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A list of recent monocular depth estimation work, inspired by awesome-computer-vision. The list is mainly focusing on recent work after 2020. Papers. High ...
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Monocular Depth Estimation is the task of estimating the depth value (distance relative to the camera) of each pixel given a single (monocular) RGB image.
Monocular depth estimation. Monocular depth estimation is a computer vision task that involves predicting the depth information of a scene from a single image.
Self-supervised monocular depth estimation enables robots to learn 3D perception from raw video streams. This scalable approach leverages projective geometry ...
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Boosting Monocular Depth Estimation Models to High-Resolution via ...
yaksoy.github.io › highresdepth
We propose a method that can generate highly detailed high-resolution depth estimations from a single image. Our method is based on optimizing the performance ...
To the best of the authors' knowledge, this paper demonstrates real-time monocular depth estimation using a deep neural network with the highest throughput on ...
May 18, 2022 · Most works in self-supervised monocular depth estimation focus on only two of the three components required to use geometry as inductive biases ...
Mar 20, 2024 · Monocular depth estimation, the prediction of distance in 3D space from a 2D image. The “ill posed and inherently ambiguous problem”, ...
An open API service indexing awesome lists of open source software. awesome-monocular-3D-reconstruction. A list of papers about monocular reconstruction ( ...
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