SOTAVerified

SSIM

Papers

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Showing 826–850 of 1336 papers

TitleStatusHype
Transformer and GAN Based Super-Resolution Reconstruction Network for Medical Images—0
Transforming H&E images into IHC: A Variance-Penalized GAN for Precision Oncology—0
TRLG: Fragile blind quad watermarking for image tamper detection and recovery by providing compact digests with quality optimized using LWT and GA—0
TRUST -- Transformer-Driven U-Net for Sparse Target Recovery—0
TS3IM: Unveiling Structural Similarity in Time Series through Image Similarity Assessment Insights—0
Two-stage Deep Denoising with Self-guided Noise Attention for Multimodal Medical Images—0
Two-View Topogram-Based Anatomy-Guided CT Reconstruction for Prospective Risk Minimization—0
UltraGauss: Ultrafast Gaussian Reconstruction of 3D Ultrasound Volumes—0
Uncertainty-Driven Adaptive Sampling via GANs—0
UniFlowRestore: A General Video Restoration Framework via Flow Matching and Prompt Guidance—0
A Unified Model for Compressed Sensing MRI Across Undersampling Patterns—0
Universal End-to-End Neural Network for Lossy Image Compression—0
Universal Learned Image Compression With Low Computational Cost—0
Unsupervised Deep Multi-focus Image Fusion—0
Unsupervised Deformable Ultrasound Image Registration and Its Application for Vessel Segmentation—0
Unsupervised Domain Alignment to Mitigate Low Level Dataset Biases—0
Unsupervised Knowledge-Transfer for Learned Image Reconstruction—0
Untrained Perceptual Loss for image denoising of line-like structures in MR images—0
UnWave-Net: Unrolled Wavelet Network for Compton Tomography Image Reconstruction—0
Using a Generative Adversarial Network for CT Normalization and its Impact on Radiomic Features—0
Using Generative Models to Produce Realistic Populations of the United Kingdom Windstorms—0
Using Spatial Diffusions for Optoacoustic Tomography Image Reconstruction—0
USTC-TD: A Test Dataset and Benchmark for Image and Video Coding in 2020s—0
VALD-MD: Visual Attribution via Latent Diffusion for Medical Diagnostics—0
Variable Resolution Sampling and Deep Learning Image Recovery for Accelerated Multi-Spectral MRI Near Metal Implants—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RectiNetSSIM0.55—Unverified
2RectiNet-v2SSIM0.51—Unverified
3DewarpNetSSIM0.49—Unverified
4DocUNetSSIM0.41—Unverified