Introduces spatially adaptive modulation with a signal encoder and uncertainty-inspired loss for correcting non-uniform exposure degradations in images.
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2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CV 2years
2026 2verdicts
UNVERDICTED 2roles
method 1polarities
use method 1representative citing papers
A deep learning method with an enhanced physical degradation model incorporating anisotropic light spread and hidden skyglow, trained via generative models and synthetic-real coupling, removes light pollution from night cityscape images more effectively than prior restoration techniques.
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Rethinking Exposure Correction for Spatially Non-uniform Degradation
Introduces spatially adaptive modulation with a signal encoder and uncertainty-inspired loss for correcting non-uniform exposure degradations in images.
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Deep Light Pollution Removal in Night Cityscape Photographs
A deep learning method with an enhanced physical degradation model incorporating anisotropic light spread and hidden skyglow, trained via generative models and synthetic-real coupling, removes light pollution from night cityscape images more effectively than prior restoration techniques.