Imagen de Portada

GTFMN: Guided Texture and Feature Modulation Network for Low-Light Image Enhancement and Super-Resolution

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Huang, Yongsong, Peng, Tzu-Hsuan, Miyazaki, Tomo, Liu, Xiaofeng, Chou, Chun-Ting, Pang, Ai-Chun, Omachi, Shinichiro
Formato:	Preprint
Publicado:	2026
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

IRSRMamba: Infrared Image Super-Resolution via Mamba-based Wavelet Transform Feature Modulation Model
por: Huang, Yongsong, et al.
Publicado: (2024)

Texture and Noise Dual Adaptation for Infrared Image Super-Resolution
por: Huang, Yongsong, et al.
Publicado: (2023)

Infrared Image Super-Resolution: Systematic Review, and Future Trends
por: Huang, Yongsong, et al.
Publicado: (2022)

GPSMamba: A Global Phase and Spectral Prompt-guided Mamba for Infrared Image Super-Resolution
por: Huang, Yongsong, et al.
Publicado: (2025)

Controlling Rate, Distortion, and Realism: Towards a Single Comprehensive Neural Image Compression Model
por: Iwai, Shoma, et al.
Publicado: (2024)

Towards Cross-Domain Multi-Targeted Adversarial Attacks
por: Gonçalves, Taïga, et al.
Publicado: (2025)

Joint Low-level and High-level Textual Representation Learning with Multiple Masking Strategies
por: Tang, Zhengmi, et al.
Publicado: (2025)

POCA: Pareto-Optimal Curriculum Alignment for Visual Text Generation
por: Fan, Yaohou, et al.
Publicado: (2026)

Class-agnostic 3D Segmentation by Granularity-Consistent Automatic 2D Mask Tracking
por: Wang, Juan, et al.
Publicado: (2025)

U-Harmony: Enhancing Joint Training for Segmentation Models with Universal Harmonization
por: Ma, Weiwei, et al.
Publicado: (2026)

LAUD: Integrating Large Language Models with Active Learning for Unlabeled Data
por: Chou, Tzu-Hsuan, et al.
Publicado: (2025)

EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
por: Kai, Dachun, et al.
Publicado: (2024)

DeepFusionNet: Autoencoder-Based Low-Light Image Enhancement and Super-Resolution
por: Çalışkan, Halil Hüseyin, et al.
Publicado: (2025)

Physics-Constrained Cross-Resolution Enhancement Network for Optics-Guided Thermal UAV Image Super-Resolution
por: Zhao, Zhicheng, et al.
Publicado: (2026)

Guidance Disentanglement Network for Optics-Guided Thermal UAV Image Super-Resolution
por: Zhao, Zhicheng, et al.
Publicado: (2024)

Entropy-Driven Genetic Optimization for Deep-Feature-Guided Low-Light Image Enhancement
por: Datta, Nirjhor, et al.
Publicado: (2025)

An Advanced Features Extraction Module for Remote Sensing Image Super-Resolution
por: Sultan, Naveed, et al.
Publicado: (2024)

VTinker: Guided Flow Upsampling and Texture Mapping for High-Resolution Video Frame Interpolation
por: Wu, Chenyang, et al.
Publicado: (2025)

Layout-Corrector: Alleviating Layout Sticking Phenomenon in Discrete Diffusion Model
por: Iwai, Shoma, et al.
Publicado: (2024)

HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement
por: Yan, Qingsen, et al.
Publicado: (2025)

Super-Resolution Enhancement of Medical Images Based on Diffusion Model: An Optimization Scheme for Low-Resolution Gastric Images
por: Jia, Haozhe
Publicado: (2025)

Arbitrary-Resolution and Arbitrary-Scale Face Super-Resolution with Implicit Representation Networks
por: Tsai, Yi Ting, et al.
Publicado: (2025)

LGFN: Lightweight Light Field Image Super-Resolution using Local Convolution Modulation and Global Attention Feature Extraction
por: Yu, Zhongxin, et al.
Publicado: (2024)

Remote Sensing Image Super-Resolution for Imbalanced Textures: A Texture-Aware Diffusion Framework
por: Zhang, Enzhuo, et al.
Publicado: (2026)

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

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

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

HoliSDiP: Image Super-Resolution via Holistic Semantics and Diffusion Prior
por: Tsao, Li-Yuan, et al.
Publicado: (2024)

Time-Aware One Step Diffusion Network for Real-World Image Super-Resolution
por: Zhang, Tianyi, et al.
Publicado: (2025)

Bidirectional Image-Event Guided Fusion Framework for Low-Light Image Enhancement
por: Liu, Zhanwen, et al.
Publicado: (2025)

Textural-Perceptual Joint Learning for No-Reference Super-Resolution Image Quality Assessment
por: Liu, Yuqing, et al.
Publicado: (2022)

Generative Adversarial Networks for Image Super-Resolution: A Survey
por: Wu, Ziang, et al.
Publicado: (2022)

Perceive, Understand and Restore: Real-World Image Super-Resolution with Autoregressive Multimodal Generative Models
por: Wei, Hongyang, et al.
Publicado: (2025)

HAAT: Hybrid Attention Aggregation Transformer for Image Super-Resolution
por: Lai, Song-Jiang, et al.
Publicado: (2024)

Training-free, Perceptually Consistent Low-Resolution Previews with High-Resolution Image for Efficient Workflows of Diffusion Models
por: Jeong, Wongi, et al.
Publicado: (2026)

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

Image Super-Resolution-Based Signal Enhancement in Bistatic ISAC
por: Wang, Yi, et al.
Publicado: (2025)

Self-Cascaded Diffusion Models for Arbitrary-Scale Image Super-Resolution
por: Bang, Junseo, et al.
Publicado: (2025)

Two Heads Better than One: Dual Degradation Representation for Blind Super-Resolution
por: Yuan, Hsuan, et al.
Publicado: (2025)

Efficient Face Super-Resolution via Wavelet-based Feature Enhancement Network
por: Li, Wenjie, et al.
Publicado: (2024)