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Rolling Shutter Correction

Rolling Shutter Correction

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 216 papers

TitleStatusHype
HYDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural NetworksCode1
Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image EnhancementCode1
IMU-Assisted Learning of Single-View Rolling Shutter CorrectionCode1
Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response JacobiansCode1
Training Stronger Baselines for Learning to OptimizeCode1
Bi-level Score Matching for Learning Energy-based Latent Variable ModelsCode1
Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training DataCode1
Deep Shutter Unrolling NetworkCode1
Rolling-Unrolling LSTMs for Action Anticipation from First-Person VideoCode1
Orthogonal Over-Parameterized TrainingCode1
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image ProcessingCode1
Unrolling Ternary Neural NetworksCode1
Spike-Train Level Backpropagation for Training Deep Recurrent Spiking Neural NetworksCode1
What Would You Expect? Anticipating Egocentric Actions with Rolling-Unrolling LSTMs and Modality AttentionCode1
StableMotion: Repurposing Diffusion-Based Image Priors for Motion Estimation—0
SelfDRSC++: Self-Supervised Learning for Dual Reversed Rolling Shutter CorrectionCode0
EVS-assisted Joint Deblurring Rolling-Shutter Correction and Video Frame Interpolation through Sensor Inverse Modeling—0
Stochastic Unrolled Federated LearningCode0
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
Towards Nonlinear-Motion-Aware and Occlusion-Robust Rolling Shutter CorrectionCode0
SMUG: Towards robust MRI reconstruction by smoothed unrollingCode0
Hyperspectral Compressive Wavefront Sensing—0
Closed-Loop Transcription via Convolutional Sparse Coding—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