Stars
A project demonstrating how to use CUDA-PointPillars to deal with cloud points data from lidar.
deep learning for image processing including classification and object-detection etc.
C++ library based on tensorrt integration
Quick and Self-Contained TensorRT Custom Plugin Implementation and Integration
FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry
A fast and robust global registration library for outdoor LiDAR point clouds.
[CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration
[IEEE RAL] Fast and Robust Registration of Partially Overlapping Point Clouds in Driving Applications
houyongkuo / D3Feat.pytorch
Forked from XuyangBai/D3Feat.pytorch[PyTorch] Official Implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features https://arxiv.org/abs/2003.03164
Project page of the paper "Learning general and distinctive 3D local deep descriptors for point cloud registration" published in IEEE T-PAMI
[CVPR 2021] SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration
Differential Gaussian Rasterization with Depth forward and backward functionality
[ICRA 2022] The official repository for "LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition", In 2022 International Conference on Robotics and Automation (ICRA), pp. 221…
SE(3)-Equivariant Point Cloud-based Place Recognition
Official implementation of the paper A-Scan2BIM: Assistive Scan to Building Information Modeling
neuralsim: 3D surface reconstruction and simulation based on 3D neural rendering.
LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields
[CVPR 2024] Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering
LiDAR degeneracy dataset for LiDAR-radar-inertial fusion methods.
A detailed formulae explanation on gaussian splatting
Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies
Production-grade 3D gaussian splatting with CPU/GPU support for Windows, Mac and Linux 🚀
A SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on Quatro and Nano-GICP
[ECCV'24] Online Vectorized HD Map Construction using Geometry
iG-LIO: An Incremental GICP-based Tightly-coupled LiDAR-inertial Odometry
Visual localization made easy with hloc
Official Repo of NeurIPS '21: "Trust, but Verify: Cross-Modality Fusion for HD Map Change Detection"
OpenMMLab Detection Toolbox and Benchmark