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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

Showing 76100 of 179 papers

TitleStatusHype
Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution0
Visual Verity in AI-Generated Imagery: Computational Metrics and Human-Centric Analysis0
3D Video Quality Metric for 3D Video Compression0
A bone suppression model ensemble to improve COVID-19 detection in chest X-rays0
A Compression Objective and a Cycle Loss for Neural Image Compression0
A Cross Channel Context Model for Latents in Deep Image Compression0
Adaptive Sample-space & Adaptive Probability coding: a neural-network based approach for compression0
Adversarial Distortion for Learned Video Compression0
Adversarial Learning of Semantic Relevance in Text to Image Synthesis0
A GAN-based Tunable Image Compression System0
A lightweight convolutional neural network for image denoising with fine details preservation capability0
An Autoencoder-based Learned Image Compressor: Description of Challenge Proposal by NCTU0
A New Image Codec Paradigm for Human and Machine Uses0
Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding0
An Unsupervised Information-Theoretic Perceptual Quality Metric0
A Relay System for Semantic Image Transmission based on Shared Feature Extraction and Hyperprior Entropy Compression0
A Self-attention Guided Multi-scale Gradient GAN for Diversified X-ray Image Synthesis0
A Spatial RNN Codec for End-to-End Image Compression0
A Study on the Effect of Color Spaces in Learned Image Compression0
Attention Based Image Compression Post-Processing Convolutional Neural Network0
Conditional Entropy Coding for Efficient Video Compression0
Contextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression0
Customized OCT images compression scheme with deep neural network0
Data Augmentation For Medical MR Image Using Generative Adversarial Networks0
DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression0
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