ShuweiShao/IEBins
[NeurIPS2023] IEBins: Iterative Elastic Bins for Monocular Depth Estimation
This project helps computer vision researchers and robotics engineers convert standard 2D images into precise depth maps. It takes a single RGB image as input and outputs a corresponding depth map, showing the distance of objects from the camera. This is particularly useful for those working on tasks like 3D scene reconstruction or autonomous navigation.
No commits in the last 6 months.
Use this if you need to accurately estimate the distance of objects in a scene from a single camera image.
Not ideal if you already have access to specialized depth sensors like LiDAR or stereo cameras, which provide direct depth measurements.
Stars
91
Forks
5
Language
Python
License
MIT
Category
Last pushed
Dec 30, 2024
Commits (30d)
0
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