awesome-deep-point-cloud-compression

You will be very welcome to make PR and contribute!! 😄

Keywords

lid.: LiDAR vcon.: Voxel CNN oct.: Octree pnet.: PointBase-Net dyn.: Dynamic 3D point cloud

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

[ICIP] [vcon.] 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] [vcon.] Learned point cloud geometry compression.
[arXiv] [pnet.] Deep autoencoder-based lossy geometry compression for point clouds. [Tensorflow]
[CMM] [pnet.] 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.

[ICME] [oct.] Lossy Geometry Compression Of 3d Point Cloud Data Via An Adaptive Octree-Guided Network. [Tensorflow]
[MMSP] [vcon.] Improved Deep Point Cloud Geometry Compression. [Tensorflow]
[CVPR] [oct.] OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression.
[NIPS] [oct.] MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models.
[ICIP] Folding-Based Compression Of Point Cloud Attributes. [Tensorflow]

[TCSVT] Lossy Point Cloud Geometry Compression via End-to-End Learning.
[DCC] [vcon.] Multiscale Point Cloud Geometry Compression. [Pytorch] [Presentation]
[DCC] Point AE-DCGAN: A deep learning model for 3D point cloud lossy geometry compression. [Presentation]
[CVPR] [oct.] [lid.] [dyn.] 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.
[ICIP] Point Cloud Geometry Compression Via Neural Graph Sampling.

[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.
[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] [dyn.] Real-time compression of point cloud streams.

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

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

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

[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.