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 26–50 of 179 papers

TitleStatusHype
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
S2LIC: Learned Image Compression with the SwinV2 Block, Adaptive Channel-wise and Global-inter Attention ContextCode1
Interpolation variable rate image compressionCode1
The Unreasonable Effectiveness of Linear Prediction as a Perceptual MetricCode1
Advancing Learned Video Compression with In-loop Frame PredictionCode1
Conditional Probability Models for Deep Image CompressionCode0
An End-to-End Joint Learning Scheme of Image Compression and Quality Enhancement with Improved Entropy MinimizationCode0
PAD-Net: A Perception-Aided Single Image Dehazing NetworkCode0
CAE-ADMM: Implicit Bitrate Optimization via ADMM-based Pruning in Compressive AutoencodersCode0
A Hitchhiker's Guide to Structural SimilarityCode0
Neural Image Compression via Non-Local Attention Optimization and Improved Context ModelingCode0
DSSLIC: Deep Semantic Segmentation-based Layered Image CompressionCode0
A study on the adequacy of common IQA measures for medical imagesCode0
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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