Pinned Repositories
bevlshaper
Algorithm for bird's-eye-view L-shape fitting in 3D LIDAR point clouds from traffic scenarios
GISA-RailPC
This is the official repository of the **Rail3D** dataset.
Lane-Detection-from-Point-Cloud
Detect lanes from the point cloud of a 80-meter highway road
lidar-bonnetal-1
squeezeseg, squeezesegV2, DarkNet for SemanticKITTI and SemanticPOSS
Lidar_For_AD_references
A list of references on lidar point cloud processing for autonomous driving
MFFNet
A neural network with Multi-modal Fusion Feature for point cloud classification and semantic segmentation, based on PointNet++
mim_slam
3D LiDAR SLAM including point-to-plane icp and loop closure
Svm_AirbornPointCloudClassify
基于支持向量机的机载点云分类
TreeGAN
3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions
vtkplotter
A python class for scientific visualization of 3D objects with VTK
NNU-GISA's Repositories
NNU-GISA/lidar-bonnetal-1
squeezeseg, squeezesegV2, DarkNet for SemanticKITTI and SemanticPOSS
NNU-GISA/GISA-RailPC
This is the official repository of the **Rail3D** dataset.
NNU-GISA/3d-building-reconstruction
NNU-GISA/3D_building_reconstruction
MSc Computer Science project. Automatically enhance CityGML LOD2 buildings with facade details, by using a panoramic image sequence and building footprint data. NOTE: Amsterdam Panorama API is currently offline.
NNU-GISA/3DPlan
The 3DPlan algorithm was developed during my diploma thesis, entitled "Automated detection of edges in point clouds using semantic information", at the School of Rural and Surveying Engineering of the National Technical University of Athens, which is available at ThodorisBetsas_DiplomaThesis. At first, the 3DPlan algorithm enriches the given images with a new channel including the edge semantic information. Thus the three-channel images (RGB) are transformed into four-channel (RGBL). Afterwards, the four-channel images are inserted into an SfM-MVS software to produce initially a sparse and finally, a dense point cloud which is enriched with the edge semantic information.
NNU-GISA/BoundaryAwareGEM
Boundary-Aware Geometric Encoding for Semantic Segmentation of Point Clouds (AAAI2021)
NNU-GISA/Building-PCC-Building-Point-Cloud-Completion-Benchmarks
Building-PCC: Building Point Cloud Completion Benchmarks
NNU-GISA/dcm-net
This work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 2020.
NNU-GISA/DeepBulidingPlanes
NNU-GISA/DeepDT
Code4DeepDT
NNU-GISA/earth-reverse-engineering
Reversing Google's 3D satellite mode
NNU-GISA/HDGCN
NNU-GISA/holicity
HoliCity: A City-Scale Data Platform for Learning Holistic 3D Structures
NNU-GISA/IndividualTreeExtraction
Individual Tree Extraction from Urban Mobile Laser Scanning Point Clouds Using Deep Pointwise Direction Embedding
NNU-GISA/JS3C-Net
Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion (AAAI 2021)
NNU-GISA/kailigo.github.io
NNU-GISA/LeafSurfaceReconstruction
A Robust Leaf Surface Reconstruction Method for 3D Plant Phenotyping
NNU-GISA/MeshCompletion
Structure-aware completion of images in urban road environment.
NNU-GISA/MS_RRFSegNet
MS-RRFSegNet: Multi-Scale Regional Relation Feature Segmentation Network for Semantic Segmentation of Urban Scene Point Clouds
NNU-GISA/MS_RRFSegNet-1
MS-RRFSegNet: Multi-Scale Regional Relation Feature Segmentation Network for Semantic Segmentation of Urban Scene Point Clouds
NNU-GISA/Multi-granularity-Semantic-Labeling-with-Structure-Modeling-TIM
Multi-granularity Semantic Labeling of Point Clouds for the Measurement of the Rail Tanker Component with Structure Modeling（IEEE TIM）
NNU-GISA/Open3D-ML
An extension of Open3D to address 3D Machine Learning tasks
NNU-GISA/point_cloud_scene_completion
Point Cloud Scene Completion of Obstructed Building Facades with Generative Adversarial Inpainting
NNU-GISA/Point_Cloud_Segmentation-2
Point Cloud Segmentation of Lidar Point Cloud Data
NNU-GISA/sane
SAnE: Smart annotation and evaluation tool for point cloud data
NNU-GISA/SceneEncoder
SceneEncoder: Scene-Aware Semantic Segmentation of Point Clouds with A Learnable Scene Descriptor (IJCAI 2020)
NNU-GISA/softpool
Point cloud completion with soft-pool operation
NNU-GISA/SSRNet
NNU-GISA/TF2DeepFloorplan
A Tensorflow2 implementation of Deep Floor Plan Recognition using a Multi-task Network with Room-boundary-Guided Attention paper
NNU-GISA/TP-LSD
Official implementation of paper "TP-LSD: Tri-points based line segment detector" .