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A Systematic Survey of Deep Learning-Based Single-Image Super-Resolution
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inferredcites →https://doi.org/10.1007/978-3-030-00928-1_11openalex-snapshot
Efficient and Accurate MRI Super-Resolution Using a Generative Adversarial Network and 3D Multi-level Densely Connected Network
inferredcites →https://doi.org/10.1007/978-3-030-01231-1_12openalex-snapshot
To Learn Image Super-Resolution, Use a GAN to Learn How to Do Image Degradation First
inferredcites →https://doi.org/10.1007/978-3-030-01231-1_6openalex-snapshot
CrossNet: An End-to-End Reference-Based Super Resolution Network Using Cross-Scale Warping
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/10.1007/978-3-030-01237-3_32openalex-snapshot
Multi-scale Residual Network for Image Super-Resolution
inferredcites →https://doi.org/10.1007/978-3-030-01249-6_16openalex-snapshot
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network
inferredcites →https://doi.org/10.1007/978-3-030-01252-6_12openalex-snapshot
Super-Identity Convolutional Neural Network for Face Hallucination
inferredcites →https://doi.org/10.1007/978-3-030-01270-0_27openalex-snapshot
SRFeat: Single Image Super-Resolution with Feature Discrimination
inferredcites →https://doi.org/10.1007/978-3-030-04224-0_47openalex-snapshot
An Effective Single-Image Super-Resolution Model Using Squeeze-and-Excitation Networks
inferredcites →https://doi.org/10.1007/978-3-030-58586-0_28openalex-snapshot
Learning with Privileged Information for Efficient Image Super-Resolution
inferredcites →https://doi.org/10.1007/978-3-030-58592-1_18openalex-snapshot
Spatial-Angular Interaction for Light Field Image Super-Resolution
inferredcites →https://doi.org/10.1007/978-3-030-58595-2_34openalex-snapshot
PAMS: Quantized Super-Resolution via Parameterized Max Scale
inferredcites →https://doi.org/10.1007/978-3-030-58598-3_7openalex-snapshot
Component Divide-and-Conquer for Real-World Image Super-Resolution
inferredcites →https://doi.org/10.1007/978-3-030-58621-8_37openalex-snapshot
PIPAL: A Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration
inferredcites →https://doi.org/10.1007/978-3-030-67070-2_2openalex-snapshot
Residual Feature Distillation Network for Lightweight Image Super-Resolution
inferredcites →https://doi.org/10.1007/978-3-030-67070-2_6openalex-snapshot
Multi-attention Based Ultra Lightweight Image Super-Resolution
inferredcites →https://doi.org/10.1007/978-3-030-87231-1_30openalex-snapshot
Task Transformer Network for Joint MRI Reconstruction and Super-Resolution
inferredcites →https://doi.org/10.1007/978-3-031-19790-1_39openalex-snapshot
Efficient Long-Range Attention Network for Image Super-Resolution
inferredcites →https://doi.org/10.1007/978-3-031-19797-0_8openalex-snapshot
VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder
inferredcites →https://doi.org/10.1007/978-3-031-20071-7_2openalex-snapshot
Simple Baselines for Image Restoration
inferredcites →https://doi.org/10.1007/978-3-319-10593-2_13openalex-snapshot
Learning a Deep Convolutional Network for Image Super-Resolution
inferredcites →https://doi.org/10.1007/978-3-319-46454-1_37openalex-snapshot
Deep Cascaded Bi-Network for Face Hallucination
inferredcites →https://doi.org/10.1007/978-3-319-46475-6_25openalex-snapshot
Accelerating the Super-Resolution Convolutional Neural Network
inferredcites →https://doi.org/10.1007/978-3-319-46475-6_43openalex-snapshot
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
inferredcites →https://doi.org/10.1007/978-3-658-40442-0_9openalex-snapshot
Generative Adversarial Nets
inferredcites →https://doi.org/10.1007/s11042-019-7334-9openalex-snapshot
Multipath feedforward network for single image super-resolution
inferredcites →https://doi.org/10.1007/s11263-024-02168-7openalex-snapshot
Exploiting Diffusion Prior for Real-World Image Super-Resolution
inferredcites →https://doi.org/10.1016/j.cageo.2019.104314openalex-snapshot
CT-image of rock samples super resolution using 3D convolutional neural network
inferredcites →https://doi.org/10.1016/j.cviu.2016.12.009openalex-snapshot
Learning a no-reference quality metric for single-image super-resolution
