Language-Driven Semantic Segmentation

Reference models and tools for Cloud TPUs.

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

An open source implementation of CLIP.

A Multi-Modal Large-Scale Scene Dataset with a Versatile Toolchain for Surface Prediction and Completion

Codebase for Automated Creation of Digital Cousins for Robust Policy Learning

基于pangolin，提供常规的slam可视化api

ARCH2S: Dataset and Benchmark for Learning Exterior Architectural Structures from Point Clouds (CVPRW 2024, Oral)

Image-to-point cloud Registration Tool

FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry

[ECCV'20] Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling

A curated list of resources relevant to LiDAR-Visual-Fusion-SLAM

ImMesh: An Immediate LiDAR Localization and Meshing Framework

The Most Faithful Implementation of Segment Anything (SAM) in 3D

Code for "Point2CAD: Reverse Engineering CAD Models from 3D Point Clouds"

[ICRA'24 Best UAV Paper Award Finalist] An Efficient Global Planner for Aerial Coverage

A curated list of tutorials, papers, software related to multi-view stereo.

A curated list of awesome computer vision resources

The implementation of MeshSegmenter: Zero-Shot Mesh Semantic Segmentation via Texture Synthesis

Official code for "Weakly Supervised Point Cloud Semantic Segmentation via Artificial Oracle" (CVPR 2024)

[NeurIPS 2024] A Unified Framework for 3D Scene Understanding

A Library for Advanced Deep Time Series Models.

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

UAV Flight Simulator for Reinforcement Learning Research

🌐 List & Map of 700+ companies for geospatial jobs (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)

PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

Python package for segmenting LiDAR data using Segment-Anything Model (SAM) from Meta AI.