SOTAVerified

Rolling Shutter Correction

Rolling Shutter Correction

Papers

Showing 125 of 216 papers

TitleStatusHype
Improving Language Model Negotiation with Self-Play and In-Context Learning from AI FeedbackCode2
Rolling Shutter Correction with Intermediate Distortion Flow EstimationCode1
UniINR: Event-guided Unified Rolling Shutter Correction, Deblurring, and InterpolationCode1
A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection in OFDM SystemsCode1
Joint Appearance and Motion Learning for Efficient Rolling Shutter CorrectionCode1
Deep Homography Mixture for Single Image Rolling Shutter CorrectionCode1
ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow RemovalCode1
Learning Detail-Structure Alternative Optimization for Blind Super-ResolutionCode1
pyGSL: A Graph Structure Learning ToolkitCode1
Galaxy Image Deconvolution for Weak Gravitational Lensing with Unrolled Plug-and-Play ADMMCode1
T2LR-Net: An unrolling network learning transformed tensor low-rank prior for dynamic MR image reconstructionCode1
RU-Net: Regularized Unrolling Network for Scene Graph GenerationCode1
Learning Adaptive Warping for Real-World Rolling Shutter CorrectionCode1
No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time SurfacesCode1
Coordinated Sum-Rate Maximization in Multicell MU-MIMO with Deep UnrollingCode1
Gaussian Kernel Mixture Network for Single Image Defocus DeblurringCode1
Hyperparameter Tuning is All You Need for LISTACode1
Photon Limited Non-Blind Deblurring Using Algorithm UnrollingCode1
Adaptive Unfolding Total Variation Network for Low-Light Image EnhancementCode1
Unrolling SGD: Understanding Factors Influencing Machine UnlearningCode1
SUNet: Symmetric Undistortion Network for Rolling Shutter CorrectionCode1
Adversarial Regularization as Stackelberg Game: An Unrolled Optimization ApproachCode1
Towards Rolling Shutter Correction and Deblurring in Dynamic ScenesCode1
Deep Manifold Learning for Dynamic MR ImagingCode1
LADMM-Net: An Unrolled Deep Network For Spectral Image Fusion From Compressive DataCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DFRSC-3FramesAverage PSNR (dB)34.48Unverified
2QRSC-5FramesAverage PSNR (dB)33.5Unverified
3DFRSC-2FramesAverage PSNR (dB)33.39Unverified
4JAMNet-2FramesAverage PSNR (dB)32.93Unverified
5AdaRSC-3FramesAverage PSNR (dB)28.23Unverified
6SUNet-2FramesAverage PSNR (dB)27.76Unverified
7JCDAverage PSNR (dB)25.59Unverified
8DSUNAverage PSNR (dB)25.21Unverified