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SSIM

Papers

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Showing 1201–1250 of 1336 papers

TitleStatusHype
X-Ray Image Compression Using Convolutional Recurrent Neural Networks—0
Multiple Linear Regression Haze-removal Model Based on Dark Channel Prior—0
Minimizing Perceived Image Quality Loss Through Adversarial Attack Scoping—0
Non-local Attention Optimized Deep Image Compression—0
Deep Predictive Video Compression with Bi-directional Prediction—0
SSIM -A Deep Learning Approach for Recovering Missing Time Series Sensor DataCode0
CFSNet: Toward a Controllable Feature Space for Image RestorationCode0
W-Net: Reinforced U-Net for Density Map Estimation—0
A lightweight convolutional neural network for image denoising with fine details preservation capability—0
Deep Residual Autoencoder for quality independent JPEG restoration—0
Image Shadow Removal Using End-to-End Deep Convolutional Neural Networks—0
Multi-scale convolutional neural network for multi-focus image fusion—0
Deep Inverse Tone Mapping Using LDR Based Learning for Estimating HDR Images with Absolute Luminance—0
Gated Context Model with Embedded Priors for Deep Image Compression—0
Neural Video Compression using Spatio-Temporal Priors—0
Quantifying Perceptual Distortion of Adversarial Examples—0
An Autoencoder-based Learned Image Compressor: Description of Challenge Proposal by NCTU—0
SHEAR-net: An End-to-End Deep Learning Approach for Single Push Ultrasound Shear Wave Elasticity Imaging—0
GAN- vs. JPEG2000 Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation—0
Sinogram interpolation for sparse-view micro-CT with deep learning neural network—0
Progressive Image Deraining Networks: A Better and Simpler BaselineCode0
Rethinking Lossy Compression: The Rate-Distortion-Perception Tradeoff—0
CAE-ADMM: Implicit Bitrate Optimization via ADMM-based Pruning in Compressive AutoencodersCode0
Learning a Deep Convolution Network with Turing Test Adversaries for Microscopy Image Super Resolution—0
CSGAN: Cyclic-Synthesized Generative Adversarial Networks for Image-to-Image TransformationCode0
Performance Analysis and Dynamic Evolution of Deep Convolutional Neural Network for Nonlinear Inverse Scattering—0
Morphological Networks for Image De-rainingCode0
SREdgeNet: Edge Enhanced Single Image Super Resolution using Dense Edge Detection Network and Feature Merge Network—0
Efficient Super Resolution For Large-Scale Images Using Attentional GAN—0
Adversarial Learning of Semantic Relevance in Text to Image Synthesis—0
Light Propagation Prediction through Multimode Optical Fibers with a Deep Neural Network—0
Neural Image Decompression: Learning to Render Better Image Previews—0
Why Are Deep Representations Good Perceptual Quality Features?—0
Deep RNN Framework for Visual Sequential ApplicationsCode0
Image Quality Assessment and Color DifferenceCode0
A Comparative Study of Quality and Content-Based Spatial Pooling Strategies in Image Quality AssessmentCode0
Effectiveness of 3VQM in Capturing Depth Inconsistencies—0
Analyzing Perception-Distortion Tradeoff using Enhanced Perceptual Super-resolution NetworkCode0
Bi-GANs-ST for Perceptual Image Super-resolution—0
Towards improved lossy image compression: Human image reconstruction with public-domain images—0
Joint bi-modal image reconstruction of DOT and XCT with an extended Mumford-Shah functional—0
Does Haze Removal Help CNN-based Image Classification?—0
VarNet: Exploring Variations for Unsupervised Video PredictionCode0
Deep Residual Network for Off-Resonance Artifact Correction with Application to Pediatric Body Magnetic Resonance Angiography with 3D Cones—0
A Simple Framework to Leverage State-Of-The-Art Single-Image Super-Resolution Methods to Restore Light Fields—0
Representing Images in 200 Bytes: Compression via Triangulation—0
SDC-Net: Video prediction using spatially-displaced convolutionCode0
MSCE: An edge preserving robust loss function for improving super-resolution algorithms—0
U-Finger: Multi-Scale Dilated Convolutional Network for Fingerprint Image Denoising and InpaintingCode0
MRI to FDG-PET: Cross-Modal Synthesis Using 3D U-Net For Multi-Modal Alzheimer's Classification—0
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Benchmark Results

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