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SSIM

Papers

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Showing 576–600 of 1336 papers

TitleStatusHype
Efficient Super Resolution For Large-Scale Images Using Attentional GAN—0
Bone Suppression on Chest Radiographs With Adversarial Learning—0
Adaptive Pixel-wise Structured Sparse Network for Efficient CNNs—0
Efficient multi-view training for 3D Gaussian Splatting—0
Efficient Image Restoration through Low-Rank Adaptation and Stable Diffusion XL—0
Blur-Attention: A boosting mechanism for non-uniform blurred image restoration—0
Efficient HDR Reconstruction from Real-World Raw Images—0
Efficient Halftoning via Deep Reinforcement Learning—0
Blockwise SURE Shrinkage for Non-Local Means—0
An Autoencoder-based Learned Image Compressor: Description of Challenge Proposal by NCTU—0
Effectiveness of 3VQM in Capturing Depth Inconsistencies—0
Deep learning-based Edge-aware pre and post-processing methods for JPEG compressed images—0
Edge Adaptive Hybrid Regularization Model For Image Deblurring—0
Self-Supervised Adversarial Diffusion Models for Fast MRI Reconstruction—0
A bone suppression model ensemble to improve COVID-19 detection in chest X-rays—0
Performance of a GPU- and Time-Efficient Pseudo 3D Network for Magnetic Resonance Image Super-Resolution and Motion Artifact Reduction—0
ECGDeDRDNet: A deep learning-based method for Electrocardiogram noise removal using a double recurrent dense network—0
Blind Deblurring using Deep Learning: A Survey—0
Early Stopping Criteria for Training Generative Adversarial Networks in Biomedical Imaging—0
EAR: Edge-Aware Reconstruction of 3-D vertebrae structures from bi-planar X-ray images—0
BlastDiffusion: A Latent Diffusion Model for Generating Synthetic Embryo Images to Address Data Scarcity in In Vitro Fertilization—0
An Application of Generative Adversarial Networks for Super Resolution Medical Imaging—0
Dynamic watermarks in images generated by diffusion models—0
Dynamic PET cardiac and parametric image reconstruction: a fixed-point proximity gradient approach using patch-based DCT and tensor SVD regularization—0
DWTNeRF: Boosting Few-shot Neural Radiance Fields via Discrete Wavelet Transform—0
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Benchmark Results

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