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SSIM

Papers

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Showing 876–900 of 1336 papers

TitleStatusHype
DS3-Net: Difficulty-perceived Common-to-T1ce Semi-Supervised Multimodal MRI Synthesis Network—0
Multi-modal Brain Tumor Segmentation via Missing Modality Synthesis and Modality-level Attention Fusion—0
Contextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression—0
Improved Wavelets for Image Compression from Unitary Circuits—0
Improved Semantic Inpainting Architecture Augmented with a Facial Landmark Detector—0
MIST GAN: Modality Imputation Using Style Transfer for MRI—0
A Subjective Quality Study for Video Frame Interpolation—0
Multi-task Deep Learning for Cerebrovascular Disease Classification and MRI-to-PET Translation—0
Meta-learning with GANs for anomaly detection, with deployment in high-speed rail inspection system—0
DDoS-UNet: Incorporating temporal information using Dynamic Dual-channel UNet for enhancing super-resolution of dynamic MRICode0
A GAN-based Denoising Method for Chinese Stele and Rubbing Calligraphic Image—0
MOST-Net: A Memory Oriented Style Transfer Network for Face Sketch Synthesis—0
DSSIM: a structural similarity index for floating-point data—0
Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder—0
Learning Multiple Probabilistic Degradation Generators for Unsupervised Real World Image Super ResolutionCode0
Real-time automatic polyp detection in colonoscopy using feature enhancement module and spatiotemporal similarity correlation unit—0
Generative Adversarial Network for Text-to-Face Synthesis and Manipulation with Pretrained BERT Model—0
MoViDNN: A Mobile Platform for Evaluating Video Quality Enhancement with Deep Neural NetworksCode0
Image quality measurements and denoising using Fourier Ring CorrelationsCode0
Signal Reconstruction from Quantized Noisy Samples of the Discrete Fourier Transform—0
Learning True Rate-Distortion-Optimization for End-To-End Image Compression—0
DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression—0
FaceQgen: Semi-Supervised Deep Learning for Face Image Quality AssessmentCode0
Texture-Based Error Analysis for Image Super-Resolution—0
Sinogram upsampling using Primal-Dual UNet for undersampled CT and radial MRI reconstructionCode0
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Benchmark Results

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