Imagen de Portada

From Local Windows to Adaptive Candidates via Individualized Exploratory: Rethinking Attention for Image Super-Resolution

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Meng, Chunyu, Long, Wei, Gu, Shuhang
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

Transcending the Limit of Local Window: Advanced Super-Resolution Transformer with Adaptive Token Dictionary
por: Zhang, Leheng, et al.
Publicado: (2024)

Progressive Focused Transformer for Single Image Super-Resolution
por: Long, Wei, et al.
Publicado: (2025)

Video Super-Resolution Transformer with Masked Inter&Intra-Frame Attention
por: Zhou, Xingyu, et al.
Publicado: (2024)

Texture Vector-Quantization and Reconstruction Aware Prediction for Generative Super-Resolution
por: Li, Qifan, et al.
Publicado: (2025)

Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution
por: Tran, Dinh Phu, et al.
Publicado: (2024)

Uncertainty-guided Perturbation for Image Super-Resolution Diffusion Model
por: Zhang, Leheng, et al.
Publicado: (2025)

Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution
por: Zhou, Xingyu, et al.
Publicado: (2025)

BasicAVSR: Arbitrary-Scale Video Super-Resolution via Image Priors and Enhanced Motion Compensation
por: Shang, Wei, et al.
Publicado: (2025)

NTIRE 2024 Challenge on Stereo Image Super-Resolution: Methods and Results
por: Wang, Longguang, et al.
Publicado: (2024)

ATD: Improved Transformer with Adaptive Token Dictionary for Image Restoration
por: Zhang, Leheng, et al.
Publicado: (2026)

Consistency Trajectory Matching for One-Step Generative Super-Resolution
por: You, Weiyi, et al.
Publicado: (2025)

DSwinIR: Rethinking Window-based Attention for Image Restoration
por: Wu, Gang, et al.
Publicado: (2025)

Efficient Image Super-Resolution with Multi-Scale Spatial Adaptive Attention Networks
por: Rao, Sushi, et al.
Publicado: (2026)

Rethinking Image Super-Resolution from Training Data Perspectives
por: Ohtani, Go, et al.
Publicado: (2024)

LocalSR: Image Super-Resolution in Local Region
por: Ji, Bo, et al.
Publicado: (2024)

Rethinking Diffusion Model for Multi-Contrast MRI Super-Resolution
por: Li, Guangyuan, et al.
Publicado: (2024)

RAGSR: Regional Attention Guided Diffusion for Image Super-Resolution
por: He, Haodong, et al.
Publicado: (2025)

Recursive Generalization Transformer for Image Super-Resolution
por: Chen, Zheng, et al.
Publicado: (2023)

Burst Image Super-Resolution via Multi-Cross Attention Encoding and Multi-Scan State-Space Decoding
por: Huang, Tengda, et al.
Publicado: (2025)

Semantic-Guided Global-Local Collaborative Networks for Lightweight Image Super-Resolution
por: Fan, Wanshu, et al.
Publicado: (2025)

Fast Image Super-Resolution via Consistency Rectified Flow
por: Xu, Jiaqi, et al.
Publicado: (2026)

Crafting Query-Aware Selective Attention for Single Image Super-Resolution
por: Kim, Junyoung, et al.
Publicado: (2025)

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution
por: Xie, Chengxing, et al.
Publicado: (2024)

Image Super-Resolution with Text Prompt Diffusion
por: Chen, Zheng, et al.
Publicado: (2023)

Differentiable Vector Quantization for Rate-Distortion Optimization of Generative Image Compression
por: Jiang, Shiyin, et al.
Publicado: (2026)

Rotation Equivariant Arbitrary-scale Image Super-Resolution
por: Xie, Qi, et al.
Publicado: (2025)

Fourier-Guided Attention Upsampling for Image Super-Resolution
por: Choi, Daejune, et al.
Publicado: (2025)

LinearSR: Unlocking Linear Attention for Stable and Efficient Image Super-Resolution
por: Li, Xiaohui, et al.
Publicado: (2025)

Robust Depth Super-Resolution via Adaptive Diffusion Sampling
por: Wang, Kun, et al.
Publicado: (2026)

Improving Consistency in Diffusion Models for Image Super-Resolution
por: Gu, Junhao, et al.
Publicado: (2024)

Local-Global Context-Aware and Structure-Preserving Image Super-Resolution
por: Palit, Sanchar, et al.
Publicado: (2025)

Single Image Super-Resolution Based on Global-Local Information Synergy
por: Qiao, Nianzu, et al.
Publicado: (2024)

Spiking Meets Attention: Efficient Remote Sensing Image Super-Resolution with Attention Spiking Neural Networks
por: Xiao, Yi, et al.
Publicado: (2025)

Efficient Image Super-Resolution via Symmetric Visual Attention Network
por: Wu, Chengxu, et al.
Publicado: (2024)

Feature Alignment with Equivariant Convolutions for Burst Image Super-Resolution
por: Liu, Xinyi, et al.
Publicado: (2025)

RFR-WWANet: Weighted Window Attention-Based Recovery Feature Resolution Network for Unsupervised Image Registration
por: Ma, Mingrui, et al.
Publicado: (2023)

DroneSR: Rethinking Few-shot Thermal Image Super-Resolution from Drone-based Perspective
por: Weng, Zhipeng, et al.
Publicado: (2025)

FluxFlow: Conservative Flow-Matching for Astronomical Image Super-Resolution
por: Liu, Shuhong, et al.
Publicado: (2026)

Efficient Attention-Sharing Information Distillation Transformer for Lightweight Single Image Super-Resolution
por: Park, Karam, et al.
Publicado: (2025)

Jointly RS Image Deblurring and Super-Resolution with Adjustable-Kernel and Multi-Domain Attention
por: Zhang, Yan, et al.
Publicado: (2024)