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2 Pith papers cite this work. Polarity classification is still indexing.

2 Pith papers citing it

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cs.CV 2

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2026 2

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UNVERDICTED 2

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method 1

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representative citing papers

Deep Light Pollution Removal in Night Cityscape Photographs

cs.CV · 2026-04-10 · unverdicted · novelty 5.0

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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Showing 2 of 2 citing papers.

  • Rethinking Exposure Correction for Spatially Non-uniform Degradation cs.CV · 2026-04-05 · unverdicted · none · ref 48

    Introduces spatially adaptive modulation with a signal encoder and uncertainty-inspired loss for correcting non-uniform exposure degradations in images.

  • Deep Light Pollution Removal in Night Cityscape Photographs cs.CV · 2026-04-10 · unverdicted · none · ref 62

    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.