inferredcites →https://doi.org/10.1016/j.eswa.2019.112854openalex-snapshot
Low resolution face recognition using a two-branch deep convolutional neural network architecture
inferredcites →https://doi.org/10.1016/j.inffus.2021.09.005openalex-snapshot
Real-world single image super-resolution: A brief review
inferredcites →https://doi.org/10.1016/j.neucom.2019.05.066openalex-snapshot
Single image super-resolution via multi-scale residual channel attention network
inferredcites →https://doi.org/10.1016/j.neucom.2019.10.076openalex-snapshot
Multi-scale feature fusion residual network for Single Image Super-Resolution
inferredcites →https://doi.org/10.1016/j.neucom.2022.01.029openalex-snapshot
SRDiff: Single image super-resolution with diffusion probabilistic models
inferredcites →https://doi.org/10.1049/iet-ipr.2018.6057openalex-snapshot
Deep residual refining based pseudo‐multi‐frame network for effective single image super‐resolution
inferredcites →https://doi.org/10.1109/bigmm.2018.8499097openalex-snapshot
Single Hyperspectral Image Super-Resolution with Grouped Deep Recursive Residual Network
inferredcites →https://doi.org/10.1109/cvpr.2004.1315043openalex-snapshot
Super-resolution through neighbor embedding
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/cvpr.2011.5995401openalex-snapshot
Internal statistics of a single natural image
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.2015.7299173openalex-snapshot
Convolutional neural networks at constrained time cost
inferredcites →https://doi.org/10.1109/cvpr.2016.181openalex-snapshot
Deeply-Recursive Convolutional Network for Image 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.2016.206openalex-snapshot
Seven Ways to Improve Example-Based Single Image Super Resolution
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.2016.308openalex-snapshot
Rethinking the Inception Architecture for Computer Vision
inferredcites →https://doi.org/10.1109/cvpr.2016.512openalex-snapshot
Human Pose Estimation with Iterative Error Feedback
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.195openalex-snapshot
Xception: Deep Learning with Depthwise Separable Convolutions
inferredcites →https://doi.org/10.1109/cvpr.2017.243openalex-snapshot
Densely Connected Convolutional Networks
inferredcites →https://doi.org/10.1109/cvpr.2017.298openalex-snapshot
Image Super-Resolution via Deep Recursive Residual Network
inferredcites →https://doi.org/10.1109/cvpr.2017.570openalex-snapshot
Hallucinating Very Low-Resolution Unaligned and Noisy Face Images by Transformative Discriminative Autoencoders
inferredcites →https://doi.org/10.1109/cvpr.2017.618openalex-snapshot
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution
inferredcites →https://doi.org/10.1109/cvpr.2018.00068openalex-snapshot
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
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.2018.00082openalex-snapshot
Fast and Accurate Single Image Super-Resolution via Information Distillation Network
inferredcites →https://doi.org/10.1109/cvpr.2018.00178openalex-snapshot
Image Super-Resolution via Dual-State Recurrent Networks
inferredcites →https://doi.org/10.1109/cvpr.2018.00185openalex-snapshot
Enhancing the Spatial Resolution of Stereo Images Using a Parallax Prior
inferredcites →https://doi.org/10.1109/cvpr.2018.00262openalex-snapshot
Residual Dense Network for Image Super-Resolution
inferredcites →https://doi.org/10.1109/cvpr.2018.00344openalex-snapshot
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations
inferredcites →https://doi.org/10.1109/cvpr.2018.00652openalex-snapshot
The Perception-Distortion Tradeoff
inferredcites →https://doi.org/10.1109/cvpr.2018.00745openalex-snapshot
Squeeze-and-Excitation Networks
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.2019.00399openalex-snapshot
Feedback Network for Image Super-Resolution
inferredcites →https://doi.org/10.1109/cvpr.2019.00453openalex-snapshot
A Style-Based Generator Architecture for Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/cvpr.2019.00817openalex-snapshot
Image Super-Resolution by Neural Texture Transfer
inferredcites →https://doi.org/10.1109/cvpr.2019.00938openalex-snapshot
