hengwangzhao
I‘m hengwang zhao, a Ph. D student in Shanghai Jiao Tong University.
Shanghai Jiao Tong UniversityShanghai, China
hengwangzhao's Stars
xiaohulugo/3DLineDetection
A simple and efficient 3D line detection algorithm for large scale unorganized point cloud
XiaoBaiiiiii/colmap-pcd
Image-to-point cloud Registration Tool
junshengzhou/VP2P-Match
[NeurIPS'2023 Spotlight]: Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching
neufieldrobotics/MultiCamSLAM
MisterBooo/LeetCodeAnimation
Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)
WinterCodeForEverything/SARNet
code for 《SARNet: Semantic Augmented Registration of Large-Scale Urban Point Clouds》
hyye/dsl
Implementation of Monocular Direct Sparse Localization in a Prior 3D Surfel Map (DSL)
tum-vision/tandem
[CoRL 21'] TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo
gmberton/geo_warp
Official repository of ICCV21 paper "Viewpoint Invariant Dense Matching for Visual Geolocalization"
haoyu94/Coarse-to-fine-correspondences
PyTorch implementation of NeurIPS 2021 paper: "CoFiNet: Reliable Coarse-to-fine Correspondences for Robust Point Cloud Registration"
lijx10/DeepI2P
DeepI2P: Image-to-Point Cloud Registration via Deep Classification. CVPR 2021
HpWang-whu/YOHO
[ACM MM 2022] You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors
fabiopoiesi/gedi
Project page of the paper "Learning general and distinctive 3D local deep descriptors for point cloud registration" published in IEEE T-PAMI
humanpose1/MS-SVConv
Compute descriptors for 3D point cloud registration using a multi scale sparse voxel architecture
eric-heiden/pose-estimation
3D Pose Estimation based on point clouds
prs-eth/OverlapPredator
[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.
jiahaoli95/idam
Code for ECCV 2020 Paper "Iterative Distance-Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration" (IDAM)
JuanDuGit/DH3D
DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization
vinits5/learning3d
This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).
MIT-SPARK/TEASER-plusplus
A fast and robust point cloud registration library
edwardzhou130/PolarSeg
Implementation for PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation (CVPR 2020)
Liumouliu/Deep_blind_PnP
Learning 2D–3D Correspondences To Solve The Blind Perspective-n-Point Problem
magicleap/SuperGluePretrainedNetwork
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
UZ-SLAMLab/ORB_SLAM3
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
XuyangBai/D3Feat
[TensorFlow] 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
changhao-chen/deep-learning-localization-mapping
A collection of deep learning based localization models
YiChenCityU/Recent_SLAM_Research
Track Advancement of SLAM 跟踪SLAM前沿动态【2021 version】業務調整,暫停更新
youngguncho/awesome-slam-datasets
A curated list of awesome datasets for SLAM
yewzijian/RPMNet
RPM-Net: Robust Point Matching using Learned Features (CVPR2020)
zgojcic/3D_multiview_reg
[CVPR2020] Learning multiview 3D point cloud registration