#2625. Single image fa?ade segmentation and computational rephotography of house images using deep learning

December 2026publication date
Proposal available till 30-05-2025
4 total number of authors per manuscript4500 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Conservation;
Archeology (arts and humanities);
Economics, Econometrics and Finance (all);
Materials Science (miscellaneous);
Chemistry (miscellaneous);
Computer Science Applications;
Spectroscopy;
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4 place - free (for sale)

Abstract:
The article analyzes the re-photographing of the image of the past on the basis of one image. This study will be useful not only for computer scientists, but also for history and cultural heritage researchers to study the social changes of a place over a period of time, as well as allow users to go back in time to see what a particular place looked like. in the past.
Keywords:
Computational rephotography; façade extraction; historical images; semantic segmentation

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