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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 21–30 of 179 papers

TitleStatusHype
End-to-end Optimized Image CompressionCode1
End-to-End Rate-Distortion Optimized Learned Hierarchical Bi-Directional Video CompressionCode1
A Gated and Bifurcated Stacked U-Net Module for Document Image DewarpingCode1
Joint Autoregressive and Hierarchical Priors for Learned Image CompressionCode1
PO-ELIC: Perception-Oriented Efficient Learned Image CodingCode1
Bidirectional Stereo Image Compression with Cross-Dimensional Entropy ModelCode1
ADC-Net: An Open-Source Deep Learning Network for Automated Dispersion Compensation in Optical Coherence TomographyCode1
CompressAI: a PyTorch library and evaluation platform for end-to-end compression researchCode1
Spatiotemporal Entropy Model is All You Need for Learned Video CompressionCode1
Unified Signal Compression Using a GAN with Iterative Latent Representation OptimizationCode1
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