Dense depth maps can be recovered from a focus-sweep event stream via a voxelized event focal stack and a U-Net, outperforming an image-domain depth-from-defocus baseline on synthetic tests and showing qualitative promise in real low-light scenes.
End-to-end learning of geometry and context for deep stereo regression
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2024 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Dense Depth from Event Focal Stack
Dense depth maps can be recovered from a focus-sweep event stream via a voxelized event focal stack and a U-Net, outperforming an image-domain depth-from-defocus baseline on synthetic tests and showing qualitative promise in real low-light scenes.