SOTAVerified

Rolling Shutter Correction

Rolling Shutter Correction

Papers

Showing 201–216 of 216 papers

TitleStatusHype
Proximal Alternating Direction Network: A Globally Converged Deep Unrolling Framework—0
Rolling Shutter Correction in Manhattan World—0
Unrolled Memory Inner-Products: An Abstract GPU Operator for Efficient Vision-Related Computations—0
Variational Generative Stochastic Networks with Collaborative ShapingCode0
Learned Primal-dual ReconstructionCode0
Unrolling the Shutter: CNN to Correct Motion Distortions—0
DeepPermNet: Visual Permutation Learning—0
CLTune: A Generic Auto-Tuner for OpenCL KernelsCode0
A Deep Primal-Dual Network for Guided Depth Super-Resolution—0
ATGV-Net: Accurate Depth Super-Resolution—0
Learning to Co-Generate Object Proposals With a Deep Structured Network—0
Generating images with recurrent adversarial networksCode0
Online Sequence Training of Recurrent Neural Networks with Connectionist Temporal Classification—0
Deformable Part Models are Convolutional Neural NetworksCode0
Slice Normalized Dynamic Markov Logic Networks—0
Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference—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