Metadata only
Date
2020Type
- Conference Paper
ETH Bibliography
yes
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Abstract
When we take photos through glass windows or doors, the transmitted background scene is often blended with undesirable reflection. Separating two layers apart to enhance the image quality is of vital importance for both human and machine perception. In this paper, we propose to exploit physical constraints from a pair of unpolarized and polarized images to separate reflection and transmission layers. Due to the simplified capturing setup, the system becomes more underdetermined compared with existing polarization based solutions that take three or more images as input. We propose to solve semireflector orientation estimation first to make the physical image formation well-posed and then learn to reliably separate two layers using a refinement network with gradient loss. Quantitative and qualitative experimental results show our approach performs favorably over existing polarization and single image based solutions. Show more
Publication status
publishedExternal links
Editor
Book title
Advances in Neural Information Processing Systems 32Volume
Pages / Article No.
Publisher
CurranEvent
Organisational unit
03766 - Pollefeys, Marc / Pollefeys, Marc
Notes
Poster presentation.More
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ETH Bibliography
yes
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