Showing 21-30 of 30 projects
A PyTorch library for monocular depth estimation using deep learning techniques.
NeRF-SLAM: Real-time dense monocular SLAM with neural radiance fields and probabilistic volumetric fusion.
Official implementation of a CVPR 2024 paper on deformable 3D Gaussians for monocular dynamic scene reconstruction.
A Python library for generalized end-to-end probabilistic perspective-n-points for monocular object pose estimation.
A Python library for connecting Gaussian splatting and depth in computer vision tasks like monocular depth estimation and view synthesis.
A library for universal monocular metric depth estimation using computer vision techniques.
This repository provides projects for monocular depth estimation and 3D scene reconstruction from single images.
A general SLAM framework supporting different sensors and methods for 3D reconstruction and localization.
A PyTorch-based library for unsupervised learning of depth, disparity, and other visual features from monocular video.
An end-to-end framework for high-resolution monocular metric depth estimation, useful for computer vision applications.
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