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One-Shot Image Restoration

https://doi.org/10.2139/ssrn.4830904
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Elements of Information Theory
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An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
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Sparse and Redundant Representations: From Theory to Applications in Signal and Image Processing
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U-Net: Convolutional Networks for Biomedical Image Segmentation
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Deep Image Prior
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Compressed sensing with coherent and redundant dictionaries
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Sparse seismic deconvolution via recurrent neural network
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Prestack time migration velocity analysis using recurrent neural networks
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Is your dataset big enough? Sample size requirements when using artificial neural networks for discrete choice analysis
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Few-shot transfer learning for intelligent fault diagnosis of machine
inferredcites →https://doi.org/10.1016/j.neunet.2023.08.032openalex-extracted
Information theoretic perspective on sample complexity
inferredcites →https://doi.org/10.1016/j.sigpro.2017.02.016openalex-extracted
Seismic signal recovery based on Earth Q model
inferredcites →https://doi.org/10.1016/j.sigpro.2018.08.013openalex-extracted
Three-dimensional sparse seismic deconvolution based on earth Q model
inferredcites →https://doi.org/10.1038/381607a0openalex-extracted
Emergence of simple-cell receptive field properties by learning a sparse code for natural images
inferredcites →https://doi.org/10.1063/5.0090582openalex-extracted
Few-shot transfer learning for holographic image reconstruction using a recurrent neural network
inferredcites →https://doi.org/10.1088/1742-2140/aa7bc6openalex-extracted
Multichannel sparse spike inversion
inferredcites →https://doi.org/10.1109/cvpr.2000.855856openalex-extracted
Learning from one example through shared densities on transforms
inferredcites →https://doi.org/10.1109/cvpr.2011.5995401openalex-extracted
Internal statistics of a single natural image
inferredcites →https://doi.org/10.1109/cvpr.2015.7298958openalex-extracted
Recurrent convolutional neural network for object recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.19openalex-extracted
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
inferredcites →https://doi.org/10.1109/cvpr.2018.00329openalex-extracted
Zero-Shot Super-Resolution Using Deep Internal Learning
inferredcites →https://doi.org/10.1109/cvpr.2018.00652openalex-extracted
The Perception-Distortion Tradeoff
inferredcites →https://doi.org/10.1109/icassp.2013.6638947openalex-extracted
Speech recognition with deep recurrent neural networks
inferredcites →https://doi.org/10.1109/iccv.2001.937655openalex-extracted
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.2009.5459469openalex-extracted
What is the best multi-stage architecture for object recognition?
inferredcites →https://doi.org/10.1109/msp.2024.3385950openalex-extracted
Deep Internal Learning: Deep learning from a single input
inferredcites →https://doi.org/10.1109/tgrs.2021.3105300openalex-extracted
Convolutional Sparse Coding Fast Approximation With Application to Seismic Reflectivity Estimation
inferredcites →https://doi.org/10.1109/tip.2006.881969openalex-extracted
Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries
inferredcites →https://doi.org/10.1109/tip.2017.2662206openalex-extracted
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
inferredcites →https://doi.org/10.1109/tit.2006.871582openalex-extracted
Compressed sensing
inferredcites →https://doi.org/10.1109/tpami.2008.137openalex-extracted
A Novel Connectionist System for Unconstrained Handwriting Recognition
inferredcites →https://doi.org/10.1109/tsp.2016.2552500openalex-extracted
Stable Support Recovery of Stream of Pulses With Application to Ultrasound Imaging
inferredcites →https://doi.org/10.1109/tsp.2017.2733447openalex-extracted
Working Locally Thinking Globally: Theoretical Guarantees for Convolutional Sparse Coding
inferredcites →https://doi.org/10.1137/050626090openalex-extracted
Signal Recovery by Proximal Forward-Backward Splitting
inferredcites →https://doi.org/10.1137/080716542openalex-extracted
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
inferredcites →https://doi.org/10.1137/16m1102884openalex-extracted
The Little Engine That Could: Regularization by Denoising (RED)
inferredcites →https://doi.org/10.1137/s003614450037906xopenalex-extracted
Atomic Decomposition by Basis Pursuit
inferredcites →https://doi.org/10.1137/s0097539792240406openalex-extracted
Sparse Approximate Solutions to Linear Systems
inferredcites →https://doi.org/10.1145/1553374.1553453openalex-extracted
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
inferredcites →https://doi.org/10.1364/oe.381301openalex-extracted
Probing shallower: perceptual loss trained Phase Extraction Neural Network (PLT-PhENN) for artifact-free reconstruction at low photon budget
inferredcites →https://doi.org/10.1609/aaai.v34i09.7123openalex-extracted
Energy and Policy Considerations for Modern Deep Learning Research
inferredcites →https://doi.org/10.3390/jimaging9110237openalex-extracted
Domain-Aware Few-Shot Learning for Optical Coherence Tomography Noise Reduction
inferredcites →https://doi.org/10.48550/arxiv.1211.5063openalex-extracted
On the difficulty of training Recurrent Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1601.06759openalex-extracted
Pixel Recurrent Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1605.08695openalex-extracted
TensorFlow: A system for large-scale machine learning
inferredcites →https://doi.org/10.48550/arxiv.1606.04080openalex-extracted
Matching Networks for One Shot Learning
inferredcites →https://doi.org/10.48550/arxiv.1805.12076openalex-extracted
Towards Understanding the Role of Over-Parametrization in Generalization of Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1903.10176openalex-extracted
DeepRED: Deep Image Prior Powered by RED
inferredcites →https://doi.org/10.48550/arxiv.1912.01703openalex-extracted
PyTorch: An Imperative Style, High-Performance Deep Learning Library
inferredcites →https://doi.org/10.48550/arxiv.2006.06179openalex-extracted
Recovery and Generalization in Over-Realized Dictionary Learning
inferredcites →https://doi.org/10.48550/arxiv.2007.10319openalex-extracted
MCUNet: Tiny Deep Learning on IoT Devices
inferredcites →https://doi.org/10.48550/arxiv.2209.14267openalex-extracted
Less is More: Rethinking Few-Shot Learning and Recurrent Neural Nets
inferredcites →https://doi.org/10.5201/ipol.2012.l-bm3dopenalex-extracted
An Analysis and Implementation of the BM3D Image Denoising Method
inferredcites →https://doi.org/10.5201/ipol.2013.16openalex-extracted
Implementation of the "Non-Local Bayes" (NL-Bayes) Image Denoising Algorithm
inferredcites →https://doi.org/10.5201/ipol.2018.242openalex-extracted
EPLL: An Image Denoising Method Using a Gaussian Mixture Model Learned on a Large Set of Patches
inferredcites →https://doi.org/10.52202/068431-1667openalex-extracted
On-Device Training Under 256KB Memory
inferredcites →https://doi.org/10.5555/3026877.3026899openalex-snapshot
TensorFlow: A system for large-scale machine learning
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