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Symmetrical Residual Connections for Single Image Super-Resolution

https://doi.org/10.1145/3282445
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-319-16808-1_37openalex-snapshot
Super-Resolution Using Sub-Band Self-Similarity
inferredcites →https://doi.org/10.1007/978-3-319-16817-3_8openalex-snapshot
A+: Adjusted Anchored Neighborhood Regression for Fast Super-Resolution
inferredcites →https://doi.org/10.1007/978-3-319-24574-4_28openalex-snapshot
U-Net: Convolutional Networks for Biomedical Image Segmentation
inferredcites →https://doi.org/10.1007/978-3-319-46493-0_38openalex-snapshot
Identity Mappings in Deep Residual Networks
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/10.1109/5.726791openalex-snapshot
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/72.279181openalex-snapshot
Learning long-term dependencies with gradient descent is difficult
inferredcites →https://doi.org/10.1109/cvpr.2015.7299003openalex-snapshot
Fast and accurate image upscaling with super-resolution forests
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.2016.181openalex-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.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
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.2017.618openalex-snapshot
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution
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/iccv.2009.5459271openalex-snapshot
Super-resolution from a single image
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.2013.75openalex-snapshot
Fast Direct Super-Resolution by Simple Functions
inferredcites →https://doi.org/10.1109/iccv.2015.510openalex-snapshot
Learning Spatiotemporal Features with 3D Convolutional 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/icdsp.2013.6622796openalex-snapshot
Super-resolution using neighbor embedding of back-projection residuals
inferredcites →https://doi.org/10.1109/tip.2010.2050625openalex-snapshot
Image Super-Resolution Via Sparse Representation
inferredcites →https://doi.org/10.1109/tip.2018.2812081openalex-snapshot
Adaptive Residual Networks for High-Quality Image Restoration
inferredcites →https://doi.org/10.1109/tpami.2012.95openalex-snapshot
Image Transformation Based on Learning Dictionaries across Image Spaces
inferredcites →https://doi.org/10.1109/tpami.2015.2439281openalex-snapshot
Image Super-Resolution Using Deep Convolutional Networks
inferredcites →https://doi.org/10.1145/1944846.1944852openalex-snapshot
Image and video upscaling from local self-examples
inferredcites →https://doi.org/10.1145/2647868.2654889openalex-snapshot
Caffe
inferredcites →https://doi.org/10.1609/aaai.v31i1.10510openalex-snapshot
Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR Images
inferredcites →https://doi.org/10.1609/aaai.v31i1.11231openalex-snapshot
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.5244/c.26.135openalex-snapshot
Low-Complexity Single-Image Super-Resolution based on Nonnegative Neighbor Embedding

What points at this work

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

inferred← citeshttps://doi.org/10.1007/s00371-021-02193-4openalex-snapshot
Compact and progressive network for enhanced single image super-resolution—ComPrESRNet
inferred← citeshttps://doi.org/10.1007/s11760-025-03880-8openalex-snapshot
Spstnet: image super-resolution using spatial pyramid swin transformer network
inferred← citeshttps://doi.org/10.1016/j.jsb.2023.107991openalex-snapshot
Cell recognition based on atomic force microscopy and modified residual neural network
inferred← citeshttps://doi.org/10.1016/j.jsb.2024.108107openalex-snapshot
High-quality AFM image acquisition of living cells by modified residual encoder-decoder network
inferred← citeshttps://doi.org/10.1109/access.2021.3079519openalex-snapshot
Image Super-Resolution Using Multi-Scale Space Feature and Deformable Convolutional Network
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/10.1145/3377874openalex-snapshot
A Deep Learning Approach for Face Hallucination Guided by Facial Boundary Responses
inferred← citeshttps://doi.org/10.1145/3587468openalex-snapshot
Local Bidirection Recurrent Network for Efficient Video Deblurring with the Fused Temporal Merge Module
inferred← citeshttps://doi.org/10.1145/3589963openalex-snapshot
Compressed Screen Content 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/10.1145/3604937openalex-snapshot
Double-Layer Search and Adaptive Pooling Fusion for Reference-Based Image Super-Resolution
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/10.1145/3694977openalex-snapshot
Deep Shape-Texture Statistics for Completely Blind Image Quality Evaluation
inferred← citeshttps://doi.org/10.17559/tv-20230717000808openalex-snapshot
RoughSet-DDPM: An Image Super-Resolution Method Based on Rough set Denoising Diffusion Probability Model
inferred← citeshttps://doi.org/10.3233/aic-200631openalex-snapshot
The current challenges of automatic recognition of facial expressions: A systematic review
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