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Image Quality Assessment

Papers

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Showing 651–675 of 732 papers

TitleStatusHype
Blind Document Image Quality Prediction Based on Modification of Quality Aware Clustering Method Integrating a Patch Selection Strategy—0
VR IQA NET: Deep Virtual Reality Image Quality Assessment using Adversarial Learning—0
Hallucinated-IQA: No-Reference Image Quality Assessment via Adversarial Learning—0
Effective deep learning training for single-image super-resolution in endomicroscopy exploiting video-registration-based reconstruction—0
KonIQ-10k: Towards an ecologically valid and large-scale IQA databaseCode1
Full Reference Objective Quality Assessment for Reconstructed Background Images—0
The Unreasonable Effectiveness of Deep Features as a Perceptual MetricCode3
Image Quality Assessment Techniques Improve Training and Evaluation of Energy-Based Generative Adversarial Networks—0
Exploring the significance of using perceptually relevant image decolorization method for scene classification—0
RAN4IQA: Restorative Adversarial Nets for No-Reference Image Quality Assessment—0
A practical guide and software for analysing pairwise comparison experimentsCode1
No Reference Stereoscopic Video Quality Assessment Using Joint Motion and Depth Statistics—0
High-Quality Facial Photo-Sketch Synthesis Using Multi-Adversarial NetworksCode0
NIMA: Neural Image AssessmentCode0
A Detail Based Method for Linear Full Reference Image Quality Prediction—0
Blind Stereo Image Quality Assessment Inspired by Brain Sensory-Motor Fusion—0
A Probabilistic Quality Representation Approach to Deep Blind Image Quality PredictionCode0
Contrast and visual saliency similarity-induced index for assessing image quality—0
Image Quality Assessment Guided Deep Neural Networks TrainingCode0
Image Quality Assessment Techniques Show Improved Training and Evaluation of Autoencoder Generative Adversarial Networks—0
RankIQA: Learning from Rankings for No-reference Image Quality AssessmentCode0
Terahertz Security Image Quality Assessment by No-reference Model Observers—0
Deep Learning of Human Visual Sensitivity in Image Quality Assessment FrameworkCode1
Gradient magnitude similarity deviation on multiple scales for color image quality assessment—0
Video Imagination from a Single Image with Transformation GenerationCode0
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All datasetsMSU NR VQA DatabaseKonIQ-10kMSU FR VQA Database

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SPAQ MT-SSRCC0.88—Unverified
2SPAQ BLSRCC0.88—Unverified
3SPAQ MT-ASRCC0.88—Unverified
4KonCept512SRCC0.84—Unverified
5MEONSRCC0.51—Unverified
#ModelMetricClaimedVerifiedStatus
1RealQASRCC0.95—Unverified
2OneAlignSRCC0.94—Unverified
3UNIQASRCC0.93—Unverified
4KonCept512SRCC0.92—Unverified
#ModelMetricClaimedVerifiedStatus
1FSIMSRCC0.9—Unverified
2DSSSRCC0.9—Unverified
3MS-GMSDSRCC0.89—Unverified
4GMSDSRCC0.89—Unverified