Variational Information Distillation for Knowledge Transfer
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/cvpr.2019.01193openalex-snapshot
Hyperspectral Image Super-Resolution With Optimized RGB Guidance
inferredcites →https://doi.org/10.1109/cvpr.2019.01253openalex-snapshot
Learning Parallax Attention for Stereo Image Super-Resolution
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00037openalex-snapshot
Unpaired Image Super-Resolution Using Pseudo-Supervision
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00243openalex-snapshot
Residual Feature Aggregation Network for Image Super-Resolution
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00383openalex-snapshot
Dual Super-Resolution Learning for Semantic Segmentation
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/cvpr42600.2020.00559openalex-snapshot
MaskGAN: Towards Diverse and Interactive Facial Image Manipulation
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/cvpr42600.2020.00583openalex-snapshot
Learning Texture Transformer Network for Image Super-Resolution
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00777openalex-snapshot
SAINT: Spatially Aware Interpolation NeTwork for Medical Slice Synthesis
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00779openalex-snapshot
Structure-Preserving Super Resolution With Gradient Guidance
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01251openalex-snapshot
Unified Dynamic Convolutional Network for Super-Resolution With Variational Degradations
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00016openalex-snapshot
DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows
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/cvpr46437.2021.00776openalex-snapshot
Data-Free Knowledge Distillation For Image Super-Resolution
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00905openalex-snapshot
Towards Real-World Blind Face Restoration with Generative Facial Prior
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01044openalex-snapshot
Unsupervised Degradation Representation Learning for Blind Super-Resolution
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01212openalex-snapshot
Pre-Trained Image Processing Transformer
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01318openalex-snapshot
Unsupervised Real-world Image Super Resolution via Domain-distance Aware Training
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00564openalex-snapshot
Restormer: Efficient Transformer for High-Resolution Image Restoration
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00751openalex-snapshot
Blind Face Restoration via Integrating Face Shape and Generative Priors
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01042openalex-snapshot
High-Resolution Image Synthesis with Latent Diffusion Models
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01716openalex-snapshot
Uformer: A General U-Shaped Transformer for Image Restoration
inferredcites →https://doi.org/10.1109/cvpr52729.2023.00170openalex-snapshot
DR2: Diffusion-Based Robust Degradation Remover for Blind Face Restoration
inferredcites →https://doi.org/10.1109/cvpr52729.2023.00206openalex-snapshot
N-Gram in Swin Transformers for Efficient Lightweight Image Super-Resolution
inferredcites →https://doi.org/10.1109/cvpr52729.2023.01384openalex-snapshot
Memory-Friendly Scalable Super-Resolution via Rewinding Lottery Ticket Hypothesis
inferredcites →https://doi.org/10.1109/cvpr52729.2023.01753openalex-snapshot
Efficient and Explicit Modelling of Image Hierarchies for Image Restoration
inferredcites →https://doi.org/10.1109/cvpr52729.2023.02142openalex-snapshot
Activating More Pixels in Image Super-Resolution Transformer
inferredcites →https://doi.org/10.1109/cvpr52729.2023.02143openalex-snapshot
Omni Aggregation Networks for Lightweight Image Super-Resolution
inferredcites →https://doi.org/10.1109/cvpr52733.2024.00276openalex-snapshot
Transcending the Limit of Local Window: Advanced Super-Resolution Transformer with Adaptive Token Dictionary
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.2018.00113openalex-snapshot
Unsupervised Image Super-Resolution Using Cycle-in-Cycle Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/cvprw.2018.00123openalex-snapshot
Image Super-Resolution via Progressive Cascading Residual Network
inferredcites →https://doi.org/10.1109/cvprw.2018.00131openalex-snapshot
A Fully Progressive Approach to Single-Image Super-Resolution
inferredcites →https://doi.org/10.1109/cvprw.2019.00096openalex-snapshot
Efficient Super Resolution Using Binarized Neural Network
inferredcites →https://doi.org/10.1109/cvprw.2019.00232openalex-snapshot
Exemplar Guided Face Image Super-Resolution Without Facial Landmarks
inferredcites →https://doi.org/10.1109/cvprw53098.2021.00086openalex-snapshot
Symmetric Parallax Attention for Stereo Image Super-Resolution
inferredcites →https://doi.org/10.1109/cvprw56347.2022.00061openalex-snapshot
Transformer for Single Image Super-Resolution
inferredcites →https://doi.org/10.1109/cvprw56347.2022.00090openalex-snapshot
MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction
inferredcites →https://doi.org/10.1109/cvprw56347.2022.00099openalex-snapshot
Blueprint Separable Residual Network for Efficient Image Super-Resolution
inferredcites →https://doi.org/10.1109/cvprw56347.2022.00130openalex-snapshot
NAFSSR: Stereo Image Super-Resolution Using NAFNet
inferredcites →https://doi.org/10.1109/cvprw59228.2023.00176openalex-snapshot
Attention Retractable Frequency Fusion Transformer for Image Super Resolution
inferredcites →https://doi.org/10.1109/icassp.2019.8683719openalex-snapshot
Multi-scale Dense Network for 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.2015.425openalex-snapshot
Deep Learning Face Attributes in the Wild
inferredcites →https://doi.org/10.1109/iccv.2017.244openalex-snapshot
Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
inferredcites →https://doi.org/10.1109/iccv.2017.486openalex-snapshot
MemNet: A Persistent Memory Network for Image Restoration
inferredcites →https://doi.org/10.1109/iccv.2017.514openalex-snapshot
Image Super-Resolution Using Dense Skip Connections
inferredcites →https://doi.org/10.1109/iccv.2019.00280openalex-snapshot
SROBB: Targeted Perceptual Loss for Single Image Super-Resolution
inferredcites →https://doi.org/10.1109/iccv.2019.00318openalex-snapshot
Toward Real-World Single Image Super-Resolution: A New Benchmark and a New Model
inferredcites →https://doi.org/10.1109/iccv.2019.00319openalex-snapshot
RankSRGAN: Generative Adversarial Networks With Ranker for Image Super-Resolution
inferredcites →https://doi.org/10.1109/iccv.2019.00467openalex-snapshot
SinGAN: Learning a Generative Model From a Single Natural Image
inferredcites →https://doi.org/10.1109/iccv48922.2021.00236openalex-snapshot
Fourier Space Losses for Efficient Perceptual Image Super-Resolution
inferredcites →https://doi.org/10.1109/iccv48922.2021.00424openalex-snapshot
Context Reasoning Attention Network for Image Super-Resolution
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/iccv51070.2023.01131openalex-snapshot
Dual Aggregation Transformer for Image Super-Resolution
inferredcites →https://doi.org/10.1109/iccv51070.2023.01174openalex-snapshot
SRFormer: Permuted Self-Attention for Single Image Super-Resolution
inferredcites →https://doi.org/10.1109/iccv51070.2023.01175openalex-snapshot
DLGSANet: Lightweight Dynamic Local and Global Self-Attention Network for Image Super-Resolution
inferredcites →https://doi.org/10.1109/iccv51070.2023.01204openalex-snapshot
DiffIR: Efficient Diffusion Model for Image Restoration
inferredcites →https://doi.org/10.1109/iccv51070.2023.02109openalex-snapshot
ESSAformer: Efficient Transformer for Hyperspectral Image Super-resolution
inferredcites →https://doi.org/10.1109/iccvw.2015.17openalex-snapshot
Learning a Deep Convolutional Network for Light-Field Image Super-Resolution
inferredcites →https://doi.org/10.1109/iccvw.2019.00474openalex-snapshot
Lightweight and Accurate Recursive Fractal Network for Image Super-Resolution
inferredcites →https://doi.org/10.1109/iccvw.2019.00478openalex-snapshot
Flickr1024: A Large-Scale Dataset for Stereo Image Super-Resolution
inferredcites →https://doi.org/10.1109/iccvw54120.2021.00210openalex-snapshot
SwinIR: Image Restoration Using Swin Transformer
inferredcites →https://doi.org/10.1109/icme51207.2021.9428136openalex-snapshot
