SOTAVerified

Rolling Shutter Correction

Rolling Shutter Correction

Papers

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Showing 31–40 of 216 papers

TitleStatusHype
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image ProcessingCode1
Deep Manifold Learning for Dynamic MR ImagingCode1
A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection in OFDM SystemsCode1
Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response JacobiansCode1
Learning Adaptive Warping for Real-World Rolling Shutter CorrectionCode1
Deep Homography Mixture for Single Image Rolling Shutter CorrectionCode1
UniINR: Event-guided Unified Rolling Shutter Correction, Deblurring, and InterpolationCode1
IMU-Assisted Learning of Single-View Rolling Shutter CorrectionCode1
Adversarial Regularization as Stackelberg Game: An Unrolled Optimization ApproachCode1
Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed RepresentationsCode0
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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