A list of papers and datasets about point cloud analysis (processing)
SpatialLM: Training Large Language Models for Structured Indoor Modeling
nanoflann: a C++11 header-only library for Nearest Neighbor (NN) search with KD-trees
A fast and robust point cloud registration library
An Iterative Closest Point (ICP) library for 2D and 3D mapping in Robotics
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
#计算机科学#pyntcloud is a Python library for working with 3D point clouds.
[ECCV'20] Convolutional Occupancy Networks
#大语言模型#[CVPR'23] OpenScene: 3D Scene Understanding with Open Vocabularies
My awesome point cloud labeling tool
#计算机科学#A lightweight tool for labeling 3D bounding boxes in point clouds.
#计算机科学#Papers, code and datasets about deep learning for 3D Object Detection.
Python implementation of SLAM algorithm Stereo-PTAM
Virtual Sparse Convolution for Multimodal 3D Object Detection
🔥🔥🔥Official Codebase of "DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation"
Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion (CVPR 2022, Oral)
This is a package for LiDARTag, described in paper: LiDARTag: A Real-Time Fiducial Tag System for Point Clouds
#计算机科学#A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways
[ICCV '21] "Unsupervised Point Cloud Pre-training via Occlusion Completion"
Accurate, detailed, and automatic modelling of laser-scanned trees