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)
open Multi-View Stereo reconstruction library
Open source Structure-from-Motion pipeline
FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry
A procedural Blender pipeline for photorealistic training image generation
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.
MapAnything: Universal Feed-Forward Metric 3D Reconstruction
NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
[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
[CVPR'25 Oral] MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision
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