Showing 21-31 of 31 projects
A comprehensive guide to the powerful photogrammetry technique used for 3D reconstruction, surveying, and more.
SimpleRecon is a 3D reconstruction library that uses a novel approach without 3D convolutions, optimized for computer vision tasks.
A unified deep learning model for correspondence, stereo, and depth estimation tasks.
Open-source C++ library for high-quality depth estimation using the Semi-Global Matching algorithm, a classic and widely-used stereo matching algorithm.
A fast computer vision library for 3D reconstruction, calibration, tracking, and more, written in Java.
A Python library for connecting Gaussian splatting and depth in computer vision tasks like monocular depth estimation and view synthesis.
A point-based neural radiance field for 3D reconstruction and rendering from multi-view images.
The spatial perception framework for rapidly building smart robots and spaces
Algorithm to texture 3D reconstructions from multi-view stereo images, useful for computer vision and 3D graphics projects.
A powerful C++ library for image-based 3D reconstruction, including structure-from-motion, multi-view stereo, and surface reconstruction.
RAFT-Stereo is a PyTorch library for training and evaluating stereo matching models.
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