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SSIM

Papers

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Showing 901–925 of 1336 papers

TitleStatusHype
A Beam's Eye View to Fluence Maps 3D Network for Ultra Fast VMAT Radiotherapy Planning—0
A bone suppression model ensemble to improve COVID-19 detection in chest X-rays—0
A cascaded dual-domain deep learning reconstruction method for sparsely spaced multidetector helical CT—0
Accelerated and Quantitative 3D Semisolid MT/CEST Imaging using a Generative Adversarial Network (GAN-CEST)—0
Accelerating Diffusion for SAR-to-Optical Image Translation via Adversarial Consistency Distillation—0
Accurate reconstruction of image stimuli from human fMRI based on the decoding model with capsule network architecture—0
ACE Metric: Advection and Convection Evaluation for Accurate Weather Forecasting—0
Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search—0
A Coarse-to-Fine Multi-stream Hybrid Deraining Network for Single Image Deraining—0
MCU-Net: A Multi-prior Collaborative Deep Unfolding Network with Gates-controlled Spatial Attention for Accelerated MR Image Reconstruction—0
A color temperature-based high-speed decolorization: an empirical approach for tone mapping applications—0
A comparative analysis of SRGAN models—0
A Compression Objective and a Cycle Loss for Neural Image Compression—0
A Convex Similarity Index for Sparse Recovery of Missing Image Samples—0
A Coupling Enhancement Algorithm for ZrO2 Ceramic Bearing Ball Surface Defect Detection Based on Cartoon-texture Decomposition Model and Multi-Scale Filtering Method—0
A Cross Channel Context Model for Latents in Deep Image Compression—0
Across-scale Process Similarity based Interpolation for Image Super-Resolution—0
A CT Image Denoising Method with Residual Encoder-Decoder Network—0
ActiveInitSplat: How Active Image Selection Helps Gaussian Splatting—0
Adaptive Gate-Aware Mamba Networks for Magnetic Resonance Fingerprinting—0
Adaptive Iterative Compression for High-Resolution Files: an Approach Focused on Preserving Visual Quality in Cinematic Workflows—0
Adaptive Sample-space & Adaptive Probability coding: a neural-network based approach for compression—0
Self-Supervised Adversarial Diffusion Models for Fast MRI Reconstruction—0
Adaptive Pixel-wise Structured Sparse Network for Efficient CNNs—0
A Data-Driven Reconstruction Technique based on Newton's Method for Emission Tomography—0
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Benchmark Results

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