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Rolling Shutter Correction

Rolling Shutter Correction

Papers

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Showing 21–30 of 216 papers

TitleStatusHype
LADMM-Net: An Unrolled Deep Network For Spectral Image Fusion From Compressive DataCode1
Hyperparameter Tuning is All You Need for LISTACode1
Bi-level Score Matching for Learning Energy-based Latent Variable ModelsCode1
Adaptive Unfolding Total Variation Network for Low-Light Image EnhancementCode1
Learning Detail-Structure Alternative Optimization for Blind Super-ResolutionCode1
UniINR: Event-guided Unified Rolling Shutter Correction, Deblurring, and InterpolationCode1
No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time SurfacesCode1
Orthogonal Over-Parameterized TrainingCode1
pyGSL: A Graph Structure Learning ToolkitCode1
RU-Net: Regularized Unrolling Network for Scene Graph GenerationCode1
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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