/awesome-deep-point-cloud-compression

A list of papers about deep point cloud compression.

awesome-deep-point-cloud-compression

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Papers

2016

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

2018

  • [MM] Hybrid Point Cloud Attribute Compression Using Slice-based Layered Structure and Block-based Intra Prediction.

2019

  • [ICIP] Learning Convolutional Transforms for Lossy Point Cloud Geometry Compression. [Tensorflow]

  • [ICRA] Point Cloud Compression for 3D LiDAR Sensor using Recurrent Neural Network with Residual Blocks. [PyTorch]

  • [PCS] Point cloud coding: Adopting a deep learning-based approach.

  • [arXiv] Learned point cloud geometry compression.

  • [arXiv] Deep autoencoder-based lossy geometry compression for point clouds. [Tensorflow]

  • [CMM] 3d point cloud geometry compression on deep learning.

  • [TIP] A Volumetric Approach to Point Cloud Compression—Part I: Attribute Compression.

  • [TIP] A Volumetric Approach to Point Cloud Compression–Part II: Geometry Compression.

2020

  • [ICME] Lossy Geometry Compression Of 3d Point Cloud Data Via An Adaptive Octree-Guided Network. [Tensorflow]

  • [MMSP] Improved Deep Point Cloud Geometry Compression. [Tensorflow]

  • [CVPR] OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression.

  • [NIPS] MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models.

  • [ICIP] Folding-Based Compression Of Point Cloud Attributes. [Tensorflow]

2021

  • [TCSVT] Lossy Point Cloud Geometry Compression via End-to-End Learning.

  • [DCC] Multiscale Point Cloud Geometry Compression. [Pytorch] [Presentation]

  • [DCC] Point AE-DCGAN: A deep learning model for 3D point cloud lossy geometry compression. [Presentation]

  • [CVPR] VoxelContext-Net: An Octree based Framework for Point Cloud Compression.

  • [ICASPP] Learning-Based Lossless Compression of 3D Point Cloud Geometry. [Tensorflow]

  • [RAL-ICRA] Deep Compression for Dense Point Cloud Maps. [Pytorch]

  • [arXiv] Multiscale deep context modeling for lossless point cloud geometry compression. [Pytorch]

  • [TCSVT] Lossless Coding of Point Cloud Geometry using a Deep Generative Model. [Tensorflow]

  • [ICIP] Point Cloud Geometry Compression Via Neural Graph Sampling.

2022

  • [AAAI] OctAttention: Octree-based Large-scale Context Model for Point Cloud Compression. [Pytorch]

Non-Deep Learning Methods and Library

  • [Draco] Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.

  • [MPEG V-PCC] MPEG Video codec based point cloud compression (V-PCC) test model (tmc2).

  • [MPEG G-PCC] MPEG Geometry based point cloud compression (G-PCC) test model (tmc13).

  • [CAS '18] Emerging MPEG Standards for Point Cloud Compression.

  • [EG '06] Octree-based point-cloud compression.

  • [ICRA '12] Real-time compression of point cloud streams.

2016

  • [MM] Compression of 3D Point Clouds Using a Region-Adaptive Hierarchical Transform.

2018

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

2020

  • [IROS] Real-Time Spatio-Temporal LiDAR Point Cloud Compression. [C++ '1] [C++ '2]

2021

  • [TCSVT] Lossy Point Cloud Geometry Compression via Region-wise Processing.

Datasets

  • [KITTI] The KITTI Vision Benchmark Suite.

  • [ShapeNet] A collaborative dataset between researchers at Princeton, Stanford and TTIC.

  • [ModelNet] ModelNet Database.

  • [JPEG Pleno] JPEG Pleno Database.

  • [MVUB] Microsoft Voxelized Upper Bodies dataset.