VidMap: Exploiting Temporal Structure for Video-Based Structure-from-Motion (ECCV 2026)

Self-supervised learning for spatial perception

[CVPR 2026 Oral] VGGT Omega

A feed-forward 3D foundation model for reconstructing scenes from streaming data

[ECCV 2026 Oral] LoMa: Local Feature Matching Revisited

An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.

Ranking and Covariances for Practical Learned Keypoints

Visual-inertial optimization of VIO trajectories and SLAM maps via accurate sensor modelling, with imu pre-integrated terms, full re-estimation of intrinsics/extrinsics on a generic rig and modelli…

Fast symbolic computation, code generation, and nonlinear optimization for robotics

The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that sho…

Depth Anything 3

MapAnything: Universal Feed-Forward Metric 3D Reconstruction

Visualize, query, and stream to train on multimodal robotics data.

Reference PyTorch implementation and models for DINOv3

ViPE: Video Pose Engine for Geometric 3D Perception

[ICLR 2026] π^3: Permutation-Equivariant Visual Geometry Learning

AnyCalib: On-Manifold Learning for Model-Agnostic Single-View Camera Calibration (ICCV 2025)

Community list of open-source GNSS software and resources 📡

Release repo for our SLAM Handbook

[CVPR 2025 Best Paper Award] VGGT: Visual Geometry Grounded Transformer

[CVPR 2025] MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors

An open source platform for visual-inertial navigation research.

[CVPR 2025 Highlight] Official implementation of the solvers and estimators proposed in the paper "Relative Pose Estimation through Affine Corrections of Monocular Depth Priors"

GeoCalib: Learning Single-image Calibration with Geometric Optimization (ECCV 2024)

[DEPRECATED] GLOMAP - Global Structured-from-Motion Revisited

GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse m…

[SIGGRAPH Asia'24 & TOG] Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes

code for the TOG 2023 paper "Digital 3D Smocking Design"