Pinned Repositories
3D-point-cloud-generation
Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction :grapes: (AAAI 2018)
3d-tiles
Specification for streaming massive heterogeneous 3D geospatial datasets :earth_americas:
3dgsconverter
3D Gaussian Splatting Converter: A tool to seamlessly convert 3DGS .ply files to a Cloud Compare-friendly format and vice-versa. Features include RGB coloring, density filtering, and flyer removal for enhanced point cloud editing.
A-LOAM
Advanced implementation of LOAM
aeplanner
An autonomous exploration planner for large scale 3D environments
aerial_gym_simulator
Aerial Gym - IsaacGym Simulator for Aerial Robots
agile_autonomy
Repository Containing the Code associated with the Paper: "Learning High-Speed Flight in the Wild"
AliceVision
Photogrammetric Computer Vision Framework
apm_planner
APM Planner Ground Control Station (Qt)
Auto-Car-03-SLAM-00-Algorithms
Algorithm tutorial for visual SLAM
bluestupidyu's Repositories
bluestupidyu/mageslam
A lightweight monocular SLAM written in C++
bluestupidyu/CloudCompare
CloudCompare main repository
bluestupidyu/3d-tiles
Specification for streaming massive heterogeneous 3D geospatial datasets :earth_americas:
bluestupidyu/openMVG
open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.
bluestupidyu/PythonRobotics
Python sample codes for robotics algorithms.
bluestupidyu/Point-GNN
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud, CVPR 2020.
bluestupidyu/mvs-texturing
Algorithm to texture 3D reconstructions from multi-view stereo images
bluestupidyu/mve
Multi-View Environment
bluestupidyu/glTF-SDK
glTF-SDK is a C++ Software Development Kit for glTF (GL Transmission Format -https://github.com/KhronosGroup/glTF).
bluestupidyu/caffe-yolov3
A real-time object detection framework of Yolov3/v4 based on caffe
bluestupidyu/Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
bluestupidyu/EPnP
EPnP: Efficient Perspective-n-Point Camera Pose Estimation
bluestupidyu/Fast-Planner
A Robust and Efficient Trajectory Planner for Quadrotors
bluestupidyu/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
bluestupidyu/MVSNet
MVSNet (ECCV2018) & R-MVSNet (CVPR2019)
bluestupidyu/GL3D
GL3D (Geometric Learning with 3D Reconstruction): a large-scale database created for 3D reconstruction and geometry-related learning problems
bluestupidyu/A-LOAM
Advanced implementation of LOAM
bluestupidyu/geogrid
Turning geospatial polygons into regular or hexagonal grids. For other similar functionality see the tilemaps package https://github.com/kaerosen/tilemaps
bluestupidyu/O-CNN
O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis
bluestupidyu/awesome-nn-slam
SLAM algorithms and systems based on Neural Networks.
bluestupidyu/decentralized_loam
bluestupidyu/loam_livox
A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR
bluestupidyu/pcl
Point Cloud Library (PCL)
bluestupidyu/pytorch3d
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
bluestupidyu/awesome_3DReconstruction_list
A curated list of papers & resources linked to 3D reconstruction from images.
bluestupidyu/nbvplanner
A real-time capable exploration and inspection path planner (next best view planning)
bluestupidyu/CMVS-PMVS
This software (CMVS) takes the output of a structure-from-motion (SfM) software as input, then decomposes the input images into a set of image clusters of managable size. An MVS software can be used to process each cluster independently and in parallel, where the union of reconstructions from all the clusters should not miss any details that can be otherwise obtained from the whole image set. CMVS should be used in conjunction with an SfM software Bundler and an MVS software PMVS2 (PMVS version 2).
bluestupidyu/CppCoreGuidelines
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
bluestupidyu/yolt
You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery
bluestupidyu/gtsam
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.