Indoor Monocular Depth Estimation
5 papers with code • 1 benchmarks • 4 datasets
This task has no description! Would you like to contribute one?
DIODE
HUMAN4D
ISOD
InSpaceType
Latest papers with no code
$\mathrm{F^2Depth}$: Self-supervised Indoor Monocular Depth Estimation via Optical Flow Consistency and Feature Map Synthesis
To evaluate the generalization ability of our $\mathrm{F^2Depth}$, we collect a Campus Indoor depth dataset composed of approximately 1500 points selected from 99 images in 18 scenes.
Double Refinement Network for Efficient Indoor Monocular Depth Estimation
Monocular depth estimation is the task of obtaining a measure of distance for each pixel using a single image.
