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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 71–80 of 179 papers

TitleStatusHype
How to Exploit the Transferability of Learned Image Compression to Conventional Codecs—0
Deep Inverse Tone Mapping Using LDR Based Learning for Estimating HDR Images with Absolute Luminance—0
Global-Local Image Perceptual Score (GLIPS): Evaluating Photorealistic Quality of AI-Generated Images—0
An Unsupervised Information-Theoretic Perceptual Quality Metric—0
Adversarial Distortion for Learned Video Compression—0
A Compression Objective and a Cycle Loss for Neural Image Compression—0
Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion—0
Generalizability of Deep Adult Lung Segmentation Models to the Pediatric Population: A Retrospective Study—0
Gated Context Model with Embedded Priors for Deep Image Compression—0
DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression—0
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