Showing 1-16 of 16 projects
A foundation model for monocular depth estimation that leverages large-scale unlabeled data.
This repository provides a PyTorch implementation for monocular depth estimation from a single image.
Python/C++ Visual SLAM pipeline for 3D reconstruction
A universal feed-forward metric 3D reconstruction library for computer vision and robotics applications.
A GitHub repository providing a metric depth estimation model from a single image using deep learning.
Robust real-time face and facial landmark tracking on CPU with Unity integration for virtual youtubers/VTubers.
A PyTorch-based library for consistent depth estimation in super-long videos using transformers.
Open-source video pose engine for geometric 3D perception using Python.
SimpleRecon is a 3D reconstruction library that uses a novel approach without 3D convolutions, optimized for computer vision 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 library for universal monocular metric depth estimation using computer vision techniques.
The spatial perception framework for rapidly building smart robots and spaces
A Python library for depth estimation and 3D/4D reconstruction using AI-powered prompts.
A collection of papers and code related to 3D computer vision, including SLAM, localization, and more.
An end-to-end framework for high-resolution monocular metric depth estimation, useful for computer vision applications.
A repository of projects focused on 3D reconstruction using deep learning methods.
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