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Universal Monocular Metric Depth Estimation
GL3D (Geometric Learning with 3D Reconstruction): a large-scale database created for 3D reconstruction and geometry-related learning problems
This repository contains information for the paper "A Survey on RGB-D Datasets" and is a collaborative initiative to update the datasets list faster.
[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
《立体视觉入门指南》 代码， c++ code for StereoV3D course
A generative world for general-purpose robotics & embodied AI learning.
Asynchronous event I/O driven quantitative trading framework.
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
Python toolbox for the NYU Depth Dataset V2
The NyuV2 Raw Dataset Extractor is a Python project that processes the raw dataset from NyuV2. It provides operations like depth map colorization, undistortion, and frame synchronization to create …
The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."
Official PyTorch implementation of SegFormer
A state-of-the-art semi-supervised method for image recognition
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation