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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 1–25 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
URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image RestorationCode1
CURVE: CLIP-Utilized Reinforcement Learning for Visual Image Enhancement via Simple Image Processing—0
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
Brightness Perceiving for Recursive Low-Light Image EnhancementCode0
HPGN: Hybrid Priors-Guided Network for Compressed Low-Light Image Enhancement—0
LENVIZ: A High-Resolution Low-Exposure Night Vision Benchmark Dataset—0
GM-MoE: Low-Light Enhancement with Gated-Mechanism Mixture-of-Experts—0
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