point-cloud-compression
Here are 9 public repositories matching this topic...
This is a compression technique that targets for LiDAR-generated point cloud
- Updated
Apr 30, 2023 - C++
Soruce code of OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression
- Updated
Dec 3, 2024 - Python
[official] DCC 2024: Lightweight super resolution network for point cloud geometry compression
- Updated
Mar 17, 2025 - Python
[MMSP 2023, PCS 2024]
- Updated
Feb 22, 2024 - Python
(ACM MM 2022 Workshop APCCPA) IPDAE: Improved Patch-Based Deep Autoencoder for Lossy Point Cloud Geometry Compression.
- Updated
Mar 15, 2024 - Python
[official] PCC: TIP 2024-Hierarchical Prior-based Super Resolution for Point Cloud Geometry Compression; VCIP 2022-Near-lossless Point Cloud Geometry Compression Based on Adaptive Residual Compensation; ...
- Updated
Oct 18, 2023 - C++
The code of "Att2CPC: Attention-Guided Lossy Attribute Compression of Point Clouds"
- Updated
Oct 25, 2024 - Python
[CVPR 2025] This is the official PyTorch implementation of our paper "TopNet: Transformer-Efficient Occupancy Prediction Network for Octree-Structured Point Cloud Geometry Compression"
- Updated
Mar 3, 2025
Benchmark of compressing sequential point clouds
- Updated
May 13, 2024 - Python
Improve this page
Add a description, image, and links to thepoint-cloud-compression topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with thepoint-cloud-compression topic, visit your repo's landing page and select "manage topics."