SOTAVerified

Rolling Shutter Correction

Rolling Shutter Correction

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 126–150 of 216 papers

TitleStatusHype
A Deep Primal-Dual Network for Guided Depth Super-Resolution—0
A Deep-Unfolded Reference-Based RPCA Network For Video Foreground-Background Separation—0
A Design Space Study for LISTA and Beyond—0
AETomo-Net: A Novel Deep Learning Network for Tomographic SAR Imaging Based on Multi-dimensional Features—0
A Flexible Convolutional Solver for Fast Style Transfers—0
A Flexible Convolutional Solver with Application to Photorealistic Style Transfer—0
Algorithm Unrolling-Based Distributed Optimization for RIS-Assisted Cell-Free Networks—0
Algorithm Unrolling for Massive Access via Deep Neural Network with Theoretical Guarantee—0
Alternating Deep Low-Rank Approach for Exponential Function Reconstruction and Its Biomedical Magnetic Resonance Applications—0
Deep Algorithm Unrolling for Blind Image Deblurring—0
An Algorithm Unrolling Approach to Deep Image Deblurring—0
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset—0
A Review on Deep Learning in Medical Image Reconstruction—0
ATGV-Net: Accurate Depth Super-Resolution—0
Basis Pursuit Denoising via Recurrent Neural Network Applied to Super-resolving SAR Tomography—0
Closed-Loop Transcription via Convolutional Sparse Coding—0
Combining Internal and External Constraints for Unrolling Shutter in Videos—0
Compiling Spiking Neural Networks to Mitigate Neuromorphic Hardware Constraints—0
Consistent Depth of Moving Objects in Video—0
Decoding, Fast and Slow: A Case Study on Balancing Trade-Offs in Incremental, Character-level Pragmatic Reasoning—0
Deep Algorithm Unrolling for Biomedical Imaging—0
Connections between Deep Equilibrium and Sparse Representation Models with Application to Hyperspectral Image Denoising—0
Deep Image Prior using Stein's Unbiased Risk Estimator: SURE-DIP—0
Deep learned SVT: Unrolling singular value thresholding to obtain better MSE—0
Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation—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