xiaoaoran / SynLiDARLinks
SynLiDAR: Synthetic LiDAR sequential point cloud dataset with point-wise annotations (AAAI2022)
☆136Updated last year
Alternatives and similar repositories for SynLiDAR
Users that are interested in SynLiDAR are comparing it to the libraries listed below
Sorting:
- (CVPR 2023) The official project of "3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds…☆112Updated last year
- ☆95Updated 10 months ago
- Official PyTorch implementation of the NeurIPS2022 paper "PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds"☆72Updated 2 years ago
- 🔥(CVPR 2023) Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation☆94Updated 9 months ago
- Scribble-Supervised LiDAR Semantic Segmentation, CVPR 2022 (ORAL)☆151Updated 6 months ago
- [CVPR'23] TARL: Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving☆105Updated last year
- Official PyTorch implementation of the ECCV 2022 paper "CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation…☆64Updated last year
- ☆91Updated last year
- SCPNet: Semantic Scene Completion on Point Cloud (CVPR 2023, Highlight)☆123Updated 2 years ago
- This job is Non-official PyTorch implementation of the Range-Point-Voxel Funsion Network for lidar point cloud segmentation.☆57Updated 2 years ago
- [ECCV 2022] Open-world Semantic Segmentation for LIDAR Point Clouds☆73Updated 2 years ago
- Bridging lidar and text through image intermediaries☆89Updated last year
- [ECCV 2022] Dynamic 3D Scene Analysis by Point Cloud Accumulation☆130Updated 3 months ago
- 4D Panoptic Lidar Segmentation☆154Updated 8 months ago
- Code release for "Learning to Detect Mobile Objects from LiDAR Scans Without Labels" [CVPR 2022]☆89Updated last month
- Code for Langer et al. "Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks", IROS, 2020.☆79Updated 10 months ago
- Code for "FPS-Net: A convolutional fusion network for large-scale LiDAR point cloud segmentation".☆22Updated last year
- [ICME 2022] CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving☆108Updated last year
- Domain adaptation for LIDAR resource list☆35Updated 3 years ago
- Official PyTorch implementation of "Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data"☆200Updated 2 months ago
- Official repository for TPAMI2024 "A Survey of Label-Efficient Deep Learning for 3D Point Clouds"☆59Updated 2 years ago
- BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds - Official PyTorch implementation☆78Updated last year
- Code for the paper "Masked Autoencoders for Self-Supervised Learning on Automotive Point Clouds"☆78Updated 2 years ago
- [ECCV 2022] LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection☆111Updated 2 years ago
- Implementation for Panoptic-PolarNet (CVPR 2021)☆174Updated 4 years ago
- 50%+ Faster Cylinder3D, compatible with current PyTorch, CUDA, and Spconv versions☆50Updated 7 months ago
- PyTorch code for training EfficientLPS for LiDAR panoptic segmentation. https://rl.uni-freiburg.de/research/lidar-panoptic☆96Updated last year
- The official implementation of "Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation" (RA-L with IROS …☆47Updated 2 years ago
- This is the code related to "Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds" …☆38Updated 2 years ago
- ALSO: Automotive Lidar Self-supervision by Occupancy estimation☆174Updated last year