SOTAVerified

SSIM

Papers

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Showing 926–950 of 1336 papers

TitleStatusHype
IXGS-Intraoperative 3D Reconstruction from Sparse, Arbitrarily Posed Real X-rays—0
JCCS-PFGM: A Novel Circle-Supervision based Poisson Flow Generative Model for Multiphase CECT Progressive Low-Dose Reconstruction with Joint Condition—0
HVS-Based Perceptual Color Compression of Image Data—0
JND-Based Perceptual Optimization For Learned Image Compression—0
Joint bi-modal image reconstruction of DOT and XCT with an extended Mumford-Shah functional—0
Joint Demosaicing and Denoising with Double Deep Image Priors—0
Joint Demosaicing and Super-Resolution (JDSR): Network Design and Perceptual Optimization—0
Joint Face Super-Resolution and Deblurring Using a Generative Adversarial Network—0
KinD-LCE Curve Estimation And Retinex Fusion On Low-Light Image—0
K-Space-Aware Cross-Modality Score for Synthesized Neuroimage Quality Assessment—0
Label-free prediction of fluorescence markers in bovine satellite cells using deep learning—0
LANTERN: learn analysis transform network for dynamic magnetic resonance imaging with small dataset—0
Large Receptive Field Networks for High-Scale Image Super-Resolution—0
Latent Magic: An Investigation into Adversarial Examples Crafted in the Semantic Latent Space—0
Latent Semantic Diffusion-based Channel Adaptive De-Noising SemCom for Future 6G Systems—0
Causal Contextual Prediction for Learned Image Compression—0
Latent Space Consistency for Sparse-View CT Reconstruction—0
Learned Block-based Hybrid Image Compression—0
Learned Correction Methods for Ultrasound Computed Tomography Imaging Using Simplified Physics Models—0
Learned Full Waveform Inversion Incorporating Task Information for Ultrasound Computed Tomography—0
Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution—0
Learned Image Compression with Generalized Octave Convolution and Cross-Resolution Parameter Estimation—0
Learned Image Compression with Separate Hyperprior Decoders—0
Learned SIRT for Cone Beam Computed Tomography Reconstruction—0
Learning a Deep Convolution Network with Turing Test Adversaries for Microscopy Image Super Resolution—0
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Benchmark Results

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