SOTAVerified

SSIM

Papers

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Showing 1226–1250 of 1336 papers

TitleStatusHype
Feature Selection based on PCA and PSO for Multimodal Medical Image Fusion using DTCWT—0
Fed-NDIF: A Noise-Embedded Federated Diffusion Model For Low-Count Whole-Body PET Denoising—0
FedSynthCT-Brain: A Federated Learning Framework for Multi-Institutional Brain MRI-to-CT Synthesis—0
Feedback Recurrent Autoencoder for Video Compression—0
Fire-Image-DenseNet (FIDN) for predicting wildfire burnt area using remote sensing data—0
Fisheye Distortion Rectification from Deep Straight Lines—0
Five Pitfalls When Assessing Synthetic Medical Images with Reference Metrics—0
Flexible Conditional Image Generation of Missing Data with Learned Mental Maps—0
FloAt: Flow Warping of Self-Attention for Clothing Animation Generation—0
FPANet: Frequency-based Video Demoireing using Frame-level Post Alignment—0
FREGAN : an application of generative adversarial networks in enhancing the frame rate of videos—0
Freqformer: Frequency-Domain Transformer for 3-D Visualization and Quantification of Human Retinal Circulation—0
From Hours to Seconds: Towards 100x Faster Quantitative Phase Imaging via Differentiable Microscopy—0
Fully Convolutional Model for Variable Bit Length and Lossy High Density Compression of Mammograms—0
FundusGAN: A Hierarchical Feature-Aware Generative Framework for High-Fidelity Fundus Image Generation—0
FuseFormer: A Transformer for Visual and Thermal Image Fusion—0
FUSION: Frequency-guided Underwater Spatial Image recOnstructioN—0
Fusion of Deep and Non-Deep Methods for Fast Super-Resolution of Satellite Images—0
Fusion of Infrared and Visible Images based on Spatial-Channel Attentional Mechanism—0
Future frame prediction in chest cine MR imaging using the PCA respiratory motion model and dynamically trained recurrent neural networks—0
GAF: Gaussian Avatar Reconstruction from Monocular Videos via Multi-view Diffusion—0
GAN-Based Architecture for Low-dose Computed Tomography Imaging Denoising—0
GAN-based Image Compression with Improved RDO Process—0
GAN-based synthetic FDG PET images from T1 brain MRI can serve to improve performance of deep unsupervised anomaly detection models—0
GANCompress: GAN-Enhanced Neural Image Compression with Binary Spherical Quantization—0
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Benchmark Results

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