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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 111–120 of 179 papers

TitleStatusHype
Learning-Based Practical Light Field Image Compression Using A Disparity-Aware ModelCode0
Deep learning-based bias transfer for overcoming laboratory differences of microscopic imagesCode0
Overparametrization of HyperNetworks at Fixed FLOP-Count Enables Fast Neural Image Enhancement—0
ELF-VC: Efficient Learned Flexible-Rate Video Coding—0
Deep learning-based Edge-aware pre and post-processing methods for JPEG compressed images—0
A Cross Channel Context Model for Latents in Deep Image Compression—0
RectiNet-v2: A stacked network architecture for document image dewarping—0
A Hitchhiker's Guide to Structural SimilarityCode0
Neural Image Compression via Attentional Multi-Scale Back Projection and Frequency Decomposition—0
End-to-End Piece-Wise Unwarping of Document Images—0
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