SOTAVerified

Rolling Shutter Correction

Rolling Shutter Correction

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–25 of 216 papers

TitleStatusHype
StableMotion: Repurposing Diffusion-Based Image Priors for Motion Estimation—0
SelfDRSC++: Self-Supervised Learning for Dual Reversed Rolling Shutter CorrectionCode0
Rolling Shutter Correction with Intermediate Distortion Flow EstimationCode1
EVS-assisted Joint Deblurring Rolling-Shutter Correction and Video Frame Interpolation through Sensor Inverse Modeling—0
Stochastic Unrolled Federated LearningCode0
UniINR: Event-guided Unified Rolling Shutter Correction, Deblurring, and InterpolationCode1
Basis Pursuit Denoising via Recurrent Neural Network Applied to Super-resolving SAR Tomography—0
Neural Image Re-ExposureCode0
A Compound Gaussian Least Squares Algorithm and Unrolled Network for Linear Inverse ProblemsCode0
Improving Language Model Negotiation with Self-Play and In-Context Learning from AI FeedbackCode2
Towards Nonlinear-Motion-Aware and Occlusion-Robust Rolling Shutter CorrectionCode0
SMUG: Towards robust MRI reconstruction by smoothed unrollingCode0
A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection in OFDM SystemsCode1
Hyperspectral Compressive Wavefront Sensing—0
Closed-Loop Transcription via Convolutional Sparse Coding—0
Hubbard-Stratonovich Detector for Simple Trainable MIMO Signal Detection—0
Towards Vision Transformer Unrolling Fixed-Point Algorithm: a Case Study on Image Restoration—0
Reachability Analysis of Neural Network Control SystemsCode0
Backpropagation of Unrolled Solvers with Folded Optimization—0
Training End-to-End Unrolled Iterative Neural Networks for SPECT Image Reconstruction—0
Algorithm Unrolling-Based Distributed Optimization for RIS-Assisted Cell-Free Networks—0
Learning Deep MRI Reconstruction Models from Scratch in Low-Data RegimesCode0
Machine Learning for Large-Scale Optimization in 6G Wireless Networks—0
Deep Homography Mixture for Single Image Rolling Shutter CorrectionCode1
Joint Appearance and Motion Learning for Efficient Rolling Shutter CorrectionCode1
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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