Imagen de Portada

CodeEnhance: A Codebook-Driven Approach for Low-Light Image Enhancement

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wu, Xu, Hou, XianXu, Lai, Zhihui, Zhou, Jie, Zhang, Ya-nan, Pedrycz, Witold, Shen, Linlin
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

LightQANet: Quantized and Adaptive Feature Learning for Low-Light Image Enhancement
por: Wu, Xu, et al.
Publicado: (2025)

Low-Light Enhancement Effect on Classification and Detection: An Empirical Study
por: Wu, Xu, et al.
Publicado: (2024)

Distribution Enhancement for Imbalanced Data with Generative Adversarial Network
por: Yueqi Chen, et al.
Publicado: (2024)

Linguistic Fuzzy Information Evolution with Random Leader Election Mechanism for Decision-Making Systems
por: Jia, Qianlei, et al.
Publicado: (2024)

GLARE: Low Light Image Enhancement via Generative Latent Feature based Codebook Retrieval
por: Zhou, Han, et al.
Publicado: (2024)

Bridging Visualization and Optimization: Multimodal Large Language Models on Graph-Structured Combinatorial Optimization
por: Zhao, Jie, et al.
Publicado: (2025)

S$^2$FS: Spatially-Aware Separability-Driven Feature Selection in Fuzzy Decision Systems
por: Xu, Suping, et al.
Publicado: (2025)

Cost-Effective Community-Hierarchy-Based Mutual Voting Approach for Influence Maximization in Complex Networks
por: Liu, Yi, et al.
Publicado: (2024)

Fuzzy Granule Density-Based Outlier Detection with Multi-Scale Granular Balls
por: Gao, Can, et al.
Publicado: (2025)

An incremental preference elicitation-based approach to learning potentially non-monotonic preferences in multi-criteria sorting
por: Li, Zhuolin, et al.
Publicado: (2024)

Generation of Granular-Balls for Clustering Based on the Principle of Justifiable Granularity
por: Jia, Zihang, et al.
Publicado: (2024)

Multivariate Time series Anomaly Detection:A Framework of Hidden Markov Models
por: Li, Jinbo, et al.
Publicado: (2025)

Theoretical Convergence of SMOTE-Generated Samples
por: Kamalov, Firuz, et al.
Publicado: (2026)

BEND: Bagging Deep Learning Training Based on Efficient Neural Network Diffusion
por: Wei, Jia, et al.
Publicado: (2024)

LGBQPC: Local Granular-Ball Quality Peaks Clustering
por: Jia, Zihang, et al.
Publicado: (2025)

Service Level Agreements and Security SLA: A Comprehensive Survey
por: Nicolazzo, Serena, et al.
Publicado: (2024)

Attribute Fusion-based Classifier on Framework of Belief Structure
por: Hu, Qiying, et al.
Publicado: (2025)

Informed Machine Learning with Knowledge Landmarks
por: Dai, Chuyi, et al.
Publicado: (2026)

ZeroLM: Data-Free Transformer Architecture Search for Language Models
por: Chen, Zhen-Song, et al.
Publicado: (2025)

LLM4CMO: Large Language Model-aided Algorithm Design for Constrained Multiobjective Optimization
por: Chen, Zhen-Song, et al.
Publicado: (2025)

On the resolution and linear optimization problems subject to a system of bipolar fuzzy relational equalities defined with continuous Archimedean t-norms
por: Ghodousian, Amin, et al.
Publicado: (2025)

DRWKV: Focusing on Object Edges for Low-Light Image Enhancement
por: Bai, Xuecheng, et al.
Publicado: (2025)

All-in-One Medical Image Restoration with Latent Diffusion-Enhanced Vector-Quantized Codebook Prior
por: Chen, Haowei, et al.
Publicado: (2025)

TrustGuard: GNN-based Robust and Explainable Trust Evaluation with Dynamicity Support
por: Wang, Jie, et al.
Publicado: (2023)

Dual-pronged deep learning preprocessing on heterogeneous platforms with CPU, Accelerator and CSD
por: Wei, Jia, et al.
Publicado: (2024)

A Boundary-Aware Non-parametric Granular-Ball Classifier Based on Minimum Description Length
por: Xian, Zeqiang, et al.
Publicado: (2026)

MDL-GBG: A Non-parametric and Interpretable Granular-Ball Generation Method for Clustering
por: Xian, Zeqiang, et al.
Publicado: (2026)

Geometric-Aware Low-Light Image and Video Enhancement via Depth Guidance
por: Lin, Yingqi, et al.
Publicado: (2023)

Mining Large Independent Sets on Massive Graphs
por: Zhang, Yu, et al.
Publicado: (2022)

Clustering-based Anomaly Detection in Multivariate Time Series Data
por: Li, Jinbo, et al.
Publicado: (2025)

Text in the Dark: Extremely Low-Light Text Image Enhancement
por: Lin, Che-Tsung, et al.
Publicado: (2024)

Evidential Information Fusion on Possibilistic Structure
por: Zhou, Qianli, et al.
Publicado: (2026)

Unveiling Advanced Frequency Disentanglement Paradigm for Low-Light Image Enhancement
por: Zhou, Kun, et al.
Publicado: (2024)

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

Margin-aware Fuzzy Rough Feature Selection: Bridging Uncertainty Characterization and Pattern Classification
por: Xu, Suping, et al.
Publicado: (2025)

From Distance to Direction: Structure-aware Label-specific Feature Fusion for Label Distribution Learning
por: Xu, Suping, et al.
Publicado: (2025)

Low Light Image Enhancement Challenge at NTIRE 2026
por: Ciubotariu, George, et al.
Publicado: (2026)

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

Machine Learning Innovations in CPR: A Comprehensive Survey on Enhanced Resuscitation Techniques
por: Islam, Saidul, et al.
Publicado: (2024)

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