SOTAVerified

SSIM

Papers

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Showing 901–950 of 1336 papers

TitleStatusHype
3D U-NetR: Low Dose Computed Tomography Reconstruction via Deep Learning and 3 Dimensional Convolutions—0
Learning Generative Prior with Latent Space Sparsity Constraints—0
Towards Compact Single Image Super-Resolution via Contrastive Self-distillationCode1
Deep learning-based bias transfer for overcoming laboratory differences of microscopic imagesCode0
Convolutional Block Design for Learned Fractional Downsampling—0
Overparametrization of HyperNetworks at Fixed FLOP-Count Enables Fast Neural Image Enhancement—0
Multi-scale super-resolution generation of low-resolution scanned pathological imagesCode0
ReflectNet - A Generative Adversarial Method for Single Image Reflection Suppression—0
EDPN: Enhanced Deep Pyramid Network for Blurry Image RestorationCode1
Differentiable Neural Architecture Search for Extremely Lightweight Image Super-ResolutionCode1
(ASNA) An Attention-based Siamese-Difference Neural Network with Surrogate Ranking Loss function for Perceptual Image Quality AssessmentCode1
Pose-Guided Sign Language Video GAN with Dynamic Lambda—0
S3Net: A Single Stream Structure for Depth Guided Image RelightingCode1
Multi-modal Bifurcated Network for Depth Guided Image RelightingCode1
Blind microscopy image denoising with a deep residual and multiscale encoder/decoder networkCode0
ELF-VC: Efficient Learned Flexible-Rate Video Coding—0
Improving precision of objective image/video quality metrics—0
Good Artists Copy, Great Artists Steal: Model Extraction Attacks Against Image Translation Models—0
A speckle filter for Sentinel-1 SAR Ground Range Detected data based on Residual Convolutional Neural NetworksCode0
Spatiotemporal Entropy Model is All You Need for Learned Video CompressionCode1
Deep learning-based Edge-aware pre and post-processing methods for JPEG compressed images—0
X2CT-FLOW: Maximum a posteriori reconstruction using a progressive flow-based deep generative model for ultra sparse-view computed tomography in ultra low-dose protocols—0
Test-Time Adaptation for Super-Resolution: You Only Need to Overfit on a Few More Images—0
Toward Generating Synthetic CT Volumes using a 3D-Conditional Generative Adversarial Network—0
Joint Optimization for SSIM-Based CTU-Level Bit Allocation and Rate Distortion OptimizationCode0
Deep Simultaneous Optimisation of Sampling and Reconstruction for Multi-contrast MRI—0
D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-ResolutionCode1
SETGAN: Scale and Energy Trade-off GANs for Image Applications on Mobile Platforms—0
Accelerating Quantitative Susceptibility Mapping using Compressed Sensing and Deep Neural NetworkCode0
ReconResNet: Regularised Residual Learning for MR Image Reconstruction of Undersampled Cartesian and Radial DataCode1
D2C-SR: A Divergence to Convergence Approach for Image Super-Resolution—0
ASL to PET Translation by a Semi-supervised Residual-based Attention-guided Convolutional Neural NetworkCode0
Robust Reflection Removal with Reflection-free Flash-only CuesCode1
LOHO: Latent Optimization of Hairstyles via OrthogonalizationCode1
Towards Ultrafast MRI via Extreme k-Space Undersampling and Superresolution—0
A Cross Channel Context Model for Latents in Deep Image Compression—0
Deep Perceptual Image Quality Assessment for Compression—0
3D Vessel Reconstruction in OCT-Angiography via Depth Map Estimation—0
Beyond Convolutions: A Novel Deep Learning Approach for Raw Seismic Data Ingestion—0
ShuffleUNet: Super resolution of diffusion-weighted MRIs using deep learning—0
Focal Inverse Distance Transform Maps for Crowd LocalizationCode1
Perceptually Constrained Adversarial Attacks—0
Analysis of Interpolation based Image In-painting Approaches—0
Reference-based Texture transfer for Single Image Super-resolution of Magnetic Resonance imagesCode0
Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledgeCode0
Prediction of low-keV monochromatic images from polyenergetic CT scans for improved automatic detection of pulmonary embolism—0
MRSaiFE: Tissue Heating Prediction for MRI: a Feasibility Study—0
Deep High-Resolution Network for Low Dose X-ray CT Denoising—0
RectiNet-v2: A stacked network architecture for document image dewarping—0
[Re] Spatial-Adaptive Network for Single Image DenoisingCode0
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Benchmark Results

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