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 41–50 of 179 papers

TitleStatusHype
DocUNet: Document Image Unwarping via a Stacked U-NetCode0
Pretext Task Adversarial Learning for Unpaired Low-field to Ultra High-field MRI SynthesisCode0
DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression NetworksCode0
Observer Dependent Lossy Image CompressionCode0
Learning to Compress Videos without Computing MotionCode0
MCUCoder: Adaptive Bitrate Learned Video Compression for IoT DevicesCode0
Learned Image Compression with Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual ModulesCode0
Deep learning-based bias transfer for overcoming laboratory differences of microscopic imagesCode0
LadleNet: A Two-Stage UNet for Infrared Image to Visible Image Translation Guided by Semantic SegmentationCode0
Learning-Based Practical Light Field Image Compression Using A Disparity-Aware ModelCode0
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