SOTAVerified

MS-SSIM

A MS-SSIM score helps to analyze how much a De-warping module has been able to de-warp a document image from its initial distorted view.

Papers

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Showing 131–140 of 179 papers

TitleStatusHype
Generalized Octave Convolutions for Learned Multi-Frequency Image CompressionCode0
Saliency Driven Perceptual Image Compression—0
A GAN-based Tunable Image Compression System—0
Learned Image Compression with Discretized Gaussian Mixture Likelihoods and Attention ModulesCode1
An End-to-End Joint Learning Scheme of Image Compression and Quality Enhancement with Improved Entropy MinimizationCode0
Multi-scale and Context-adaptive Entropy Model for Image Compression—0
Neural Image Compression via Non-Local Attention Optimization and Improved Context ModelingCode0
Observer Dependent Lossy Image CompressionCode0
Image Super-Resolution Improved by Edge InformationCode0
DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression NetworksCode0
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