SOTAVerified

SSIM

Papers

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Showing 276–300 of 1336 papers

TitleStatusHype
DeepSeek on a Trip: Inducing Targeted Visual Hallucinations via Representation Vulnerabilities—0
BUFF: Bayesian Uncertainty Guided Diffusion Probabilistic Model for Single Image Super-Resolution—0
BrightVAE: Luminosity Enhancement in Underexposed Endoscopic Images—0
An End-Cloud Computing Enabled Surveillance Video Transmission System—0
An Emerging Coding Paradigm VCM: A Scalable Coding Approach Beyond Feature and Signal—0
A cascaded dual-domain deep learning reconstruction method for sparsely spaced multidetector helical CT—0
Performance of a GPU- and Time-Efficient Pseudo 3D Network for Magnetic Resonance Image Super-Resolution and Motion Artifact Reduction—0
Deep Selector-JPEG: Adaptive JPEG Image Compression for Computer Vision in Image classification with Human Vision Criteria—0
Brain MRI-to-PET Synthesis using 3D Convolutional Attention Networks—0
An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning—0
A bone suppression model ensemble to improve COVID-19 detection in chest X-rays—0
Boosting Dermatoscopic Lesion Segmentation via Diffusion Models with Visual and Textual Prompts—0
Bone Suppression on Chest Radiographs With Adversarial Learning—0
Adaptive Pixel-wise Structured Sparse Network for Efficient CNNs—0
Deep Residual Autoencoder for quality independent JPEG restoration—0
Blur-Attention: A boosting mechanism for non-uniform blurred image restoration—0
Blockwise SURE Shrinkage for Non-Local Means—0
An Autoencoder-based Learned Image Compressor: Description of Challenge Proposal by NCTU—0
Self-Supervised Adversarial Diffusion Models for Fast MRI Reconstruction—0
Deep Perceptual Image Quality Assessment for Compression—0
Deep Predictive Video Compression with Bi-directional Prediction—0
Deep Residual Network for Off-Resonance Artifact Correction with Application to Pediatric Body Magnetic Resonance Angiography with 3D Cones—0
Deep Simultaneous Optimisation of Sampling and Reconstruction for Multi-contrast MRI—0
Blind Deblurring using Deep Learning: A Survey—0
BlastDiffusion: A Latent Diffusion Model for Generating Synthetic Embryo Images to Address Data Scarcity in In Vitro Fertilization—0
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Benchmark Results

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