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Recurrent Multi-scale Approximation-Guided Network for Single Image Super-Resolution

https://doi.org/10.1145/3592613
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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/10.1007/978-3-319-70096-0_23openalex-snapshot
Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network
inferredcites →https://doi.org/10.1007/978-3-642-27413-8_47openalex-snapshot
On Single Image Scale-Up Using Sparse-Representations
inferredcites →https://doi.org/10.1007/s11263-015-0816-yopenalex-snapshot
ImageNet Large Scale Visual Recognition Challenge
inferredcites →https://doi.org/10.1016/j.patcog.2017.02.027openalex-snapshot
Ensemble based deep networks for image super-resolution
inferredcites →https://doi.org/10.1016/j.patcog.2020.107475openalex-snapshot
Hierarchical dense recursive network for image super-resolution
inferredcites →https://doi.org/10.1016/j.patcog.2021.107931openalex-snapshot
Single-Image super-resolution - When model adaptation matters
inferredcites →https://doi.org/10.1016/j.patcog.2021.108078openalex-snapshot
A novel eye center localization method for multiview faces
inferredcites →https://doi.org/10.1016/j.patcog.2022.109294openalex-snapshot
Recurrent wavelet structure-preserving residual network for single image deraining
inferredcites →https://doi.org/10.1109/access.2021.3063760openalex-snapshot
Volatile-Nonvolatile Memory Network for Progressive Image Super-Resolution
inferredcites →https://doi.org/10.1109/access.2021.3102600openalex-snapshot
Adaptive Fusion of Multi-Scale YOLO for Pedestrian Detection
inferredcites →https://doi.org/10.1109/access.2021.3111983openalex-snapshot
Enhanced Dense Space Attention Network for Super-Resolution Construction From Single Input Image
inferredcites →https://doi.org/10.1109/access.2022.3158936openalex-snapshot
Lightweight Single Image Super-Resolution With Similar Feature Fusion Block
inferredcites →https://doi.org/10.1109/cvpr.2010.5539933openalex-snapshot
Super resolution using edge prior and single image detail synthesis
inferredcites →https://doi.org/10.1109/cvpr.2015.7299156openalex-snapshot
Single image super-resolution from transformed self-exemplars
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.2018.00262openalex-snapshot
Residual Dense Network for Image Super-Resolution
inferredcites →https://doi.org/10.1109/cvpr33180.2016openalex-snapshot
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
inferredcites →https://doi.org/10.1109/cvprw.2017.151openalex-snapshot
Enhanced Deep Residual Networks for Single Image Super-Resolution
inferredcites →https://doi.org/10.1109/cvprw42357.2017openalex-snapshot
2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
inferredcites →https://doi.org/10.1109/iccv.2017.187openalex-snapshot
Wavelet-SRNet: A Wavelet-Based CNN for Multi-scale Face Super Resolution
inferredcites →https://doi.org/10.1109/icivc.2017.7984612openalex-snapshot
Deep convolutional networks super-resolution method for reconstructing high frequency information of the single image
inferredcites →https://doi.org/10.1109/iv.2014.46openalex-snapshot
Super-Resolution Using Edge Modification through Stationary Wavelet Transform
inferredcites →https://doi.org/10.1109/lsp.2013.2248711openalex-snapshot
A Perceptual Image Sharpness Metric Based on Local Edge Gradient Analysis
inferredcites →https://doi.org/10.1109/tgrs.2020.3047363openalex-snapshot
Exploring the Relationship Between 2D/3D Convolution for Hyperspectral Image Super-Resolution
inferredcites →https://doi.org/10.1109/tie.2020.3038096openalex-snapshot
Hyperspectral Image Superresolution Using Spectrum and Feature Context
inferredcites →https://doi.org/10.1109/tim.2022.3142061openalex-snapshot
Pedestrian Detection Using Stationary Wavelet Dilated Residual Super-Resolution
inferredcites →https://doi.org/10.1109/tim.2022.3204081openalex-snapshot
Object Detection Using Structure-Preserving Wavelet Pyramid Reflection Removal Network
inferredcites →https://doi.org/10.1109/tip.2008.2011760openalex-snapshot
A No-Reference Objective Image Sharpness Metric Based on the Notion of Just Noticeable Blur (JNB)
inferredcites →https://doi.org/10.1109/tip.2010.2087767openalex-snapshot
IMAGE Resolution Enhancement by Using Discrete and Stationary Wavelet Decomposition
inferredcites →https://doi.org/10.1109/tip.2010.2095871openalex-snapshot
Gradient Profile Prior and Its Applications in Image Super-Resolution and Enhancement
inferredcites →https://doi.org/10.1109/tip.2015.2414877openalex-snapshot
Single Image Superresolution Based on Gradient Profile Sharpness
inferredcites →https://doi.org/10.1109/tip.2017.2750403openalex-snapshot
Deep Edge Guided Recurrent Residual Learning for Image Super-Resolution
inferredcites →https://doi.org/10.1109/tip.2020.2973769openalex-snapshot
Soft-Edge Assisted Network for Single Image Super-Resolution
inferredcites →https://doi.org/10.1109/tip.2020.3039574openalex-snapshot
Ratio-and-Scale-Aware YOLO for Pedestrian Detection
inferredcites →https://doi.org/10.1109/tip.2020.3044209openalex-snapshot
A Novel Eye Center Localization Method for Head Poses With Large Rotations
inferredcites →https://doi.org/10.1109/tip.2021.3050856openalex-snapshot
Interpretable Detail-Fidelity Attention Network for Single Image Super-Resolution
inferredcites →https://doi.org/10.1109/tpami.2010.161openalex-snapshot
Contour Detection and Hierarchical Image Segmentation
inferredcites →https://doi.org/10.1109/tpami.2015.2439281openalex-snapshot
Image Super-Resolution Using Deep Convolutional Networks
inferredcites →https://doi.org/10.1109/tpami.2018.2865304openalex-snapshot
Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid Networks
inferredcites →https://doi.org/10.1145/3398685openalex-snapshot
Kernel Attention Network for Single Image Super-Resolution
inferredcites →https://doi.org/10.1145/3414838openalex-snapshot
Lightweight Single Image Super-resolution with Dense Connection Distillation Network
inferredcites →https://doi.org/10.1145/3417333openalex-snapshot
Multi-task Learning-based All-in-one Collaboration Framework for Degraded Image Super-resolution
inferredcites →https://doi.org/10.1145/3477553openalex-snapshot
Structure-aware Meta-fusion for Image Super-resolution
inferredcites →https://doi.org/10.1145/3532864openalex-snapshot
Sequential Hierarchical Learning with Distribution Transformation for Image Super-Resolution
inferredcites →https://doi.org/10.1145/3546076openalex-snapshot
Image Super-Resolution via Lightweight Attention-Directed Feature Aggregation Network
inferredcites →https://doi.org/10.1145/3578934openalex-snapshot
HIFGAN: A High-Frequency Information-Based Generative Adversarial Network for Image Super-Resolution
inferredcites →https://doi.org/10.1364/oe.473400openalex-snapshot
Pedestrian detection using a translation-invariant wavelet residual dense super-resolution
inferredcites →https://doi.org/10.1364/oe.479370openalex-snapshot
Structure-transferring edge-enhanced grid dehazing network

