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Low-Light Image Enhancement

Low-Light Image Enhancement is a computer vision task that involves improving the quality of images captured under low-light conditions. The goal of low-light image enhancement is to make images brighter, clearer, and more visually appealing, without introducing too much noise or distortion.

Papers

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Showing 151–175 of 316 papers

TitleStatusHype
HPGN: Hybrid Priors-Guided Network for Compressed Low-Light Image Enhancement—0
Brightness Perceiving for Recursive Low-Light Image EnhancementCode0
LENVIZ: A High-Resolution Low-Exposure Night Vision Benchmark Dataset—0
GM-MoE: Low-Light Enhancement with Gated-Mechanism Mixture-of-Experts—0
ERetinex: Event Camera Meets Retinex Theory for Low-Light Image EnhancementCode0
Self-supervision via Controlled Transformation and Unpaired Self-conditioning for Low-light Image EnhancementCode0
Striving for Faster and Better: A One-Layer Architecture with Auto Re-parameterization for Low-Light Image EnhancementCode0
LUMINA-Net: Low-light Upgrade through Multi-stage Illumination and Noise Adaptation Network for Image Enhancement—0
EENet: Frequency-Aware and Spatially Multiscale Network for Single Image DehazingCode0
Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration—0
DLEN: Dual Branch of Transformer for Low-Light Image Enhancement in Dual DomainsCode0
Natural Language Supervision for Low-light Image Enhancement—0
Recognition-Oriented Low-Light Image Enhancement based on Global and Pixelwise Optimization—0
Rethinking Model Redundancy for Low-light Image Enhancement—0
Zero-Shot Low Light Image Enhancement with Diffusion Prior—0
VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image EnhancementCode0
Deep Joint Unrolling for Deblurring and Low-Light Image Enhancement (JUDE)—0
Leveraging Content and Context Cues for Low-Light Image EnhancementCode0
Analytical-Heuristic Modeling and Optimization for Low-Light Image Enhancement—0
WARLearn: Weather-Adaptive Representation LearningCode0
Dropout the High-rate Downsampling: A Novel Design Paradigm for UHD Image Restoration—0
Enhancing Low-Light Images with Kolmogorov–Arnold Networks in Transformer AttentionCode0
Efficient Diffusion as Low Light Enhancer—0
LIME-Eval: Rethinking Low-light Image Enhancement Evaluation via Object DetectionCode0
Image Enhancement Based on Histogram-Guided Multiple Transformation Function EstimationCode0
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