using Sequential Slice Representation Encoding Auxiliary Information to Restore Compressed Point Cloud Geometry.
      • [IET
      • [ICASSP
      • [TVCG - Driven Approach and A Rules-Unrolling-Based Optimization.
      • [TPAMI
      • [TPAMI
      • [TCSVT - aware Rate Control for Geometry-based Point Cloud Compression.
      • [VCIP
      • [MMVE
      • [ECCV - based Residual Coding and INR-based Refinement. [[Code](https://github.com/hxu160/CRCIR_for_PCGC)]
      • [IJCAI - Performance and Extremely Low-Decoding-Latency Learned Geometry Codec for Large-Scale Point Cloud Scenes. [[Code](https://github.com/I2-Multimedia-Lab/Pointsoup)]

    • 2025

      • [CVPR - Time Neural Compression for 3D LiDAR Point Clouds. [[Code](https://github.com/NJUVISION/RENO)]
      • [RA-L - PCC: Point Cloud Compression With Hybrid Mode Selection and Content Adaptive Down-Sampling.
      • [TII
      • [TCSVT - Driven Attention-Based Entropy Model for LiDAR Point Cloud Compression.
      • [CVM - GAN: A sparse-tensor-based generative adversarial network for 3D point cloud attribute compression.
      • [TIP
      • [TIP - Aware Generative Point Cloud Compression for Visual Perception.
      • [AAAI - Distortion-Complexity Optimization for Dynamic Point Cloud Compression.
      • [AAAI
      • [ACM TOMM
      • [RA-L - Aware Deep Point Cloud Compression. [[Code](https://github.com/LTU-RAI/sga-dpcc.git)]
Programming Languages
C++ 3
Categories
Papers 87 Others 10 Datasets 6
Sub Categories
2023 20 2024 18 2021 17 2022 12 2025 11 2019 8 2016 8 2020 7 2018 2
Keywords
point-cloud 1 mesh 1 compression 1 3d-graphics 1