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.
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Self-supervised monocular depth estimation enables robots to learn 3D perception from raw video streams. This scalable approach leverages projective geometry ...
Mar 20, 2024 · Monocular depth estimation, the prediction of distance in 3D space from a 2D image. The “ill posed and inherently ambiguous problem”, ...
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 ...
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 ...
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 ...
Amlaan et al, Monocluar depth estimation: A survey, PDF; Zhao et al, Monocular Depth Estimation Based On Deep Learning: An Overview, PDF. 1. 单目深度估计(全 ...
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