Lightweight Image Super-Resolution with Multi-Scale Feature Interaction Network
inferredcites →https://doi.org/10.1109/icpr48806.2021.9413154openalex-snapshot
Boosting High-Level Vision with Joint Compression Artifacts Reduction and Super-Resolution
inferredcites →https://doi.org/10.1109/lgrs.2023.3248069openalex-snapshot
Remote Sensing Image Super-Resolution via Multiscale Enhancement Network
inferredcites →https://doi.org/10.1109/lsp.2012.2227726openalex-snapshot
Making a “Completely Blind” Image Quality Analyzer
inferredcites →https://doi.org/10.1109/lsp.2017.2669333openalex-snapshot
Light-Field Image Super-Resolution Using Convolutional Neural Network
inferredcites →https://doi.org/10.1109/lsp.2020.2973813openalex-snapshot
A Stereo Attention Module for Stereo Image Super-Resolution
inferredcites →https://doi.org/10.1109/msp.2008.930649openalex-snapshot
Mean squared error: Love it or leave it? A new look at Signal Fidelity Measures
inferredcites →https://doi.org/10.1109/tci.2020.2996075openalex-snapshot
Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery
inferredcites →https://doi.org/10.1109/tci.2023.3261501openalex-snapshot
Light Field Image Super-Resolution Network via Joint Spatial-Angular and Epipolar Information
inferredcites →https://doi.org/10.1109/tcsvt.2020.3027732openalex-snapshot
MDCN: Multi-Scale Dense Cross Network for Image Super-Resolution
inferredcites →https://doi.org/10.1109/tcsvt.2023.3296526openalex-snapshot
Lightweight Image Super-Resolution With Pyramid Clustering Transformer
inferredcites →https://doi.org/10.1109/tcyb.2020.2970104openalex-snapshot
MADNet: A Fast and Lightweight Network for Single-Image Super Resolution
inferredcites →https://doi.org/10.1109/tgrs.2018.2843525openalex-snapshot
A New Deep Generative Network for Unsupervised Remote Sensing Single-Image Super-Resolution
inferredcites →https://doi.org/10.1109/tgrs.2020.3009918openalex-snapshot
Remote Sensing Image Super-Resolution via Mixed High-Order Attention Network
inferredcites →https://doi.org/10.1109/tgrs.2020.3019660openalex-snapshot
Remote Sensing Image Super-Resolution Using Second-Order Multi-Scale Networks
inferredcites →https://doi.org/10.1109/tgrs.2021.3049875openalex-snapshot
A Spectral Grouping and Attention-Driven Residual Dense Network for Hyperspectral Image Super-Resolution
inferredcites →https://doi.org/10.1109/tgrs.2021.3069889openalex-snapshot
Hybrid-Scale Self-Similarity Exploitation for Remote Sensing Image Super-Resolution
inferredcites →https://doi.org/10.1109/tgrs.2022.3199750openalex-snapshot
Dual Learning-Based Graph Neural Network for Remote Sensing Image Super-Resolution
inferredcites →https://doi.org/10.1109/tip.2003.819861openalex-snapshot
Image quality assessment: from error visibility to structural similarity
inferredcites →https://doi.org/10.1109/tip.2010.2050625openalex-snapshot
Image Super-Resolution Via Sparse Representation
inferredcites →https://doi.org/10.1109/tip.2011.2108306openalex-snapshot
Image Deblurring and Super-Resolution by Adaptive Sparse Domain Selection and Adaptive Regularization
inferredcites →https://doi.org/10.1109/tip.2012.2214050openalex-snapshot
No-Reference Image Quality Assessment in the Spatial Domain
inferredcites →https://doi.org/10.1109/tip.2013.2279315openalex-snapshot
Landmark Image Super-Resolution by Retrieving Web Images
inferredcites →https://doi.org/10.1109/tip.2016.2631888openalex-snapshot
Waterloo Exploration Database: New Challenges for Image Quality Assessment Models
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.2018.2834819openalex-snapshot
LFNet: A Novel Bidirectional Recurrent Convolutional Neural Network for Light-Field Image Super-Resolution
inferredcites →https://doi.org/10.1109/tip.2019.2921882openalex-snapshot
Channel Splitting Network for Single MR Image Super-Resolution
inferredcites →https://doi.org/10.1109/tip.2020.2973769openalex-snapshot
Soft-Edge Assisted Network for Single Image Super-Resolution
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Hybrid Pixel-Unshuffled Network for Lightweight Image Super-resolution
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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