Cover Image

Emulating Self-attention with Convolution for Efficient Image Super-Resolution

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lee, Dongheon, Yun, Seokju, Ro, Youngmin
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Implicit Grid Convolution for Multi-Scale Image Super-Resolution
by: Lee, Dongheon, et al.
Published: (2024)

Partial Large Kernel CNNs for Efficient Super-Resolution
by: Lee, Dongheon, et al.
Published: (2024)

FFNet: MetaMixer-based Efficient Convolutional Mixer Design
by: Yun, Seokju, et al.
Published: (2024)

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning
by: Yun, Seokju, et al.
Published: (2024)

SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design
by: Yun, Seokju, et al.
Published: (2024)

StAR: Segment Anything Reasoner
by: Yun, Seokju, et al.
Published: (2026)

Arbitrary-Scale Downscaling of Tidal Current Data Using Implicit Continuous Representation
by: Lee, Dongheon, et al.
Published: (2024)

RecycleLoRA: Rank-Revealing QR-Based Dual-LoRA Subspace Adaptation for Domain Generalized Semantic Segmentation
by: Cho, Chanseul, et al.
Published: (2026)

Distillation-Supervised Convolutional Low-Rank Adaptation for Efficient Image Super-Resolution
by: Chai, Xinning, et al.
Published: (2025)

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

Exploring Frequency-Inspired Optimization in Transformer for Efficient Single Image Super-Resolution
by: Li, Ao, et al.
Published: (2023)

A Dual-Domain Convolutional Network for Hyperspectral Single-Image Super-Resolution
by: Karayaka, Murat, et al.
Published: (2025)

CAS-ViT: Convolutional Additive Self-attention Vision Transformers for Efficient Mobile Applications
by: Zhang, Tianfang, et al.
Published: (2024)

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

Outlier-Aware Post-Training Quantization for Image Super-Resolution
by: Wang, Hailing, et al.
Published: (2025)

Efficient Real-world Image Super-Resolution Via Adaptive Directional Gradient Convolution
by: Peng, Long, et al.
Published: (2024)

UniFormer: Unifying Convolution and Self-attention for Visual Recognition
by: Li, Kunchang, et al.
Published: (2022)

Hi-Mamba: Hierarchical Mamba for Efficient Image Super-Resolution
by: Qiao, Junbo, et al.
Published: (2024)

HiT-SR: Hierarchical Transformer for Efficient Image Super-Resolution
by: Zhang, Xiang, et al.
Published: (2024)

Self-Supervised Weighted Image Guided Quantitative MRI Super-Resolution
by: Samadifardheris, Alireza, et al.
Published: (2025)

Self-Supervised Super-Resolution for Sentinel-5P Hyperspectral Images
by: Ali, Hyam Omar, et al.
Published: (2026)

Efficient Perceptual Image Super Resolution: AIM 2025 Study and Benchmark
by: Longarela, Bruno, et al.
Published: (2025)

Efficient Image Super-Resolution with Feature Interaction Weighted Hybrid Network
by: Li, Wenjie, et al.
Published: (2022)

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

Efficient Few-Shot Neural Architecture Search by Counting the Number of Nonlinear Functions
by: Oh, Youngmin, et al.
Published: (2024)

Fully $1\times1$ Convolutional Network for Lightweight Image Super-Resolution
by: Wu, Gang, et al.
Published: (2023)

Beyond Image Super-Resolution for Image Recognition with Task-Driven Perceptual Loss
by: Kim, Jaeha, et al.
Published: (2024)

OV-Stitcher: A Global Context-Aware Framework for Training-Free Open-Vocabulary Semantic Segmentation
by: Moon, Seungjae, et al.
Published: (2026)

Burst Image Super-Resolution with Base Frame Selection
by: Kim, Sanghyun, et al.
Published: (2024)

Self-Prior Guided Mamba-UNet Networks for Medical Image Super-Resolution
by: Ji, Zexin, et al.
Published: (2024)

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

Noise-free Optimization in Early Training Steps for Image Super-Resolution
by: Lee, MinKyu, et al.
Published: (2023)

Enhanced Self-Supervised Multi-Image Super-Resolution for Camera Array Images
by: Chen, Yating, et al.
Published: (2026)

Burst Image Super-Resolution with Mamba
by: Unal, Ozan, et al.
Published: (2025)

Knowledge Distillation with Multi-granularity Mixture of Priors for Image Super-Resolution
by: Li, Simiao, et al.
Published: (2024)

Versatile and Efficient Medical Image Super-Resolution Via Frequency-Gated Mamba
by: Huang, Wenfeng, et al.
Published: (2025)

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

CATANet: Efficient Content-Aware Token Aggregation for Lightweight Image Super-Resolution
by: Liu, Xin, et al.
Published: (2025)

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

PatchScaler: An Efficient Patch-Independent Diffusion Model for Image Super-Resolution
by: Liu, Yong, et al.
Published: (2024)