A list of papers and datasets about point cloud analysis (processing)
#大语言模型#[CVPR'23] OpenScene: 3D Scene Understanding with Open Vocabularies
Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation (CVPR 2022)
[ROS package] Lightweight and Accurate Point Cloud Clustering
#计算机科学#A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways
#计算机科学#[CVPR'22 Best Paper Finalist] Official PyTorch implementation of the method presented in "Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation"
#计算机科学#GndNet: Fast ground plane estimation and point cloud segmentation for autonomous vehicles using deep neural networks.
Free and open source semantic segmentation of 3D point clouds, fast and memory efficient.
The official repository of Achelous and Achelous++
Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."
[IROS 23] InsMOS: Instance-Aware Moving Object Segmentation in LiDAR Data
Linked Dynamic Graph CNN: Learning through Point Cloud by Linking Hierarchical Features
The research project based on Semantic KITTTI dataset, 3d Point Cloud Segmentation , Obstacle Detection
Minimum code needed to run Autoware multi-object tracking
#计算机科学#Semantic Segmentation of Images and Point Clouds for Traversability Estimation
Semantic 3D Reconstruction with Learning MVS and 2D Segmentation of Aerial Images, Applied Sciences 2021
Point-Unet: A Context-aware Point-based Neural Network for Volumetric Segmentation (MICCAI 2021)
#计算机科学#Deep Learning for Computer Vision 深度學習於電腦視覺 by Frank Wang 王鈺強
3D Human Part Segmentation with Point Transformer