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The University of Hong Kong
- Hong Kong
- https://yinqiangzhang.netlify.app/
Stars
Reading and writing IFC files with Javascript, at native speeds.
A unified framework for 3D content generation.
Raycasting based Range Sensor Simulation in Gazebo using Rmagine
Effectively Detecting Loop Closures using Point Cloud Density Maps
📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA/Tensor Cores Kernels, HGEMM, FA-2 MMA etc.🔥
LiDAR-Inertial Odometry and Mapping using Normal Vectors Towards Robust SLAM in Multifloor Environments
[RA-L] FM-Fusion: Instance-aware Semantic Mapping Boosted by Vision-Language Foundation Models
This project allows the alignment and correction of LiDAR-based SLAM session data with a reference map or another session, also the retrieval of 6-DoF poses with accuracy of up to 3 cm given an ac…
Comparative benchmark of https://github.com/asherikov/qpmad QP solver
Forge Node.js SDK: Provides Node.js SDK to help you easily integrate Forge REST APIs into the application
A LiDAR-Inertial Odometry with Efficient Uncertainty Analysis.
[ICCV'23 Workshop] SAM3D: Segment Anything in 3D Scenes
Public code release associated with SceneScript.
🚀 Deploy a Next.js app to GitHub Pages via GitHub Actions
VILA is a family of state-of-the-art vision language models (VLMs) for diverse multimodal AI tasks across the edge, data center, and cloud.
Official implementations from the paper "Informed, Constrained, Aligned: A Field Analysis on Degeneracy-aware Point Cloud Registration in the Wild"
A 3DGS framework for omni urban scene reconstruction and simulation.
A Modular Framework for 3D Gaussian Splatting and Beyond
Implementation of ECCV'24: GaussReg: Fast 3D Registration with Gaussian Splatting
a Multi-Map LiDAR-Inertial System for Over-Degraded Environments
Neural Network Bayesian Kernel Inference.
Collecting papers about potential AIGC applications in the AEC industry.