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3dReconstruction
Calibration
Sensor intrinsic and extrinsic calibrationComputerVision
computer vision algorithmDataset
Dataset for SLAM or RoboticsDeepLearningFramewok
DL-SLAM
deep learning based slam🔮 Future ideas
INS
Inertial Navigation,integrated navigation✨ Inspiration
Lidar SLAM
Lidar Centered SLAMMapping
HDmap creation, dense visual / lidar mapping.MathSolver
MultiRobot
Multi-Robot SystemMultisensorSLAM
SLAM with multiple sensors, such as Lidar+Camera, Camera+IMU+GNSS, Lidar+IMU+GNSSPathPlanning
robot path planningPerception
PhotometricCalibration
Photometric Calibration methods for SFM methods based on illumination invariant hypothesis, like optical flow, direct methods for SLAM.PlaceRecognition/LoopClosing
Visual, Lidar Point Cloud based Place Recognition.PointCloud
Point Cloud ProcessProgramming
PythonPackage
Radar
Radar slam,including mmWave radar, ss radar.Robotic
SFM
structure from motion collection listSimulation
State Estimation
State Estimation method collectionStateEstimation-MCL
Monte Carlo based localization, using Particle Filter.V2X
Visualization
3d visualization frameworks.VisualSLAM
Monocular,Stereo,multi-camera SLAM,with multi-sensor fusion.Voxel
Voxel based SLAM approach, point cloud process, tracking.Stars
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Neural Networks: Zero to Hero
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Code release for NeRF (Neural Radiance Fields)
[ICCV 2019] Monocular depth estimation from a single image
Metric depth estimation from a single image
Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022
Efficient neural feature detector and descriptor
Repository for the free online book Machine Learning from Scratch (link below!)
Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!
[CVPR 2024 Oral] Rethinking Inductive Biases for Surface Normal Estimation
Code for "Efficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like Speed", CVPR 2024
Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.
Joint deep network for feature line detection and description
Public release of the Image Matching Benchmark: https://image-matching-challenge.github.io
[AAAI 2025] DepthFM: Fast Monocular Depth Estimation with Flow Matching
An implementation of the SE-Sync algorithm for synchronization over the special Euclidean group.
Monocular Depth Estimation Using Laplacian Pyramid-Based Depth Residuals
$D^2$SLAM: Decentralized and Distributed Collaborative Visual-inertial SLAM System for Aerial Swarm
在人工智能、机器视觉、高精度导航定位和多传感器融合等技术的助推下，众多行业迎来了前所未有的发展机遇，人工智能+无人机（AI+UAV）正是一个具有无限想象力的应用方向。
RELLIS-3D: A Multi-modal Dataset for Off-Road Robotics
ELSED: Enhanced Line SEgment Drawing
BotanicGarden: A high-quality dataset for robot navigation in unstructured natural environments
Dataset for MetaSLAM Challenge
In How Diffusion Models Work, you will gain a deep familiarity with the diffusion process and the models which carry it out. More than simply pulling in a pre-built model or using an API, this cour…
DefSLAM: Tracking and Mapping of Deforming Scenes from Monocular Sequences. J.Lamarca, S. Parashar, A. Bartoli & J.M.M. Montiel