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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 1–50 of 316 papers

TitleStatusHype
HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image EnhancementCode1
A Multi-Scale Spatial Attention-Based Zero-Shot Learning Framework for Low-Light Image Enhancement—0
A Poisson-Guided Decomposition Network for Extreme Low-Light Image Enhancement—0
RT-X Net: RGB-Thermal cross attention network for Low-Light Image EnhancementCode1
CURVE: CLIP-Utilized Reinforcement Learning for Visual Image Enhancement via Simple Image Processing—0
URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image RestorationCode1
See through the Dark: Learning Illumination-affined Representations for Nighttime Occupancy PredictionCode1
Forward-only Diffusion Probabilistic ModelsCode1
Degradation-Aware Feature Perturbation for All-in-One Image RestorationCode2
Entropy-Driven Genetic Optimization for Deep-Feature-Guided Low-Light Image EnhancementCode0
PDE: Gene Effect Inspired Parameter Dynamic Evolution for Low-light Image Enhancement—0
A review of advancements in low-light image enhancement using deep learning—0
HiLLIE: Human-in-the-Loop Training for Low-Light Image EnhancementCode0
FusionNet: Multi-model Linear Fusion Framework for Low-light Image Enhancement—0
DeepSPG: Exploring Deep Semantic Prior Guidance for Low-light Image Enhancement with Multimodal LearningCode0
Structure-guided Diffusion Transformer for Low-Light Image Enhancement—0
Towards Scale-Aware Low-Light Enhancement via Structure-Guided Transformer DesignCode1
Learning Physics-Informed Color-Aware Transforms for Low-Light Image Enhancement—0
Towards Realistic Low-Light Image Enhancement via ISP Driven Data ModelingCode0
Low-Light Image Enhancement using Event-Based Illumination Estimation—0
Nonlocal Retinex-Based Variational Model and its Deep Unfolding Twin for Low-Light Image Enhancement—0
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
Illuminating Darkness: Enhancing Real-world Low-light Scenes with Smartphone ImagesCode1
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
HVI: A New color space for Low-light Image EnhancementCode4
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
FLOL: Fast Baselines for Real-World Low-Light EnhancementCode1
Natural Language Supervision for Low-light Image Enhancement—0
Recognition-Oriented Low-Light Image Enhancement based on Global and Pixelwise Optimization—0
Conditional Consistency Guided Image Translation and EnhancementCode1
Low-Light Image Enhancement via Generative Perceptual PriorsCode1
Rethinking Model Redundancy for Low-light Image Enhancement—0
Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion ModelCode1
DarkIR: Robust Low-Light Image RestorationCode3
VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image EnhancementCode0
Zero-Shot Low Light Image Enhancement with Diffusion Prior—0
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
Phaseformer: Phase-based Attention Mechanism for Underwater Image Restoration and BeyondCode1
DMFourLLIE: Dual-Stage and Multi-Branch Fourier Network for Low-Light Image EnhancementCode1
WARLearn: Weather-Adaptive Representation LearningCode0
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