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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 101–150 of 316 papers

TitleStatusHype
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
AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and ModulationCode3
Zero-LED: Zero-Reference Lighting Estimation Diffusion Model for Low-Light Image Enhancement—0
Edge-guided Low-light Image Enhancement with Inertial Bregman Alternating Linearized Minimization—0
A Lightweight Low-Light Image Enhancement Network via Channel Prior and Gamma Correction—0
Seed Optimization with Frozen Generator for Superior Zero-shot Low-light Enhancement—0
You Only Need One Color Space: An Efficient Network for Low-light Image EnhancementCode4
Troublemaker Learning for Low-Light Image EnhancementCode1
InstructIR: High-Quality Image Restoration Following Human InstructionsCode4
LYT-NET: Lightweight YUV Transformer-based Network for Low-light Image EnhancementCode2
Edge-Computing-Enabled Deep Learning Approach for Low-Light Satellite Image EnhancementCode0
MixNet: Efficient Global Modeling for Ultra-High-Definition Image RestorationCode0
PPformer: Using pixel-wise and patch-wise cross-attention for low-light image enhancementCode1
Low-light Image Enhancement via CLIP-Fourier Guided Wavelet DiffusionCode2
A Non-Uniform Low-Light Image Enhancement Method with Multi-Scale Attention Transformer and Luminance Consistency LossCode0
Revealing Shadows: Low-Light Image Enhancement Using Self-Calibrated Illumination—0
ClassLIE: Structure- and Illumination-Adaptive Classification for Low-Light Image Enhancement—0
JoReS-Diff: Joint Retinex and Semantic Priors in Diffusion Model for Low-light Image Enhancement—0
Enlighten-Your-Voice: When Multimodal Meets Zero-shot Low-light Image EnhancementCode0
DiffuseRAW: End-to-End Generative RAW Image Processing for Low-Light Images—0
Learning to See Low-Light Images via Feature Domain Adaptation—0
LDM-ISP: Enhancing Neural ISP for Low Light with Latent Diffusion Models—0
Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual NoiseCode1
Zero-Shot Enhancement of Low-Light Image Based on Retinex DecompositionCode0
Lookup Table meets Local Laplacian Filter: Pyramid Reconstruction Network for Tone MappingCode1
Global Structure-Aware Diffusion Process for Low-Light Image EnhancementCode1
Dimma: Semi-supervised Low Light Image Enhancement with Adaptive DimmingCode1
WaveNet: Wave-Aware Image EnhancementCode1
ITRE: Low-light Image Enhancement Based on Illumination Transmission Ratio Estimation—0
LoLi-IEA: low-light image enhancement algorithm—0
Controlling Vision-Language Models for Multi-Task Image RestorationCode2
Joint Correcting and Refinement for Balanced Low-Light Image EnhancementCode1
Bootstrap Diffusion Model Curve Estimation for High Resolution Low-Light Image Enhancement—0
Training Your Image Restoration Network Better with Random Weight Network as Optimization Function—0
Training Your Image Restoration Network Better with Random Weight Network as Optimization Function—0
Double Domain Guided Real-Time Low-Light Image Enhancement for Ultra-High-Definition Transportation SurveillanceCode1
DEFormer: DCT-driven Enhancement Transformer for Low-light Image and Dark Vision—0
Empowering Low-Light Image Enhancer through Customized Learnable PriorsCode1
Multiple transformation function estimation for image enhancementCode1
Low-light image enhancement based on sharpening-smoothing image filterCode0
Generalized Lightness Adaptation with Channel Selective NormalizationCode1
Diff-Retinex: Rethinking Low-light Image Enhancement with A Generative Diffusion Model—0
CDAN: Convolutional dense attention-guided network for low-light image enhancementCode1
DiffLLE: Diffusion-guided Domain Calibration for Unsupervised Low-light Image Enhancement—0
Self-Reference Deep Adaptive Curve Estimation for Low-Light Image EnhancementCode1
Low-Light Image Enhancement with Illumination-Aware Gamma Correction and Complete Image Modelling Network—0
CLE Diffusion: Controllable Light Enhancement Diffusion Model—0
FourLLIE: Boosting Low-Light Image Enhancement by Fourier Frequency InformationCode1
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