Cover Image

A Multi-Scale Spatial Attention-Based Zero-Shot Learning Framework for Low-Light Image Enhancement

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Aslam, Muhammad Azeem, Khalid, Hassan, Ahmed, Nisar
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Blind Image Quality Assessment Using Multi-Stream Architecture with Spatial and Channel Attention
by: Aslam, Muhammad Azeem, et al.
Published: (2023)

Hybrid Attention Network for Accurate Breast Tumor Segmentation in Ultrasound Images
by: Aslam, Muhammad Azeem, et al.
Published: (2025)

Troublemaker Learning for Low-Light Image Enhancement
by: Song, Yinghao, et al.
Published: (2024)

Towards a General-Purpose Zero-Shot Synthetic Low-Light Image and Video Pipeline
by: Lin, Joanne, et al.
Published: (2025)

Multi-Scale Target-Aware Representation Learning for Fundus Image Enhancement
by: Wu, Haofan, et al.
Published: (2025)

Brightness Perceiving for Recursive Low-Light Image Enhancement
by: Wang, Haodian, et al.
Published: (2025)

Degradation-Consistent Learning via Bidirectional Diffusion for Low-Light Image Enhancement
by: He, Jinhong, et al.
Published: (2025)

IGDNet: Zero-Shot Robust Underexposed Image Enhancement via Illumination-Guided and Denoising
by: Yan, Hailong, et al.
Published: (2025)

Leveraging Content and Context Cues for Low-Light Image Enhancement
by: Morawski, Igor, et al.
Published: (2024)

Rethinking Theoretical Illumination for Efficient Low-Light Image Enhancement
by: Weng, Shyang-En, et al.
Published: (2024)

Denoising Diffusion Post-Processing for Low-Light Image Enhancement
by: Panagiotou, Savvas, et al.
Published: (2023)

Unsupervised Image Prior via Prompt Learning and CLIP Semantic Guidance for Low-Light Image Enhancement
by: Morawski, Igor, et al.
Published: (2024)

DI-Retinex: Digital-Imaging Retinex Theory for Low-Light Image Enhancement
by: Sun, Shangquan, et al.
Published: (2024)

Poisson Informed Retinex Network for Extreme Low-Light Image Enhancement
by: Rao, Isha, et al.
Published: (2025)

The Loop Game: Quality Assessment and Optimization for Low-Light Image Enhancement
by: Huang, Danni, et al.
Published: (2022)

LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion
by: Chen, Tong, et al.
Published: (2024)

EvRWKV: A Continuous Interactive RWKV Framework for Effective Event-Guided Low-Light Image Enhancement
by: Cai, Wenjie, et al.
Published: (2025)

UHD Low-Light Image Enhancement via Real-Time Enhancement Methods with Clifford Information Fusion
by: Wang, Xiaohan, et al.
Published: (2026)

Dual Degradation-Inspired Deep Unfolding Network for Low-Light Image Enhancement
by: Wang, Huake, et al.
Published: (2023)

CAPformer: Compression-Aware Pre-trained Transformer for Low-Light Image Enhancement
by: Wang, Wei, et al.
Published: (2024)

DLEN: Dual Branch of Transformer for Low-Light Image Enhancement in Dual Domains
by: Xia, Junyu, et al.
Published: (2025)

Recognition-Oriented Low-Light Image Enhancement based on Global and Pixelwise Optimization
by: Ono, Seitaro, et al.
Published: (2025)

Retinex-RAWMamba: Bridging Demosaicing and Denoising for Low-Light RAW Image Enhancement
by: Chen, Xianmin, et al.
Published: (2024)

HPGN: Hybrid Priors-Guided Network for Compressed Low-Light Image Enhancement
by: Li, Hantang, et al.
Published: (2025)

MetaQAP - A Meta-Learning Approach for Quality-Aware Pretraining in Image Quality Assessment
by: Ahmed, Nisar, et al.
Published: (2025)

Frequency-Spatial Interaction Driven Network for Low-Light Image Enhancement
by: Tao, Yunhong, et al.
Published: (2025)

FM2S: Towards Spatially-Correlated Noise Modeling in Zero-Shot Fluorescence Microscopy Image Denoising
by: Liu, Jizhihui, et al.
Published: (2024)

Gap-closing Matters: Perceptual Quality Evaluation and Optimization of Low-Light Image Enhancement
by: Chen, Baoliang, et al.
Published: (2023)

TS-Diff: Two-Stage Diffusion Model for Low-Light RAW Image Enhancement
by: Li, Yi, et al.
Published: (2025)

CuNeRF: Cube-Based Neural Radiance Field for Zero-Shot Medical Image Arbitrary-Scale Super Resolution
by: Chen, Zixuan, et al.
Published: (2023)

Lightweight Physics-Aware Zero-Shot Ultrasound Plane-Wave Denoising
by: Asgariandehkordi, Hojat, et al.
Published: (2025)

A Lightweight Low-Light Image Enhancement Network via Channel Prior and Gamma Correction
by: Weng, Shyang-En, et al.
Published: (2024)

Adapter Shield: A Unified Framework with Built-in Authentication for Preventing Unauthorized Zero-Shot Image-to-Image Generation
by: Jia, Jun, et al.
Published: (2025)

Spatial-frequency Dual-Domain Feature Fusion Network for Low-Light Remote Sensing Image Enhancement
by: Yao, Zishu, et al.
Published: (2024)

Wave-GMS: Lightweight Multi-Scale Generative Model for Medical Image Segmentation
by: Ahmed, Talha, et al.
Published: (2025)

Separated Attention: An Improved Cycle GAN Based Under Water Image Enhancement Method
by: Ghosh, Tashmoy
Published: (2024)

Zero-Shot Low-dose CT Denoising via Sinogram Flicking
by: Shi, Yongyi, et al.
Published: (2025)

MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis Attention
by: Shao, Hao, et al.
Published: (2023)

Zero-Shot Image Denoising for High-Resolution Electron Microscopy
by: Tian, Xuanyu, et al.
Published: (2024)

Filter2Noise: A Framework for Interpretable and Zero-Shot Low-Dose CT Image Denoising
by: Sun, Yipeng, et al.
Published: (2025)