SOTAVerified

SSIM

Papers

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Showing 901–950 of 1336 papers

TitleStatusHype
A New Image Codec Paradigm for Human and Machine Uses—0
Face Deblurring Based on Separable Normalization and Adaptive Denormalization—0
Semantic Map Injected GAN Training for Image-to-Image Translation—0
Towards Super-Resolution CEST MRI for Visualization of Small StructuresCode0
High-Resolution WiFi Imaging with Reconfigurable Intelligent Surfaces—0
Raw Nav-merge Seismic Data to Subsurface Properties with MLP based Multi-Modal Information Unscrambler—0
Learning-Based Video Coding with Joint Deep Compression and Enhancement—0
Data Augmentation For Medical MR Image Using Generative Adversarial Networks—0
Performance of a GPU- and Time-Efficient Pseudo 3D Network for Magnetic Resonance Image Super-Resolution and Motion Artifact Reduction—0
Temporal Context Mining for Learned Video Compression—0
DeepWiVe: Deep-Learning-Aided Wireless Video Transmission—0
Deep neural networks-based denoising models for CT imaging and their efficacy—0
Image Super-Resolution Using T-Tetromino Pixels—0
End-to-End Learned Image Compression with Quantized Weights and Activations—0
Moment Transform-Based Compressive Sensing in Image Processing—0
Deep Learning Adapted Acceleration for Limited-view Photoacoustic Computed Tomography—0
Versatile Learned Video Compression—0
A bone suppression model ensemble to improve COVID-19 detection in chest X-rays—0
FREGAN : an application of generative adversarial networks in enhancing the frame rate of videos—0
Learned Image Compression with Separate Hyperprior Decoders—0
Localized Super Resolution for Foreground Images using U-Net and MR-CNNCode0
Generative Flows as a General Purpose Solution for Inverse ProblemsCode0
Hybrid learning of Non-Cartesian k-space trajectory and MR image reconstruction networks—0
Raw Bayer Pattern Image Synthesis for Computer Vision-oriented Image Signal Processing Pipeline Design—0
Face sketch to photo translation using generative adversarial networks—0
Multimodal-Boost: Multimodal Medical Image Super-Resolution using Multi-Attention Network with Wavelet Transform—0
Creating and Reenacting Controllable 3D Humans with Differentiable Rendering—0
SSFD: Self-Supervised Feature Distance as an MR Image Reconstruction Quality Metric—0
A Data-Driven Reconstruction Technique based on Newton's Method for Emission Tomography—0
Single volume lung biomechanics from chest computed tomography using a mode preserving generative adversarial network—0
Revisit Dictionary Learning for Video Compressive Sensing under the Plug-and-Play Framework—0
Self-Supervised Learning of Perceptually Optimized Block Motion Estimates for Video Compression—0
HLIC: Harmonizing Optimization Metrics in Learned Image Compression by Reinforcement Learning—0
An Efficient Network Design for Face Video Super-resolutionCode0
ImplicitVol: Sensorless 3D Ultrasound Reconstruction with Deep Implicit Representation—0
End-to-End AI-based MRI Reconstruction and Lesion Detection Pipeline for Evaluation of Deep Learning Image Reconstruction—0
Simple and Efficient Unpaired Real-world Super-Resolution using Image Statistics—0
Eformer: Edge Enhancement based Transformer for Medical Image Denoising—0
ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D Priors—0
Perceptual Quality Assessment of HEVC and VVC Standards for 8K Video—0
A trainable monogenic ConvNet layer robust in front of large contrast changes in image classificationCode0
A color temperature-based high-speed decolorization: an empirical approach for tone mapping applications—0
Lossy Medical Image Compression using Residual Learning-based Dual Autoencoder Model—0
Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search—0
Learning Dynamic Interpolation for Extremely Sparse Light Fields with Wide BaselinesCode0
FA-GAN: Fused Attentive Generative Adversarial Networks for MRI Image Super-Resolution—0
End-to-end Neural Video Coding Using a Compound Spatiotemporal Representation—0
MRI to PET Cross-Modality Translation using Globally and Locally Aware GAN (GLA-GAN) for Multi-Modal Diagnosis of Alzheimer's Disease—0
Objective video quality metrics application to video codecs comparisons: choosing the best for subjective quality estimation—0
Learned Image Compression with Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual ModulesCode0
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Benchmark Results

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