A list of papers and datasets about point cloud analysis (processing)
[CVPR'23] OpenScene: 3D Scene Understanding with Open Vocabularies
Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation (C...
Official PyTorch implementation of Superpoint Transformer introduced in ...
[ROS package] Lightweight and Accurate Point Cloud Clustering
[CVPR'22 Best Paper Finalist] Official PyTorch implementation of the met...
A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Ro...
GndNet: Fast ground plane estimation and point cloud segmentation for au...
Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for G...
[IROS23] InsMOS: Instance-Aware Moving Object Segmentation in LiDAR Data
Linked Dynamic Graph CNN: Learning through Point Cloud by Linking Hierar...
The research project based on Semantic KITTTI dataset, 3d Point Cloud Se...
Minimum code needed to run Autoware multi-object tracking
Semantic 3D Reconstruction with Learning MVS and 2D Segmentation of Aeri...