UMich-CURLY / 3DMapping
Learning to map in 3D
☆84Updated 2 years ago
Alternatives and similar repositories for 3DMapping
Users that are interested in 3DMapping are comparing it to the libraries listed below
Sorting:
- [CVPR'23] TARL: Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving☆105Updated last year
- LMSCNet: Lightweight Multiscale 3D Semantic Completion. Roldão, L., de Charette, R., & Verroust-Blondet, A. International Conference on 3…☆83Updated 2 years ago
- Mask-Based Panoptic LiDAR Segmentation for Autonomous Driving, RA-L, 2023☆59Updated last year
- ☆88Updated 2 months ago
- [ECCV'24] SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving☆94Updated 2 months ago
- (3DV 2021) A High-fidelity 128-channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-modal Autonomous Driving A…☆40Updated last month
- Official implementation: ICP-Flow: LiDAR Scene Flow Estimation with ICP (CVPR 2024).☆101Updated 2 weeks ago
- Mask4D: End-to-End Mask-Based 4D Panoptic Segmentation for LiDAR Sequences, RA-L, 2023☆64Updated 9 months ago
- Make it Dense: Self-Supervised Geometric Scan Completion of Sparse 3D LiDAR Scans in Large Outdoor Environments☆135Updated last year
- Official implement for paper "OctreeOcc: Efficient and Multi-Granularity Occupancy Prediction Using Octree Queries"☆101Updated last year
- ☆30Updated last year
- This repository is the latest model version corresponding to the paper 3DSFLabeling: Boosting 3D Scene Flow Estimation by Pseudo Auto Lab…☆32Updated 11 months ago
- [ECCV 2022] Dynamic 3D Scene Analysis by Point Cloud Accumulation☆129Updated 2 months ago
- Occ4cast: LiDAR-based 4D Occupancy Completion and Forecasting☆137Updated 7 months ago
- A codebase for point cloud scene flow estimation research. Latest works: Flow4D(RA-L'25), SSF(ICRA'25), SeFlow(ECCV'24), DeFlow(ICRA'24)☆48Updated last month
- The codes for CVPR2021 Oral paper 'SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud based Place Recognition'☆39Updated 3 years ago
- 🌷 TULIP: Transformer for Upsampling of LiDAR Point Clouds (CVPR 2024)☆47Updated 5 months ago
- An extremely simple, intuitive, hardware-friendly, and well-performing network structure for LiDAR semantic segmentation on 2D range imag…☆72Updated 3 years ago
- PCPNet: An Efficient and Semantic-Enhanced Transformer Network for Point Cloud Prediction.☆31Updated last year
- ☆29Updated last year
- BSH-Det3D: Improving 3D Object Detection with BEV Shape Heatmap☆38Updated last year
- Implementation of the FastFlow3D architecture for scene flow estimation from LiDAR point clouds in PyTorch using PyTorch Lightning.☆35Updated 2 years ago
- Automatic Labeling to Generate Training Data for Online LiDAR-based Moving Object Segmentation☆98Updated 2 years ago
- [AAAI 2024] NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields☆91Updated last year
- Official implementation of MV-Map: Offboard HD-Map Generation with Multi-view Consistency☆97Updated last year
- LiDAR-CS Dataset☆53Updated 2 years ago
- 3D LiDAR Mapping in Dynamic Environments using a 4D Implicit Neural Representation (CVPR 2024)☆161Updated 10 months ago
- Contrastive Instance Association for 4D Panoptic Segmentation using Sequences of 3D LiDAR Scans☆49Updated 2 years ago
- ☆20Updated 6 months ago
- Self-supervised Learning of LiDAR 3D PointClouds via 2D-3D Neural Calibration☆43Updated 8 months ago