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Rolling Shutter Correction

Rolling Shutter Correction

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–125 of 216 papers

TitleStatusHype
Learning Variational Models with Unrolling and Bilevel Optimization—0
Lipschitz Bound Analysis of Neural Networks—0
Loop Unrolled Shallow Equilibrium Regularizer (LUSER) -- A Memory-Efficient Inverse Problem Solver—0
Low-light Image Enhancement by Retinex Based Algorithm Unrolling and Adjustment—0
Machine Learning for Large-Scale Optimization in 6G Wireless Networks—0
MetaInv-Net: Meta Inversion Network for Sparse View CT Image Reconstruction—0
Mixed X-Ray Image Separation for Artworks with Concealed Designs—0
Model-based Deep Medical Imaging: the roadmap of generalizing iterative reconstruction model using deep learning—0
Model-inspired Deep Learning for Light-Field Microscopy with Application to Neuron Localization—0
Model-Value Inconsistency as a Signal for Epistemic Uncertainty—0
Multimodal Unrolled Robust PCA for Background Foreground Separation—0
Multispectral Illumination Estimation Using Deep Unrolling Network—0
NEURAL MARIONETTE: A Transformer-based Multi-action Human Motion Synthesis System—0
Noise2Inpaint: Learning Referenceless Denoising by Inpainting Unrolling—0
Online Sequence Training of Recurrent Neural Networks with Connectionist Temporal Classification—0
Operator Sketching for Deep Unrolling Networks—0
Photon-Limited Deblurring using Algorithm Unrolling—0
Pragmatically Informative Image Captioning with Character-Level Inference—0
Propagation for Dynamic Continuous Time Chain Event Graphs—0
Proposition d'un modèle pour l'optimisation automatique de boucles dans le compilateur Tiramisu : cas d'optimisation de déroulage—0
Provable Learning-based Algorithm For Sparse Recovery—0
Proximal Alternating Direction Network: A Globally Converged Deep Unrolling Framework—0
Recurrent Convolution for Compact and Cost-Adjustable Neural Networks: An Empirical Study—0
Recurrent Convolutions: A Model Compression Point of View—0
Regularizing Instabilities in Image Reconstruction Arising from Learned Denoisers—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