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SSIM

Papers

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Showing 1301–1336 of 1336 papers

TitleStatusHype
Image Compression: Sparse Coding vs. Bottleneck Autoencoders—0
Image Compression with SVD : A New Quality Metric Based On Energy Ratio—0
Image Deblurring using GAN—0
Image Denoising by Gaussian Patch Mixture Model and Low Rank Patches—0
Image Denoising for Strong Gaussian Noises With Specialized CNNs for Different Frequency Components—0
Image Denoising via Collaborative Dual-Domain Patch Filtering—0
Image Denoising Via Collaborative Support-Agnostic Recovery—0
Image Denoising via Style Disentanglement—0
Image Fusion Using LEP Filtering and Bilinear Interpolation—0
Image Inpainting by Adaptive Fusion of Variable Spline Interpolations—0
Image quality assessment for determining efficacy and limitations of Super-Resolution Convolutional Neural Network (SRCNN)—0
Image quality assessment: from error visibility to structural similarity—0
Image Reconstruction using Enhanced Vision Transformer—0
Image Resolution Enhancement by Using Interpolation Followed by Iterative Back Projection—0
Image Segmentation using Multi-Threshold technique by Histogram Sampling—0
Image Shadow Removal Using End-to-End Deep Convolutional Neural Networks—0
Image Super-Resolution Based on Sparsity Prior via Smoothed l_0 Norm—0
Image Super-Resolution Using T-Tetromino Pixels—0
Image Super Resolution via Bilinear Pooling: Application to Confocal Endomicroscopy—0
Perception-oriented Single Image Super-Resolution via Dual Relativistic Average Generative Adversarial Networks—0
Imaging Transformer for MRI Denoising: a Scalable Model Architecture that enables SNR << 1 Imaging—0
Impact of Image Compression on In Vitro Cell Migration Analysis—0
Impact of White-Box Adversarial Attacks on Convolutional Neural Networks—0
Implementation of neural network operators with applications to remote sensing data—0
ImplicitVol: Sensorless 3D Ultrasound Reconstruction with Deep Implicit Representation—0
Improved Hybrid Layered Image Compression using Deep Learning and Traditional Codecs—0
Improved Image Coding Autoencoder With Deep Learning—0
Improved Lossy Image Compression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks—0
Improved Semantic Inpainting Architecture Augmented with a Facial Landmark Detector—0
Improved Wavelets for Image Compression from Unitary Circuits—0
Improvement of Multiparametric MR Image Segmentation by Augmenting the Data with Generative Adversarial Networks for Glioma Patients—0
Improving Cone-Beam CT Image Quality with Knowledge Distillation-Enhanced Diffusion Model in Imbalanced Data Settings—0
Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations—0
Improving Generative Adversarial Networks for Video Super-Resolution—0
Improving Image Restoration with Soft-Rounding—0
Improving precision of objective image/video quality metrics—0
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Benchmark Results

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