yhexie's starred repositories
webgl-fundamentals
WebGL lessons that start with the basics
RandLA-Net
🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)
pmp-library
The Polygon Mesh Processing Library
SensatUrban
🔥Urban-scale point cloud dataset (CVPR 2021 & IJCV 2022)
FastPointTransformer
Official source code of Fast Point Transformer, CVPR 2022
LOD2BuildingModel
SAT2LoD2: Automated LoD-2 Model Reconstruction from Satellite-derived DSM and Orthophoto
awesome-planar-reconstruction
A curated list on piecewise-planar reconstruction
Indoor-navigation
小蓝地图Android端:室内地图+定位+导航
earth-webgl
Photorealistic 3D earth and space scene demo rendered and animated in WebGL.
GlobalMatch
GlobalMatch: Registration of forest terrestrial point clouds by global matching of relative stem positions [ISPRS 2023]
Building-detection-and-roof-type-recognition
Training dataset for supervised learning
Scan-to-BIM-Grasshopper
Scan-to-BIM toolbox for Grasshopper Rhino including mesh/pcd segmentation, classification and reconstruction
solarsystem
3D OpenGL C++ Solar System Simulator
randla-net-tf2
Python 3.6, Tensorflow 2.6, CUDA 11.4 and cudnn in RTX 3090
torch-points3d-SiameseKPConv
Pytorch framework for doing deep learning on point clouds. Implementation of Siamese KPConv network for point clouds change detection
yt-acad-projs
YouTube Academic Projects Series is a youtube video series by Spartificial that provides free certified Machine Learning related student projects focusing on Space technology and Sustainable Development.
OpenGL-SolarSystem
3D C/C++/OpenGL/GLFW Simple Solar System model 🌍
Deep-3D-Semantic-Segmentation-and-Floor-Plan-Extraction-RandLANet-
Semantic Segmentation of common indoor objects on 3D point clouds .ply datas with RANSAC based planar estimation techniques for prediction of floor plan
AxVSPRoomSeg3D
AxVSPRoomSeg3D is a three-dimensional room segmentation method.
Urban_PointCloud_Processing
Repository for automatic classification and labeling of Urban PointClouds using data fusion and region growing techniques.