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 161–170 of 179 papers

TitleStatusHype
Neural Video Compression using Spatio-Temporal Priors—0
An Autoencoder-based Learned Image Compressor: Description of Challenge Proposal by NCTU—0
CAE-ADMM: Implicit Bitrate Optimization via ADMM-based Pruning in Compressive AutoencodersCode0
Adversarial Learning of Semantic Relevance in Text to Image Synthesis—0
Image Quality Assessment and Color DifferenceCode0
Towards improved lossy image compression: Human image reconstruction with public-domain images—0
Learning a Single Tucker Decomposition Network for Lossy Image Compression with Multiple Bits-Per-Pixel Rates—0
DSSLIC: Deep Semantic Segmentation-based Layered Image CompressionCode0
Deep Image Compression via End-to-End LearningCode0
DocUNet: Document Image Unwarping via a Stacked U-NetCode0
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