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Wanyu Wu

3 accepted papers

2025

Disentangle Nighttime Lens Flares: Self-supervised Generation-based Lens Flare Removal

AAAI 2025technical

Lens flares arise from light reflection and refraction within sensor arrays, whose diverse types include glow, veiling glare, reflective flare and so on. Existing methods are specialized for one specific type only, and overlook the simultaneous occurrence of multiple typed lens flares, which is comm…

Cited by 1SourcePDFScholar
2023

From Generation to Suppression: Towards Effective Irregular Glow Removal for Nighttime Visibility Enhancement

IJCAI 2023poster

Most existing Low-Light Image Enhancement (LLIE) methods are primarily designed to improve brightness in dark regions, which suffer from severe degradation in nighttime images. However, these methods have limited exploration in another major visibility damage, the glow effects in real night scenes.…

Cited by 5SourcePDFScholar
2022

Self-Supervised Learning on A Lightweight Low-Light Image Enhancement Model with Curve Refinement

ICASSP 2022accepted

Deep learning networks with deeper layers become a trend for their good performance but lacks the potential for real-time mobile deployment. Another challenge for paired training networks is the limited generalization capacity caused by the sample bias. To overcome these two challenges, we propose a…

Cited by 0SourceScholar