charlesChen02 / RandLA-pytorch
Improved pytorch implementation of RandLA (https://arxiv.org/abs/1911.11236) with easier transferability and reproductibility
☆15Updated 2 years ago
Alternatives and similar repositories for RandLA-pytorch:
Users that are interested in RandLA-pytorch are comparing it to the libraries listed below
- [ICRA 2024] PCB-RandNet: Rethinking Random Sampling for LiDAR Semantic Segmentation in Autonomous Driving Scene☆25Updated last year
- ☆50Updated 4 years ago
- ☆14Updated 2 years ago
- An efficient 3D semantic segmentation framework for Urban-scale point clouds like SensatUrban, Campus3D, etc.☆75Updated 3 years ago
- Improving performance of deep learning models for 3D point cloud semantic segmentation via attention mechanisms☆16Updated 2 years ago
- ☆9Updated last year
- Code for "FPS-Net: A convolutional fusion network for large-scale LiDAR point cloud segmentation".☆21Updated last year
- A collection of annotation tools for LiDAR Point Cloud. There are 3D Object Detection directions, and Semantic Segmentation.☆29Updated last year
- [ICME 2022] CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving☆105Updated last year
- GeoSegNet:Point Cloud Semantic Segmentation via Geometric Encoder-Decoder Modeling☆12Updated last year
- PointNet++ semantic segmentation on Swiss3DCities benchmark☆13Updated 3 years ago
- (CVPR 2023) The official project of "3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds…☆109Updated last year
- Official PyTorch implementation of the NeurIPS2022 paper "PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds"☆70Updated last year
- This job is Non-official PyTorch implementation of the Range-Point-Voxel Funsion Network for lidar point cloud segmentation.☆56Updated 2 years ago
- ☆27Updated 2 weeks ago
- Scribble-Supervised LiDAR Semantic Segmentation, CVPR 2022 (ORAL)☆150Updated 4 months ago
- A training dataset for semantic segmentation of urban point cloud map for intelligent vehicles☆7Updated last year
- Pyramid Point Cloud Transformer for Large-Scale Place Recognition☆50Updated 3 years ago
- [CVPR2021] SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation☆81Updated last year
- [TMLR 2022] Geometric Flow Network for 3D Point Cloud Semantic Segmentation☆39Updated 2 years ago
- RandLA-Net改进版☆38Updated 2 years ago
- SQN in Tensorflow (ECCV'2022)☆108Updated last year
- 🔥(CVPR 2023) Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation☆91Updated 7 months ago
- a large-scale building facade point clouds☆19Updated 2 years ago
- Learning Inter-Superpoint Affinity for Weakly Supervised 3D Instance Segmentation☆22Updated 2 years ago
- ☆19Updated last year
- Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)☆132Updated 2 years ago
- ☆28Updated 5 months ago
- Official PyTorch implementation of the ECCV 2022 paper "CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation…☆64Updated 11 months ago
- ☆67Updated 3 years ago