ika-rwth-aachen / Point-Cloud-Compression
[IV2022] Implements a deep RNN based Point Cloud Compression approach for Velodyne Point Clouds. Reference implementation of corresponding IEEE IV22 paper.
☆49Updated 9 months ago
Alternatives and similar repositories for Point-Cloud-Compression:
Users that are interested in Point-Cloud-Compression are comparing it to the libraries listed below
- R-PCC: A Baseline for Range Image-based Point Cloud Compression☆32Updated 2 years ago
- ☆95Updated 2 years ago
- Source code of our paper: PointINet: Point Cloud Frame Interpolation Network☆34Updated 4 years ago
- This is a compression technique that targets for LiDAR-generated point cloud☆139Updated last year
- Implementation of Point Cloud Compression for 3D LiDAR Sensor using Recurrent Neural Network with Residual Blocks☆34Updated 5 years ago
- A list of papers about deep point cloud compression.☆105Updated 6 months ago
- Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks☆149Updated 11 months ago
- modify from https://github.com/horizon-research/Real-Time-Spatio-Temporal-LiDAR-Point-Cloud-Compression☆29Updated 4 years ago
- deep-learning based point cloud compression methods.☆25Updated 3 years ago
- [ICRA 2025] Real-Time LiDAR Point Cloud Compression and Transmission for Resource-constrained Robots☆16Updated 6 months ago
- Pointfilter: Point Cloud Filtering via Encoder-Decoder Modeling☆59Updated 3 years ago
- 🌷 TULIP: Transformer for Upsampling of LiDAR Point Clouds (CVPR 2024)☆41Updated 3 months ago
- This is the official PyTorch implementation of our paper "Density-preserving Deep Point Cloud Compression" (CVPR 2022).☆69Updated last year
- Point Cloud Geometry Compression☆43Updated 2 years ago
- An extremely simple, intuitive, hardware-friendly, and well-performing network structure for LiDAR semantic segmentation on 2D range imag…☆70Updated 3 years ago
- Matlab code for PointCloud Octree Compression☆18Updated 3 years ago
- (3DV 2021) A High-fidelity 128-channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-modal Autonomous Driving A…☆39Updated last week
- The official implementation of 4DenoiseNet☆53Updated 2 years ago
- Self-supervised method for scene-flow estimation of LiDAR point clouds. Method is trained and tested on the nuScenes and KITTI datasets i…☆64Updated 2 years ago
- Dense-Resolution Network for Point Cloud Classification and Segmentation (WACV 2021)☆35Updated 3 years ago
- Learning to map in 3D☆80Updated 2 years ago
- ☆46Updated 2 years ago
- Multiscale Point Cloud Compression☆26Updated 4 years ago
- LiSnowNet: Real-time Snow Removal for LiDAR Point Cloud☆35Updated 4 months ago
- Using the KITTI dataset, we employed Open3D to visualize, downsample, segment with RANSAC, cluster via DBSCAN, create 3D bounding boxes, …☆56Updated last year
- Code for Langer et al. "Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks", IROS, 2020.☆79Updated 8 months ago
- ☆18Updated 3 years ago
- A non-learning geometry-based LiDAR depth completion model with components including outlier removal, normal calculation, distance transf…☆46Updated 3 years ago
- [ICCV 2021] HRegNet: A Hierarchical Network for Large-scale Outdoor LiDAR Point Cloud Registration☆100Updated last year
- Get some nice plots with statistics about the Semantic KITTI dataset☆25Updated 2 years ago