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Rolling Shutter Correction

Rolling Shutter Correction

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–160 of 216 papers

TitleStatusHype
Unrolled Wirtinger Flow with Deep Decoding Priors for Phaseless Imaging—0
Unrolling SVT to obtain computationally efficient SVT for n-qubit quantum state tomography—0
Unrolling the Shutter: CNN to Correct Motion Distortions—0
Using Deep Neural Networks for Estimating Loop Unrolling Factor—0
Joint Visual Semantic Reasoning: Multi-Stage Decoder for Text Recognition—0
Learned Collaborative Stereo Refinement—0
Learned reconstructions for practical mask-based lensless imaging—0
Learning-Assisted Algorithm Unrolling for Online Optimization with Budget Constraints—0
Learning Implicit Generative Models by Teaching Explicit Ones—0
Learning Structure-And-Motion-Aware Rolling Shutter Correction—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