SOTAVerified

SSIM

Papers

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Showing 576–600 of 1336 papers

TitleStatusHype
Denoising Simulated Low-Field MRI (70mT) using Denoising Autoencoders (DAE) and Cycle-Consistent Generative Adversarial Networks (Cycle-GAN)—0
Data Augmentation in Training CNNs: Injecting Noise to Images—0
DDGM: Solving inverse problems by Diffusive Denoising of Gradient-based Minimization—0
Image Reconstruction using Enhanced Vision Transformer—0
K-Space-Aware Cross-Modality Score for Synthesized Neuroimage Quality Assessment—0
Visible and infrared self-supervised fusion trained on a single example—0
Synthesizing Forestry Images Conditioned on Plant Phenotype Using a Generative Adversarial NetworkCode0
StyleStegan: Leak-free Style Transfer Based on Feature Steganography—0
Cross Spectral Image Reconstruction Using a Deep Guided Neural NetworkCode0
Improving Spherical Image Resampling through Viewport-AdaptivityCode0
Unsupervised Deformable Ultrasound Image Registration and Its Application for Vessel Segmentation—0
DiffWA: Diffusion Models for Watermark Attack—0
Learning-based sound speed estimation and aberration correction in linear-array photoacoustic imagingCode0
Diffusart: Enhancing Line Art Colorization with Conditional Diffusion ModelsCode1
GAN-based Image Compression with Improved RDO Process—0
Enlighten Anything: When Segment Anything Model Meets Low-Light Image EnhancementCode1
Efficient HDR Reconstruction from Real-World Raw Images—0
A New Low-Rank Learning Robust Quaternion Tensor Completion Method for Color Video Inpainting Problem and Fast Algorithms—0
JCCS-PFGM: A Novel Circle-Supervision based Poisson Flow Generative Model for Multiphase CECT Progressive Low-Dose Reconstruction with Joint Condition—0
SAGE-NDVI: A Stereotype-Breaking Evaluation Metric for Remote Sensing Image Dehazing Using Satellite-to-Ground NDVI Knowledge—0
Image Blending Algorithm with Automatic Mask Generation—0
An Attentive-based Generative Model for Medical Image SynthesisCode1
Enhancing image quality prediction with self-supervised visual masking—0
Synthetic CT Generation from MRI using 3D Transformer-based Denoising Diffusion ModelCode1
Scene restoration from scaffold occlusion using deep learning-based methods—0
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Benchmark Results

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