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Rolling Shutter Correction

Rolling Shutter Correction

Papers

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Showing 101–110 of 216 papers

TitleStatusHype
Improved Model based Deep Learning using Monotone Operator Learning (MOL)—0
Deep Image Prior using Stein's Unbiased Risk Estimator: SURE-DIP—0
On Training Implicit ModelsCode0
Robust lEarned Shrinkage-Thresholding (REST): Robust unrolling for sparse recover—0
Stochastic Primal-Dual Deep Unrolling—0
Photon-Limited Deblurring using Algorithm Unrolling—0
Learning Structured Sparse Matrices for Signal Recovery via Unrolled Optimization—0
Unrolled Variational Bayesian Algorithm for Image Blind DeconvolutionCode0
Unrolling Particles: Unsupervised Learning of Sampling DistributionsCode0
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DFRSC-3FramesAverage PSNR (dB)34.48—Unverified
2QRSC-5FramesAverage PSNR (dB)33.5—Unverified
3DFRSC-2FramesAverage PSNR (dB)33.39—Unverified
4JAMNet-2FramesAverage PSNR (dB)32.93—Unverified
5AdaRSC-3FramesAverage PSNR (dB)28.23—Unverified
6SUNet-2FramesAverage PSNR (dB)27.76—Unverified
7JCDAverage PSNR (dB)25.59—Unverified
8DSUNAverage PSNR (dB)25.21—Unverified