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Single Image Super-Resolution with Arbitrary Magnification Based on High-Frequency Attention Network

https://doi.org/10.3390/math10020275

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-01234-2_18openalex-snapshot

Image Super-Resolution Using Very Deep Residual Channel Attention Networks

inferredcites →https://doi.org/10.1007/978-3-030-58558-7_42openalex-snapshot

SRFlow: Learning the Super-Resolution Space with Normalizing Flow

inferredcites →https://doi.org/10.1007/978-3-030-58610-2_12openalex-snapshot

Single Image Super-Resolution via a Holistic Attention Network

inferredcites →https://doi.org/10.1007/978-3-319-46475-6_25openalex-snapshot

Accelerating the Super-Resolution Convolutional Neural Network

inferredcites →https://doi.org/10.1007/s11760-019-01548-8openalex-snapshot

Faster image super-resolution by improved frequency-domain neural networks

inferredcites →https://doi.org/10.1016/j.patrec.2017.03.014openalex-snapshot

Convolutional neural networks for wavelet domain super resolution

inferredcites →https://doi.org/10.1109/cvpr.2016.182openalex-snapshot

Accurate Image Super-Resolution Using Very Deep Convolutional Networks

inferredcites →https://doi.org/10.1109/cvpr.2016.207openalex-snapshot

Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

inferredcites →https://doi.org/10.1109/cvpr.2017.19openalex-snapshot

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

inferredcites →https://doi.org/10.1109/cvpr.2018.00179openalex-snapshot

Deep Back-Projection Networks for Super-Resolution

inferredcites →https://doi.org/10.1109/cvpr.2018.00262openalex-snapshot

Residual Dense Network for Image Super-Resolution

inferredcites →https://doi.org/10.1109/cvpr.2019.00167openalex-snapshot

Meta-SR: A Magnification-Arbitrary Network for Super-Resolution

inferredcites →https://doi.org/10.1109/cvpr.2019.01132openalex-snapshot

Second-Order Attention Network for Single Image Super-Resolution

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00545openalex-snapshot

Closed-Loop Matters: Dual Regression Networks for Single Image Super-Resolution

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00573openalex-snapshot

Image Super-Resolution With Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining

inferredcites →https://doi.org/10.1109/cvpr46437.2021.00769openalex-snapshot

SRWarp: Generalized Image Super-Resolution under Arbitrary Transformation

inferredcites →https://doi.org/10.1109/cvprw.2017.150openalex-snapshot

NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study

inferredcites →https://doi.org/10.1109/cvprw53098.2021.00046openalex-snapshot

SRFlow-DA: Super-Resolution Using Normalizing Flow with Deep Convolutional Block

inferredcites →https://doi.org/10.1109/cvprw53098.2021.00053openalex-snapshot

Noise Conditional Flow Model for Learning the Super-Resolution Space

inferredcites →https://doi.org/10.1109/iccv.2001.937655openalex-snapshot

A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics

inferredcites →https://doi.org/10.1109/iccv48922.2021.00476openalex-snapshot

Learning A Single Network for Scale-Arbitrary Super-Resolution

inferredcites →https://doi.org/10.1109/iccv48922.2021.00986openalex-snapshot

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

inferredcites →https://doi.org/10.1109/iccvw54120.2021.00210openalex-snapshot

SwinIR: Image Restoration Using Swin Transformer

inferredcites →https://doi.org/10.1109/ijcnn.2018.8489155openalex-snapshot

A Frequency Domain Neural Network for Fast Image Super-resolution

inferredcites →https://doi.org/10.1109/tgrs.2020.3038653openalex-snapshot

A Unified Network for Arbitrary Scale Super-Resolution of Video Satellite Images

inferredcites →https://doi.org/10.1142/s0129065721500374openalex-snapshot

Arbitrary Scale Super-Resolution for Medical Images

inferredcites →https://doi.org/10.17694/bajece.714293openalex-snapshot

Single-Image Super-Resolution Analysis in DCT Spectral Domain

inferredcites →https://doi.org/10.3390/math9192494openalex-snapshot

Super-Resolved Recognition of License Plate Characters

inferredcites →https://doi.org/10.3390/s21144892openalex-snapshot

Depth Completion and Super-Resolution with Arbitrary Scale Factors for Indoor Scenes

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4899956openalex-extracted

Safasr: An Arbitrary-Scale Image Super-Resolution Network Based on Spatial Frequency Domain Feature Fusion

inferred← citeshttps://doi.org/10.1007/978-3-031-98356-6_28openalex-snapshot

Satellite Image Analysis Using Convolution Neural Networks for Environmental Monitoring

inferred← citeshttps://doi.org/10.1016/j.inffus.2023.102015openalex-snapshot

Arbitrary-scale Super-resolution via Deep Learning: A Comprehensive Survey

inferred← citeshttps://doi.org/10.1109/icme57554.2024.10688044openalex-snapshot

ESR-DDLN : Enhanced Single Image Super-Resolution Via Dual-Domain Learning Network

inferred← citeshttps://doi.org/10.1109/jiot.2026.3675658openalex-snapshot

SafaSR: An Arbitrary-Scale Image Super-Resolution Network Based on Multidomain Feature Fusion for Enhancing Diverse IoT Vision

inferred← citeshttps://doi.org/10.1145/3616376openalex-snapshot

An Image Arbitrary-Scale Super-Resolution Network Using Frequency-domain Information

inferred← citeshttps://doi.org/10.1155/2022/8229580openalex-snapshot

Film and Video Quality Optimization Using Attention Mechanism-Embedded Lightweight Neural Network Model

inferred← citeshttps://doi.org/10.3390/electronics11193038openalex-snapshot

A Novel Deep-Learning-Based Enhanced Texture Transformer Network for Reference Image Super-Resolution

inferred← citeshttps://doi.org/10.3390/math10213966openalex-snapshot

Infusion-Net: Inter- and Intra-Weighted Cross-Fusion Network for Multispectral Object Detection

inferred← citeshttps://doi.org/10.3390/math10214114openalex-snapshot

OASIS-Net: Morphological Attention Ensemble Learning for Surface Defect Detection

inferred← citeshttps://doi.org/10.3390/math10224260openalex-snapshot

Latent-PER: ICA-Latent Code Editing Framework for Portrait Emotion Recognition

inferred← citeshttps://doi.org/10.3390/math11183954openalex-snapshot

Memory-Efficient Discrete Cosine Transform Domain Weight Modulation Transformer for Arbitrary-Scale Super-Resolution

inferred← citeshttps://doi.org/10.3390/math12050690openalex-snapshot

Auxcoformer: Auxiliary and Contrastive Transformer for Robust Crack Detection in Adverse Weather Conditions

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