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.
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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.
May 24, 2022 · The goal in monocular depth estimation is to predict the depth value of each pixel or inferring depth information, given only a single RGB image ...
Monocular depth estimation is the task of predicting the depth of a scene from a single image. Often, depth information is necessary for downstream tasks, such ...
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot ...
The dataset contains around 100,000 pairs of color images with precise dense depth maps of resolution 1920 × 1080, and we refer to this dataset as a High- ...
... depth from single monocular images. Virtual KITTI Dataset: Virtual KITTI contains 50 high-resolution monocular videos (21,260 frames) generated from five ...
May 2, 2023 · Title:High-Resolution Synthetic RGB-D Datasets for Monocular Depth Estimation ... In this paper, we generate a high-resolution synthetic depth ...
The Megadepth dataset [17] was intro- duced as one of the largest datasets for the monocular depth estimation problem with a total of 130K images among which ...
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Table A1 summarizes the monocular depth estimation methods in terms of parameter counts, depth accuracy measured using RMSE metric, memory requirement and ...