A list of papers about learned point cloud compression.
☆139Aug 3, 2026Updated 2 months ago
Alternatives and similar repositories for awesome-learned-point-cloud-compression
Users that are interested in awesome-learned-point-cloud-compression are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Sparse Tensor-based Multiscale Representation for Point Cloud Geometry Compression☆101Dec 6, 2024Updated last year
- Multiscale Point Cloud Geometry Compression☆114Sep 4, 2023Updated 3 years ago
- Soruce code of OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression☆114Dec 3, 2024Updated last year
- Point Cloud Compression with Implicit Neural Representations: A Unified Framework☆18Oct 22, 2025Updated last year
- Learned Compression of Point Cloud Geometry and Attributes in a Single Model through Multimodal Rate-Control☆10Apr 1, 2026Updated 7 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- List of learning-based PCC papers, welcome Pull Requests!☆25Nov 4, 2025Updated 11 months ago
- [CVPR 2025] RENO: Real-Time Neural Compression for 3D LiDAR Point Clouds☆59Jun 19, 2025Updated last year
- This is the official PyTorch implementation of our paper "Density-preserving Deep Point Cloud Compression" (CVPR 2022).☆75Apr 25, 2023Updated 3 years ago
- ☆25Dec 9, 2023Updated 2 years ago
- Geometry based point cloud compression (G-PCC) Test Model (encoder and decoder)☆262Oct 20, 2023Updated 3 years ago
- Instituto de Telecomunicações Deep Learning-based Point Cloud Codec☆11Jun 18, 2024Updated 2 years ago
- Official Implementation of "NeRI: Implicit Neural Representation Of LiDAR Point Cloud Using Range Image Sequence"☆14Mar 7, 2024Updated 2 years ago
- [IJCAI 2024] Pointsoup: High-Performance and Extremely Low-Decoding-Latency Learned Geometry Codec for Large-Scale Point Cloud Scenes☆21Sep 23, 2024Updated 2 years ago
- [ECCV2022] Point Cloud Compression with Sibling Context and Surface Priors☆29Aug 19, 2022Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- The codes of D-DPCC: Deep Dynamic Point Cloud Compression via 3D Motion Prediction.☆42Jul 3, 2025Updated last year
- Improved Deep Point Cloud Geometry Compression☆78Feb 6, 2026Updated 8 months ago
- Implementation of Point Cloud Compression for 3D LiDAR Sensor using Recurrent Neural Network with Residual Blocks☆35May 28, 2019Updated 7 years ago
- Pytorch implementation of the paper "Multiscale deep context modeling for lossless pointcloud geometry compression"☆21Jun 7, 2021Updated 5 years ago
- This is the official code for the our paper "SCP: Spherical-Coordinate-based Learned Point Cloud Compression"☆32May 26, 2025Updated last year
- Point Cloud Attribute Compression with Sparse Convolution and Voxel Transformer☆27Jun 18, 2024Updated 2 years ago
- ☆10Aug 9, 2026Updated 2 months ago
- Source code of "GRASP-Net: Geometric Residual Analysis and Synthesis for Point Cloud Compression"☆33Sep 20, 2022Updated 4 years ago
- (ACM MM ASIA 2021) Patch-Based Deep Autoencoder for Point Cloud Geometry Compression.☆32Apr 13, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- [IV2022] Implements a deep RNN based Point Cloud Compression approach for Velodyne Point Clouds. Reference implementation of correspondin…☆60Jun 25, 2024Updated 2 years ago
- Fast convolutional Point Cloud Compression in our ICME 2023, TMM 2025, and ECCV 2026 papers☆28Jul 14, 2026Updated 3 months ago
- the Pytorch implementation for our ICMR 2022 paper "TransPCC: Towards Deep Point Cloud Compression via Transformers"☆14Apr 15, 2022Updated 4 years ago
- This is a compression technique that targets for LiDAR-generated point cloud☆161Apr 30, 2023Updated 3 years ago
- [CVPR 2025] This is the official PyTorch implementation of our paper "TopNet: Transformer-Efficient Occupancy Prediction Network for Octr…☆33Aug 16, 2025Updated last year
- ☆17Oct 29, 2024Updated 2 years ago
- [Under Review] Efficient and Generic Point Model for Lossless Point Cloud Attribute Compression☆39Apr 11, 2024Updated 2 years ago
- Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds.☆19Dec 2, 2020Updated 5 years ago
- [official] DCC 2024: Lightweight super resolution network for point cloud geometry compression☆23May 16, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆15Oct 20, 2022Updated 4 years ago
- [CVPR 2026] Official Implementation for "AnyPcc: Compressing Any Point Cloud with a Single Universal Model"☆30Aug 11, 2026Updated 2 months ago
- PccAI is a framework for AI-based point cloud compression☆34Apr 14, 2025Updated last year
- Point Cloud Geometry Compression☆45Nov 22, 2022Updated 3 years ago
- ☆102Feb 13, 2023Updated 3 years ago
- R-PCC: A Baseline for Range Image-based Point Cloud Compression☆38Apr 16, 2022Updated 4 years ago
- ☆17Jul 18, 2024Updated 2 years ago