What points at this work

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

inferred← citeshttps://doi.org/10.1016/j.rsase.2025.101809openalex-snapshot
Pushing boundaries in remote sensing: A comprehensive review of deep learning for spatial super-resolution
inferred← citeshttps://doi.org/10.1109/access.2025.3545633openalex-snapshot
DRANet: Deep Learning-Based Automatic White Balancing Approach to CVCC
inferred← citeshttps://doi.org/10.1109/icetci62771.2024.10704176openalex-snapshot
Enhancing Image Super-Resolution with GANs Featuring Enhanced Deep Super-Resolution and Attention Mechanisms
inferred← citeshttps://doi.org/10.1109/joe.2025.3583856openalex-snapshot
Enhancement of Underwater Images Using Lattice Transformer at Multiple Scales and Layers
inferred← citeshttps://doi.org/10.1109/tce.2024.3519514openalex-snapshot
Triple-Attribute Perceptron Facial Expression Recognition in Real-World Environments
inferred← citeshttps://doi.org/10.1109/tim.2023.3301866openalex-snapshot
Color Constancy and Color Consistency Using Dynamic Gamut Adjustment
inferred← citeshttps://doi.org/10.1109/tits.2023.3287574openalex-snapshot
Pedestrian Detection Using Multi-Scale Structure-Enhanced Super-Resolution
inferred← citeshttps://doi.org/10.1109/tits.2025.3579726openalex-snapshot
Cross-Attribute Feature-Perceptive Driver Emotion Recognition in Real Scenarios
inferred← citeshttps://doi.org/10.1145/3639407openalex-snapshot
Context-detail-aware United Network for Single Image Deraining
inferred← citeshttps://doi.org/10.1145/3688802openalex-snapshot
Multi-Scale and Multi-Layer Lattice Transformer for Underwater Image Enhancement
inferred← citeshttps://doi.org/10.1145/3735559openalex-snapshot
Multi-Attribute Feature-Aware Network for Facial Expression Recognition
inferred← citeshttps://doi.org/10.1145/3735649openalex-snapshot
Cross-Hierarchical Structure-Detail-Aware Transformer for Single Image Deblurring
inferred← citeshttps://doi.org/10.1145/3799233openalex-snapshot
SITFFormer: A Blind Super-Resolution Framework Preserving Structural Integrity and Texture Fidelity
inferred← citeshttps://doi.org/10.3390/app15020706openalex-snapshot
High-Quality Text-to-Image Generation Using High-Detail Feature-Preserving Network
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