PRBonn / point-cloud-prediction
Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks
☆151Updated 11 months ago
Alternatives and similar repositories for point-cloud-prediction:
Users that are interested in point-cloud-prediction are comparing it to the libraries listed below
- PyTorch code for training EfficientLPS for LiDAR panoptic segmentation. https://rl.uni-freiburg.de/research/lidar-panoptic☆95Updated last year
- [ECCV 2022] Dynamic 3D Scene Analysis by Point Cloud Accumulation☆129Updated last month
- Neural Scene Flow Prior (NeurIPS 2021 spotlight)☆129Updated last year
- ☆95Updated 9 months ago
- Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion (AAAI 2021)☆217Updated 3 years ago
- Implementation for Panoptic-PolarNet (CVPR 2021)☆173Updated 3 years ago
- 4D Panoptic Lidar Segmentation☆154Updated 7 months ago
- Code release for "Learning to Detect Mobile Objects from LiDAR Scans Without Labels" [CVPR 2022]☆88Updated last month
- Open3D based Semantic KITTI LiDAR dataset visualization tool☆113Updated 4 years ago
- GndNet: Fast ground plane estimation and point cloud segmentation for autonomous vehicles using deep neural networks.☆192Updated 3 years ago
- LMSCNet: Lightweight Multiscale 3D Semantic Completion. Roldão, L., de Charette, R., & Verroust-Blondet, A. International Conference on 3…☆83Updated 2 years ago
- Code for Paper "Self-Supervised LiDAR Scene Flow and Motion Segmentation"☆61Updated last year
- An extremely simple, intuitive, hardware-friendly, and well-performing network structure for LiDAR semantic segmentation on 2D range imag…☆70Updated 3 years ago
- [CVPR'23] TARL: Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving☆105Updated last year
- This job is Non-official PyTorch implementation of the Range-Point-Voxel Funsion Network for lidar point cloud segmentation.☆57Updated 2 years ago
- Code for Langer et al. "Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks", IROS, 2020.☆79Updated 8 months ago
- ☆88Updated last month
- Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions (RAL 2022)☆297Updated last week
- Creates a dense depth map from LiDAR point clouds.☆90Updated 2 years ago
- [CVPR 2021] PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds☆78Updated last year
- Learning to map in 3D☆82Updated 2 years ago
- Make it Dense: Self-Supervised Geometric Scan Completion of Sparse 3D LiDAR Scans in Large Outdoor Environments☆134Updated last year
- [CVPR 2021/TPAMI 2023] Rank 1st in the public leaderboard of SemanticKITTI Panoptic Segmentation (2020-11-16)☆245Updated 3 years ago
- LiDAR-CS Dataset☆52Updated 2 years ago
- A list of point cloud scene flow papers, codes and datasets.☆223Updated last month
- Automatic Labeling to Generate Training Data for Online LiDAR-based Moving Object Segmentation☆98Updated 2 years ago
- Official implementation of "Learning to Generate Realistic LiDAR Point Clouds" (ECCV 2022)☆138Updated 2 years ago
- [IROS 2022] Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object Segmentation☆246Updated 2 years ago
- ☆95Updated 2 years ago
- ☆71Updated 3 years ago