SOTAVerified

Rolling Shutter Correction

Rolling Shutter Correction

Papers

Showing 1120 of 216 papers

TitleStatusHype
HYDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural NetworksCode1
Hyperparameter Tuning is All You Need for LISTACode1
Joint Appearance and Motion Learning for Efficient Rolling Shutter CorrectionCode1
LADMM-Net: An Unrolled Deep Network For Spectral Image Fusion From Compressive DataCode1
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image ProcessingCode1
A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection in OFDM SystemsCode1
Coordinated Sum-Rate Maximization in Multicell MU-MIMO with Deep UnrollingCode1
Deep Homography Mixture for Single Image Rolling Shutter CorrectionCode1
Adversarial Regularization as Stackelberg Game: An Unrolled Optimization ApproachCode1
UniINR: Event-guided Unified Rolling Shutter Correction, Deblurring, and InterpolationCode1
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Benchmark Results

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