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Rolling Shutter Correction

Rolling Shutter Correction

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 126–150 of 216 papers

TitleStatusHype
SEQUENCE-LEVEL FEATURES: HOW GRU AND LSTM CELLS CAPTURE N-GRAMS—0
Software Pipelining for Quantum Loop Programs—0
LEARN++: Recurrent Dual-Domain Reconstruction Network for Compressed Sensing CTCode0
Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image EnhancementCode1
Dual Geometric Graph Network (DG2N) -- Iterative network for deformable shape alignment—0
Cost Function Unrolling in Unsupervised Optical FlowCode0
Compiling Spiking Neural Networks to Mitigate Neuromorphic Hardware Constraints—0
FlowStep3D: Model Unrolling for Self-Supervised Scene Flow EstimationCode0
IMU-Assisted Learning of Single-View Rolling Shutter CorrectionCode1
Sampling and Recovery of Graph Signals based on Graph Neural Networks—0
Hybrid Backpropagation Parallel Reservoir Networks—0
Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking—0
Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response JacobiansCode1
Unrolling of Deep Graph Total Variation for Image DenoisingCode0
Training Stronger Baselines for Learning to OptimizeCode1
Bi-level Score Matching for Learning Energy-based Latent Variable ModelsCode1
A Deep-Unfolded Reference-Based RPCA Network For Video Foreground-Background Separation—0
Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial Decomposition—0
High-resolution Multi-spectral Imaging with Diffractive Lenses and Learned Reconstruction—0
Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training DataCode1
Exponential Signal Reconstruction with Deep Hankel Matrix Factorization—0
Propagation for Dynamic Continuous Time Chain Event Graphs—0
Training Variational Networks with Multi-Domain Simulations: Speed-of-Sound Image Reconstruction—0
Deep Low-rank Prior in Dynamic MR Imaging—0
Noise2Inpaint: Learning Referenceless Denoising by Inpainting Unrolling—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