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Structure-aware Meta-fusion for Image Super-resolution

https://doi.org/10.1145/3477553
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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/10.1007/978-3-319-46448-0_35openalex-snapshot
Convolutional Oriented Boundaries
inferredcites →https://doi.org/10.1007/978-3-319-46466-4_37openalex-snapshot
Learning to Learn: Model Regression Networks for Easy Small Sample Learning
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/s11042-016-4020-zopenalex-snapshot
Sketch-based manga retrieval using manga109 dataset
inferredcites →https://doi.org/10.1016/j.neucom.2019.06.103openalex-snapshot
Deep learning-based image super-resolution considering quantitative and perceptual quality
inferredcites →https://doi.org/10.1109/38.988747openalex-snapshot
Example-based super-resolution
inferredcites →https://doi.org/10.1109/cvpr.1993openalex-snapshot
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/cvpr.2004.1315043openalex-snapshot
Super-resolution through neighbor embedding
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.2017.19openalex-snapshot
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
inferredcites →https://doi.org/10.1109/cvpr.2018.00010openalex-snapshot
Finding Tiny Faces in the Wild with Generative Adversarial Network
inferredcites →https://doi.org/10.1109/cvpr.2018.00070openalex-snapshot
Recovering Realistic Texture in Image Super-Resolution by Deep Spatial Feature Transform
inferredcites →https://doi.org/10.1109/cvpr.2018.00652openalex-snapshot
The Perception-Distortion Tradeoff
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.2019.00170openalex-snapshot
Blind Super-Resolution With Iterative Kernel Correction
inferredcites →https://doi.org/10.1109/cvpr.2019.00179openalex-snapshot
Deep Network Interpolation for Continuous Imagery Effect Transition
inferredcites →https://doi.org/10.1109/cvpr.2019.00402openalex-snapshot
Recurrent Back-Projection Network for Video Super-Resolution
inferredcites →https://doi.org/10.1109/cvpr.2019.00817openalex-snapshot
Image Super-Resolution by Neural Texture Transfer
inferredcites →https://doi.org/10.1109/cvpr.2019.00831openalex-snapshot
Natural and Realistic Single Image Super-Resolution With Explicit Natural Manifold Discrimination
inferredcites →https://doi.org/10.1109/cvpr.2019.01077openalex-snapshot
Fast Spatio-Temporal Residual Network for Video Super-Resolution
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00243openalex-snapshot
Residual Feature Aggregation Network for Image Super-Resolution
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00328openalex-snapshot
Deep Unfolding Network for Image Super-Resolution
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00488openalex-snapshot
Exploring Sparsity in Image Super-Resolution for Efficient Inference
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01044openalex-snapshot
Unsupervised Degradation Representation Learning for Blind Super-Resolution
inferredcites →https://doi.org/10.1109/cvprw.2017.149openalex-snapshot
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results
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/cvprw.2017.151openalex-snapshot
Enhanced Deep Residual Networks for Single Image Super-Resolution
inferredcites →https://doi.org/10.1109/cvprw.2019.00254openalex-snapshot
SCAN: Spatial Color Attention Networks for Real Single Image Super-Resolution
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/iccv.2013.241openalex-snapshot
Anchored Neighborhood Regression for Fast Example-Based Super-Resolution
inferredcites →https://doi.org/10.1109/iccv.2015.164openalex-snapshot
Holistically-Nested Edge Detection
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/lsp.2012.2227726openalex-snapshot
Making a “Completely Blind” Image Quality Analyzer
inferredcites →https://doi.org/10.1109/tpami.2015.2439281openalex-snapshot
Image Super-Resolution Using Deep Convolutional Networks
inferredcites →https://doi.org/10.1145/3272127.3275060openalex-snapshot
Image super-resolution via deterministic-stochastic synthesis and local statistical rectification
inferredcites →https://doi.org/10.5244/c.26.135openalex-snapshot
Low-Complexity Single-Image Super-Resolution based on Nonnegative Neighbor Embedding
inferredcites →https://doi.org/10.9733/jgg.170512.1topenalex-snapshot
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What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-981-99-0357-3_127openalex-snapshot
A GAN-Based Superresolution Network for Infrared Power Equipment Images
inferred← citeshttps://doi.org/10.1016/j.aei.2026.105145openalex-snapshot
Maturity-aware fruit detection in real orchard scenes using super-resolution enhanced YOLOv13n
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.130003openalex-snapshot
Texture dominated no-reference quality assessment for high resolution image by multi-scale mechanism
inferred← citeshttps://doi.org/10.1038/s41597-025-05118-1openalex-snapshot
An open paradigm dataset for intelligent monitoring of underground drilling operations in coal mines
inferred← citeshttps://doi.org/10.1145/3539576openalex-snapshot
Meta-MMFNet: Meta-learning-based Multi-model Fusion Network for Micro-expression Recognition
inferred← citeshttps://doi.org/10.1145/3589963openalex-snapshot
Compressed Screen Content Image Super Resolution
inferred← citeshttps://doi.org/10.1145/3592613openalex-snapshot
Recurrent Multi-scale Approximation-Guided Network for Single Image Super-Resolution
inferred← citeshttps://doi.org/10.1145/3595924openalex-snapshot
Text Image Super-Resolution Guided by Text Structure and Embedding Priors
inferred← citeshttps://doi.org/10.1145/3608952openalex-snapshot
Cascading Blend Network for Image Inpainting
inferred← citeshttps://doi.org/10.1145/3612925openalex-snapshot
On Content-Aware Post-Processing: Adapting Statistically Learned Models to Dynamic Content
inferred← citeshttps://doi.org/10.1145/3616376openalex-snapshot
An Image Arbitrary-Scale Super-Resolution Network Using Frequency-domain Information
inferred← citeshttps://doi.org/10.1145/3639407openalex-snapshot
Context-detail-aware United Network for Single Image Deraining
inferred← citeshttps://doi.org/10.1145/3640467openalex-snapshot
A Reconfigurable Framework for Neural Network Based Video In-Loop Filtering
inferred← citeshttps://doi.org/10.1145/3665246openalex-snapshot
Detail-preserving Joint Image Upsampling
inferred← citeshttps://doi.org/10.1145/3690387openalex-snapshot
Cross-Modal Face Super-Resolution Based on Quasi-Siamese Domain Transfer Fusion Network
inferred← citeshttps://doi.org/10.1145/3696452openalex-snapshot
TSFormer: Tracking Structure Transformer for Image Inpainting
inferred← citeshttps://doi.org/10.3837/tiis.2022.09.003openalex-snapshot
Cascaded Residual Densely Connected Network for Image Super-Resolution
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