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Rolling Shutter Correction

Rolling Shutter Correction

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–75 of 216 papers

TitleStatusHype
Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization Algorithms—0
A Flexible Convolutional Solver for Fast Style Transfers—0
Combining Internal and External Constraints for Unrolling Shutter in Videos—0
Differentiable Causal Computations via Delayed Trace—0
Differentiable Optimization of Generalized Nondecomposable Functions using Linear Programs—0
Compiling Spiking Neural Networks to Mitigate Neuromorphic Hardware Constraints—0
Deep Variational Networks with Exponential Weighting for Learning Computed Tomography—0
Consistent Depth of Moving Objects in Video—0
Downlink Massive MIMO Channel Estimation via Deep Unrolling : Sparsity Exploitations in Angular Domain—0
D^2UF: Deep Coded Aperture Design and Unrolling Algorithm for Compressive Spectral Image Fusion—0
Closed-Loop Transcription via Convolutional Sparse Coding—0
Dual Geometric Graph Network (DG2N) -- Iterative network for deformable shape alignment—0
Practical Operator Sketching Framework for Accelerating Iterative Data-Driven Solutions in Inverse Problems—0
Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking—0
Deep Unrolling for Magnetic Resonance Fingerprinting—0
Deep Unrolled Recovery in Sparse Biological Imaging—0
Basis Pursuit Denoising via Recurrent Neural Network Applied to Super-resolving SAR Tomography—0
Deep Rigid Instance Scene Flow—0
ATGV-Net: Accurate Depth Super-Resolution—0
AETomo-Net: A Novel Deep Learning Network for Tomographic SAR Imaging Based on Multi-dimensional Features—0
DeepPermNet: Visual Permutation Learning—0
A Review on Deep Learning in Medical Image Reconstruction—0
Deep Low-rank Prior in Dynamic MR Imaging—0
Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation—0
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset—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