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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 151–200 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
Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priors—0
UICE-MIRNet guided image enhancement for underwater object detection—0
Low-Light Enhancement Effect on Classification and Detection: An Empirical Study—0
Rethinking the Atmospheric Scattering-driven Attention via Channel and Gamma Correction Priors for Low-Light Image EnhancementCode0
RCNet: Deep Recurrent Collaborative Network for Multi-View Low-Light Image EnhancementCode0
LMT-GP: Combined Latent Mean-Teacher and Gaussian Process for Semi-supervised Low-light Image EnhancementCode0
SDI-Net: Toward Sufficient Dual-View Interaction for Low-light Stereo Image Enhancement—0
Latent Disentanglement for Low Light Image Enhancement—0
ALEN: A Dual-Approach for Uniform and Non-Uniform Low-Light Image EnhancementCode0
RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models—0
Dual High-Order Total Variation Model for Underwater Image RestorationCode0
AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement—0
Low-Light Image Enhancement Based on Cell Vibration Energy Model and Lightness DifferenceCode0
CAPformer: Compression-Aware Pre-trained Transformer for Low-Light Image Enhancement—0
ECAFormer: Low-light Image Enhancement using Cross AttentionCode0
RSEND: Retinex-based Squeeze and Excitation Network with Dark Region Detection for Efficient Low Light Image Enhancement—0
Bilateral Interaction for Local-Global Collaborative Perception in Low-Light Image EnhancementCode0
MambaLLIE: Implicit Retinex-Aware Low Light Enhancement with Global-then-Local State Space—0
Unsupervised Image Prior via Prompt Learning and CLIP Semantic Guidance for Low-Light Image Enhancement—0
Text in the Dark: Extremely Low-Light Text Image EnhancementCode0
Seeing Text in the Dark: Algorithm and Benchmark—0
CodeEnhance: A Codebook-Driven Approach for Low-Light Image Enhancement—0
DI-Retinex: Digital-Imaging Retinex Theory for Low-Light Image Enhancement—0
Towards Robust Event-guided Low-Light Image Enhancement: A Large-Scale Real-World Event-Image Dataset and Novel Approach—0
Zero-LED: Zero-Reference Lighting Estimation Diffusion Model for Low-Light Image Enhancement—0
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