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Rolling Shutter Correction

Rolling Shutter Correction

Papers

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Showing 131–140 of 216 papers

TitleStatusHype
Sampling and Recovery of Graph Signals based on Graph Neural Networks—0
Scalable Sinkhorn Backpropagation—0
SEQUENCE-LEVEL FEATURES: HOW GRU AND LSTM CELLS CAPTURE N-GRAMS—0
Simulating Liquids with Graph Networks—0
Slice Normalized Dynamic Markov Logic Networks—0
SlowFast Rolling-Unrolling LSTMs for Action Anticipation in Egocentric Videos—0
Software Pipelining for Quantum Loop Programs—0
SOM-Net: Unrolling the Subspace-based Optimization for Solving Full-wave Inverse Scattering Problems—0
StableMotion: Repurposing Diffusion-Based Image Priors for Motion Estimation—0
Stochastic Primal-Dual Deep Unrolling—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