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geomapnet

Geometry-Aware Learning of Maps for Camera Localization (CVPR2018)

geonet

Code for GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose (CVPR 2018)

gibsjose.github.io

Personal Website of Joe Gibson

gicp

Generalized ICP reference implementation

gira3d-occupancy-modeling

Local occupancy modeling from Gaussian Mixture Models.

gira3d-reconstruction

High-resolution point cloud reconstruction from a compact Gaussian Mixture Model.

gira3d-registration

Frame-to-Frame Registration using Gaussian Mixture Models.

giraffe

This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"

gitignore

A collection of useful .gitignore templates

gl3d

GL3D (Geometric Learning with 3D Reconstruction): a large-scale database created for 3D reconstruction and geometry-related learning problems

glow

OpenGL Object Wrapper (GLOW)

gms-feature-matcher

GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence (CVPR 17 & IJCV 20)

gnnpapers

Must-read papers on graph neural networks (GNN)

google-research

Google Research

goturn

Source code for paper: Learning to Track at 100 FPS with Deep Regression Networks, Held, et al. ECCV 2016

gp

C++ implementation of Gaussian process regression

gp-slam

Gaussian Process Simultaneous localization and mapping

gpc

Gaussian process code in C++ including some implementations of GP-LVM and IVM.

gpflow

Gaussian processes in TensorFlow

gpismap

Online Continuous Mapping using Gaussian Process Implicit Surfaces (GPIS)

gpmap

gpmap_old

gpmap_old2

Gaussian process occupancy mapping and reconstruction in C++

gpmat

Matlab implementations of Gaussian processes and other machine learning tools.

gpml

Extensions for GPML in Matlab

gpmp2

Gaussian Process Motion Planner 2

gpom

gpslam

Sparse Gaussian Processes for SLAM

gpstuff

GPstuff - Gaussian process models for Bayesian analysis

gpuci-build-environment

Common build environment used by gpuCI for building libgdf/pygdf