astra-vision / LMSCNet
LMSCNet: Lightweight Multiscale 3D Semantic Completion. Roldão, L., de Charette, R., & Verroust-Blondet, A. International Conference on 3D Vision (3DV). 2020
☆83Updated 2 years ago
Alternatives and similar repositories for LMSCNet:
Users that are interested in LMSCNet are comparing it to the libraries listed below
- [ECCV 2022] Dynamic 3D Scene Analysis by Point Cloud Accumulation☆129Updated last month
- Neural Scene Flow Prior (NeurIPS 2021 spotlight)☆127Updated last year
- PyTorch code for training EfficientLPS for LiDAR panoptic segmentation. https://rl.uni-freiburg.de/research/lidar-panoptic☆95Updated last year
- Learning to map in 3D☆80Updated 2 years ago
- Python partial re-implementation of accumuLaser in python from the KITTI360 devkits to recover label of individual pointclouds from aggre…☆28Updated 3 years ago
- Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion (AAAI 2021)☆216Updated 3 years ago
- ☆67Updated 3 years ago
- Implementation for Panoptic-PolarNet (CVPR 2021)☆172Updated 3 years ago
- This is the code related to "Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds" …☆37Updated 2 years ago
- SCPNet: Semantic Scene Completion on Point Cloud (CVPR 2023, Highlight)☆116Updated last year
- Code release for "Learning to Detect Mobile Objects from LiDAR Scans Without Labels" [CVPR 2022]☆88Updated 3 weeks ago
- This job is Non-official PyTorch implementation of the Range-Point-Voxel Funsion Network for lidar point cloud segmentation.☆56Updated 2 years ago
- 4D Panoptic Lidar Segmentation☆154Updated 6 months ago
- [ICCV 2021] HRegNet: A Hierarchical Network for Large-scale Outdoor LiDAR Point Cloud Registration☆100Updated last year
- Code for Paper "Self-Supervised LiDAR Scene Flow and Motion Segmentation"☆61Updated last year
- ☆95Updated 8 months 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
- ALSO: Automotive Lidar Self-supervision by Occupancy estimation☆173Updated last year
- Official implementation of MV-Map: Offboard HD-Map Generation with Multi-view Consistency☆97Updated last year
- [ECCV 2022] SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud☆145Updated 2 years ago
- Codes for ECCV2022 paper "What matters in supervised 3D scene flow"☆43Updated 2 years ago
- Official implement for paper "OctreeOcc: Efficient and Multi-Granularity Occupancy Prediction Using Octree Queries"☆99Updated last year
- ☆71Updated 3 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
- Sparse2Dense: Learning to Densify 3D Features for 3D Object Detection (NeurIPS 2022)☆73Updated 2 years ago
- (IEEE TIV) A Comprehensive Framework for 3D Occupancy Estimation in Autonomous Driving☆210Updated 3 months ago
- Code for LIGA-Stereo Detector, ICCV'21☆92Updated 3 years ago
- Fast Neural Scene Flow (ICCV 2023)☆74Updated 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
- [CVPR'23] TARL: Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving☆105Updated last year