FS-Depth: Focal-and-Scale Depth Estimation from a Single Image in Unseen Indoor Scene

Understand

It has long been an ill-posed problem to predict absolute depth maps from single images in real (unseen) indoor scenes.

• We observe that it is essentially due to not only the scale-ambiguous problem but also the focal-ambiguous problem that decreases the generalization ability of monocular depth estimation.
• That is, images may be captured by cameras of different focal lengths in scenes of different scales.
• In this paper, we develop a focal-and-scale depth estimation model to well learn absolute depth maps from single images in unseen indoor scenes.