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Extracter: Efficient Texture Matching with Attention and Gradient Enhancing for Large Scale Image Super Resolution

https://doi.org/10.2139/ssrn.5347487
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Efficient Spatio-Temporal Recurrent Neural Network for Video Deblurring
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Feature Representation Matters: End-to-End Learning for Reference-Based Image Super-Resolution
inferredcites →https://doi.org/10.1007/978-3-030-58595-2_4openalex-snapshot
Towards Content-Independent Multi-Reference Super-Resolution: Adaptive Pattern Matching and Feature Aggregation
inferredcites →https://doi.org/10.1007/978-3-031-26313-2_26openalex-snapshot
Fine-Grained Image Style Transfer with Visual Transformers
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/s11042-023-16786-9openalex-snapshot
A Review of Single Image Super Resolution Techniques using Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/4.996openalex-snapshot
Design of an image edge detection filter using the Sobel operator
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot
ImageNet: A large-scale hierarchical image database
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.2016.207openalex-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.2019.00158openalex-snapshot
Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting
inferredcites →https://doi.org/10.1109/cvpr.2019.00817openalex-snapshot
Image Super-Resolution by Neural Texture Transfer
inferredcites →https://doi.org/10.1109/cvpr.2019.00953openalex-snapshot
Deformable ConvNets V2: More Deformable, Better Results
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00583openalex-snapshot
Learning Texture Transformer Network for Image Super-Resolution
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00630openalex-snapshot
MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00584openalex-snapshot
Task Decoupled Framework for Reference-based Super-Resolution
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/iccphot.2012.6215221openalex-snapshot
Super-resolution from internet-scale scene matching
inferredcites →https://doi.org/10.1109/iccv.2017.89openalex-snapshot
Deformable Convolutional Networks
inferredcites →https://doi.org/10.1109/icip.2008.4711973openalex-snapshot
Understanding and simplifying the structural similarity metric
inferredcites →https://doi.org/10.1109/icpr.2010.579openalex-snapshot
Image Quality Metrics: PSNR vs. SSIM
inferredcites →https://doi.org/10.1109/jstars.2023.3252585openalex-snapshot
Gradient Prior Dilated Convolution Network for Remote Sensing Image Super-Resolution
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/10.1145/3604937openalex-snapshot
Double-Layer Search and Adaptive Pooling Fusion for Reference-Based Image Super-Resolution
inferredcites →https://doi.org/10.1167/16.12.326openalex-snapshot
A Neural Algorithm of Artistic Style
inferredcites →https://doi.org/10.17863/cam.51996openalex-snapshot
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
inferredcites →https://doi.org/10.3390/s22114119openalex-snapshot
Dual Projection Fusion for Reference-Based Image Super-Resolution
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.2106.01863openalex-snapshot
Robust Reference-based Super-Resolution via C2-Matching
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