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Found 3 papers, 2 papers with code
Masked Spatial Propagation Network for Sparsity-Adaptive Depth Refinement
The main function of depth completion is to compensate for an insufficient and unpredictable number of sparse depth measurements of hardware sensors.
Versatile Depth Estimator Based on Common Relative Depth Estimation and Camera-Specific Relative-to-Metric Depth Conversion
A typical monocular depth estimator is trained for a single camera, so its performance drops severely on images taken with different cameras.
Depth Map Decomposition for Monocular Depth Estimation
We propose a novel algorithm for monocular depth estimation that decomposes a metric depth map into a normalized depth map and scale features.
Ranked #37 on
Monocular Depth Estimation
on NYU-Depth V2
(using extra training data)
