SOTAVerified

SSIM

Papers

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Showing 1076–1100 of 1336 papers

TitleStatusHype
Determining Image similarity with Quasi-Euclidean Metric—0
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network—0
Global Image Sentiment Transfer—0
An Unsupervised Information-Theoretic Perceptual Quality Metric—0
A Spatial RNN Codec for End-to-End Image Compression—0
FCN+RL: A Fully Convolutional Network followed by Refinement Layers to Offline Handwritten Signature Segmentation—0
End-to-end Optimized Video Compression with MV-Residual Prediction—0
Bat Optimized Watershed based Segmentation of Lamina Cribrosa—0
Local semi-supervised approach to brain tissue classification in child brain MRI—0
HVS-Based Perceptual Color Compression of Image Data—0
WSMN: An optimized multipurpose blind watermarking in Shearlet domain using MLP and NSGA-II—0
Deep 3D Pan via Local adaptive "t-shaped" convolutions with global and local adaptive dilations—0
Non-line-of-sight imaging off a Phong surface through deep learning—0
SSIM-Based CTU-Level Joint Optimal Bit Allocation and Rate Distortion Optimization—0
SimUSR: A Simple but Strong Baseline for Unsupervised Image Super-resolution—0
End-to-End Learning for Video Frame Compression with Self-Attention—0
Adversarial Distortion for Learned Video Compression—0
Deep Learning Improves Contrast in Low-Fluence Photoacoustic Imaging—0
Moire Image Restoration using Multi Level Hyper Vision NetCode0
Emulation of cosmological mass maps with conditional generative adversarial networks—0
3-D Context Entropy Model for Improved Practical Image Compression—0
Feedback Recurrent Autoencoder for Video Compression—0
Arbitrary Scale Super-Resolution for Brain MRI ImagesCode0
Theoretical Insights into the Use of Structural Similarity Index In Generative Models and Inferential Autoencoders—0
LGVTON: A Landmark Guided Approach to Virtual Try-On—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RectiNetSSIM0.55—Unverified
2RectiNet-v2SSIM0.51—Unverified
3DewarpNetSSIM0.49—Unverified
4DocUNetSSIM0.41—Unverified