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MS-SSIM
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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.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
MRI Image Generation Based on Text Prompts
How Learnable Grids Recover Fine Detail in Low Dimensions: A Neural Tangent Kernel Analysis of Multigrid Parametric Encodings
Do image and video quality metrics model low-level human vision?
Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning
Pretext Task Adversarial Learning for Unpaired Low-field to Ultra High-field MRI Synthesis
Seeing Eye to AI? Applying Deep-Feature-Based Similarity Metrics to Information Visualization
FD-LSCIC: Frequency Decomposition-based Learned Screen Content Image Compression
Interleaved Block-based Learned Image Compression with Feature Enhancement and Quantization Error Compensation
DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression
Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion
MCUCoder: Adaptive Bitrate Learned Video Compression for IoT Devices
USTC-TD: A Test Dataset and Benchmark for Image and Video Coding in 2020s
Visual Verity in AI-Generated Imagery: Computational Metrics and Human-Centric Analysis
MicroSSIM: Improved Structural Similarity for Comparing Microscopy Data
Bidirectional Stereo Image Compression with Cross-Dimensional Entropy Model
A Study on the Effect of Color Spaces in Learned Image Compression
Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution
Latent Diffusion Model-Enabled Low-Latency Semantic Communication in the Presence of Semantic Ambiguities and Wireless Channel Noises
Semantic Similarity Score for Measuring Visual Similarity at Semantic Level
Early Stopping Criteria for Training Generative Adversarial Networks in Biomedical Imaging
A study on the adequacy of common IQA measures for medical images
Global-Local Image Perceptual Score (GLIPS): Evaluating Photorealistic Quality of AI-Generated Images
Similarity and Quality Metrics for MR Image-To-Image Translation
S2LIC: Learned Image Compression with the SwinV2 Block, Adaptive Channel-wise and Global-inter Attention Context
SLIC: A Learned Image Codec Using Structure and Color
Spatial Decomposition and Temporal Fusion based Inter Prediction for Learned Video Compression
Semantic Ensemble Loss and Latent Refinement for High-Fidelity Neural Image Compression
Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding
End-to-End Optimized Image Compression with the Frequency-Oriented Transform
VALD-MD: Visual Attribution via Latent Diffusion for Medical Diagnostics
MaskCRT: Masked Conditional Residual Transformer for Learned Video Compression
A Relay System for Semantic Image Transmission based on Shared Feature Extraction and Hyperprior Entropy Compression
Using Diffusion Models to Generate Synthetic Labelled Data for Medical Image Segmentation
Multiscale Motion-Aware and Spatial-Temporal-Channel Contextual Coding Network for Learned Video Compression
The Unreasonable Effectiveness of Linear Prediction as a Perceptual Metric
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