Efficient Star Distillation Attention Network for Lightweight Image Super-Resolution

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hao, Fangwei, Du, Ji, Kong, Desheng, Wu, Jiesheng, Xu, Jing, Li, Ping
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Dilated Strip Attention Network for Image Restoration
by: Hao, Fangwei, et al.
Published: (2024)

Large coordinate kernel attention network for lightweight image super-resolution
by: Hao, Fangwei, et al.
Published: (2024)

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

Sebica: Lightweight Spatial and Efficient Bidirectional Channel Attention Super Resolution Network
by: Liu, Chongxiao
Published: (2024)

Large Kernel Distillation Network for Efficient Single Image Super-Resolution
by: Xie, Chengxing, et al.
Published: (2024)

Spectral Dynamic Attention Network for Hyperspectral Image Super-Resolution
by: Zhang, Tengya, et al.
Published: (2026)

NAFRSSR: a Lightweight Recursive Network for Efficient Stereo Image Super-Resolution
by: Chen, Yihong, et al.
Published: (2024)

GRFormer: Grouped Residual Self-Attention for Lightweight Single Image Super-Resolution
by: Li, Yuzhen, et al.
Published: (2024)

Dual-domain Modulation Network for Lightweight Image Super-Resolution
by: Li, Wenjie, et al.
Published: (2025)

Involution and BSConv Multi-Depth Distillation Network for Lightweight Image Super-Resolution
by: Khatami-Rizi, Akram, et al.
Published: (2025)

Sewer Image Super-Resolution with Depth Priors and Its Lightweight Network
by: Pan, Gang, et al.
Published: (2024)

Infrared Image Super-Resolution via Lightweight Information Split Network
by: Liu, Shijie, et al.
Published: (2024)

Swift Parameter-free Attention Network for Efficient Super-Resolution
by: Wan, Cheng, et al.
Published: (2023)

Multi-scale Attention Network for Single Image Super-Resolution
by: Wang, Yan, et al.
Published: (2022)

EchoSR: Efficient Context Harnessing for Lightweight Image Super-Resolution
by: Zhao, Hanli, et al.
Published: (2026)

Research on Image Super-Resolution Reconstruction Mechanism based on Convolutional Neural Network
by: Yan, Hao, et al.
Published: (2024)

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network
by: Muhammad, Usman, et al.
Published: (2025)

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution
by: Muhammad, Usman, et al.
Published: (2025)

Structural Similarity-Inspired Unfolding for Lightweight Image Super-Resolution
by: Ni, Zhangkai, et al.
Published: (2025)

Efficient Single Image Super-Resolution with Entropy Attention and Receptive Field Augmentation
by: Zhao, Xiaole, et al.
Published: (2024)

Large Kernel Modulation Network for Efficient Image Super-Resolution
by: Hu, Quanwei, et al.
Published: (2025)

Multi-Depth Branch Network for Efficient Image Super-Resolution
by: Tian, Huiyuan, et al.
Published: (2023)

MTKD: Multi-Teacher Knowledge Distillation for Image Super-Resolution
by: Jiang, Yuxuan, et al.
Published: (2024)

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

Iterative Network for Image Super-Resolution
by: Liu, Yuqing, et al.
Published: (2020)

Pairwise Distance Distillation for Unsupervised Real-World Image Super-Resolution
by: Zhang, Yuehan, et al.
Published: (2024)

HASN: Hybrid Attention Separable Network for Efficient Image Super-resolution
by: Cao, Weifeng, et al.
Published: (2024)

SCALES: Boost Binary Neural Network for Image Super-Resolution with Efficient Scalings
by: Wei, Renjie, et al.
Published: (2023)

See More Details: Efficient Image Super-Resolution by Experts Mining
by: Zamfir, Eduard, et al.
Published: (2024)

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

Super Efficient Neural Network for Compression Artifacts Reduction and Super Resolution
by: Ma, Wen, et al.
Published: (2024)

Transforming Image Super-Resolution: A ConvFormer-based Efficient Approach
by: Wu, Gang, et al.
Published: (2024)

$L^2$FMamba: Lightweight Light Field Image Super-Resolution with State Space Model
by: Wei, Zeqiang, et al.
Published: (2025)

A Lightweight Image Super-Resolution Transformer Trained on Low-Resolution Images Only
by: Möller, Björn, et al.
Published: (2025)

HSRMamba: Efficient Wavelet Stripe State Space Model for Hyperspectral Image Super-Resolution
by: Li, Baisong, et al.
Published: (2025)

One-Step Effective Diffusion Network for Real-World Image Super-Resolution
by: Wu, Rongyuan, et al.
Published: (2024)

DVMSR: Distillated Vision Mamba for Efficient Super-Resolution
by: Lei, Xiaoyan, et al.
Published: (2024)

CTSR: Controllable Fidelity-Realness Trade-off Distillation for Real-World Image Super Resolution
by: Li, Runyi, et al.
Published: (2025)

MambaLiteSR: Image Super-Resolution with Low-Rank Mamba using Knowledge Distillation
by: Aalishah, Romina, et al.
Published: (2025)

Overcoming Distribution Mismatch in Quantizing Image Super-Resolution Networks
by: Hong, Cheeun, et al.
Published: (2023)