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Rolling Shutter Correction

Rolling Shutter Correction

Papers

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Showing 71–80 of 216 papers

TitleStatusHype
Learning Variational Models with Unrolling and Bilevel Optimization—0
AETomo-Net: A Novel Deep Learning Network for Tomographic SAR Imaging Based on Multi-dimensional Features—0
SOM-Net: Unrolling the Subspace-based Optimization for Solving Full-wave Inverse Scattering Problems—0
Practical Operator Sketching Framework for Accelerating Iterative Data-Driven Solutions in Inverse Problems—0
LWGNet: Learned Wirtinger Gradients for Fourier Ptychographic Phase RetrievalCode0
Combining Internal and External Constraints for Unrolling Shutter in Videos—0
Unrolled algorithms for group synchronizationCode0
Lipschitz Bound Analysis of Neural Networks—0
Uncertainty Quantification for Deep Unrolling-Based Computational Imaging—0
Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective—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