Instant neural graphics primitives: lightning fast NeRF and more

Node-based Visual Programming Toolbox

A collaboration friendly studio for NeRFs

A resource repository for 3D machine learning

open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.

The open source mesh processing system

Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)

A curated list of papers & resources linked to 3D reconstruction from images.

A list of papers and datasets about point cloud analysis (processing)

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

open Multi-View Stereo reconstruction library

Open source Structure-from-Motion pipeline

A procedural Blender pipeline for photorealistic training image generation

MapAnything: Universal Feed-Forward Metric 3D Reconstruction

3D Computer Vision Framework

pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.

NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

[CVPR'25 Oral] MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

[NeurIPS 2025] PartCrafter: Structured 3D Mesh Generation via Compositional Latent Diffusion Transformers

A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package