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Image Quality Assessment

Papers

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Showing 651–700 of 732 papers

TitleStatusHype
Iterative Optimization of Pseudo Ground-Truth Face Image Quality Labels—0
JNDMix: JND-Based Data Augmentation for No-reference Image Quality Assessment—0
Joint Deep Image Restoration and Unsupervised Quality Assessment—0
KonX: Cross-Resolution Image Quality Assessment—0
Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data—0
Learning from Irregularly Sampled Data for Endomicroscopy Super-resolution: A Comparative Study of Sparse and Dense Approaches—0
Learning image quality assessment by reinforcing task amenable data selection—0
Learning Numerical Observers using Unsupervised Domain Adaptation—0
Learning to Rank for Blind Image Quality Assessment—0
Learning Transformer Features for Image Quality Assessment—0
Learning with Noisy Low-Cost MOS for Image Quality Assessment via Dual-Bias Calibration—0
Learning without Human Scores for Blind Image Quality Assessment—0
Learn to Evaluate Image Perceptual Quality Blindly from Statistics of Self-similarity—0
Less is More: Learning Reference Knowledge Using No-Reference Image Quality Assessment—0
Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions—0
Lightweight High-Performance Blind Image Quality Assessment—0
Local Distortion Aware Efficient Transformer Adaptation for Image Quality Assessment—0
Locally Adaptive Structure and Texture Similarity for Image Quality Assessment—0
Local Manifold Learning for No-Reference Image Quality Assessment—0
Local semi-supervised approach to brain tissue classification in child brain MRI—0
Mask Reference Image Quality Assessment—0
Massive Online Crowdsourced Study of Subjective and Objective Picture Quality—0
GMValuator: Similarity-based Data Valuation for Generative Models—0
MCL-3D: a database for stereoscopic image quality assessment using 2D-image-plus-depth source—0
MCLFIQ: Mobile Contactless Fingerprint Image Quality—0
Medical Image Quality Assessment based on Probability of Necessity and Sufficiency—0
MetaQAP -- A Meta-Learning Approach for Quality-Aware Pretraining in Image Quality Assessment—0
Mitigating Low-Level Visual Hallucinations Requires Self-Awareness: Database, Model and Training Strategy—0
Mitigating Perception Bias: A Training-Free Approach to Enhance LMM for Image Quality Assessment—0
MONITOR: A Multimodal Fusion Framework to Assess Message Veracity in Social Networks—0
Most Apparent Distortion: Full-Reference Image Quality Assessment and the Role of Strategy—0
MSLIQA: Enhancing Learning Representations for Image Quality Assessment through Multi-Scale Learning—0
MSTRIQ: No Reference Image Quality Assessment Based on Swin Transformer with Multi-Stage Fusion—0
MUG: A Parameterless No-Reference JPEG Quality Evaluator Robust to Block Size and Misalignment—0
Multi-Marker Similarity enables reduced-reference and interpretable image quality assessment in optical microscopy—0
Multimodal Human-AI Synergy for Medical Imaging Quality Control: A Hybrid Intelligence Framework with Adaptive Dataset Curation and Closed-Loop Evaluation—0
Multi-task deep CNN model for no-reference image quality assessment on smartphone camera photos—0
Multi-task Feature Enhancement Network for No-Reference Image Quality Assessment—0
Natural Color Image Enhancement based on Modified Multiscale Retinex Algorithm and Performance Evaluation usingWavelet Energy—0
Non-Reference Quality Monitoring of Digital Images using Gradient Statistics and Feedforward Neural Networks—0
No reference image quality assessment metric based on regional mutual information among images—0
No-Reference Image Quality Assessment via Feature Fusion and Multi-Task Learning—0
No-Reference Light Field Image Quality Assessment Based on Spatial-Angular Measurement—0
No-Reference Quality Assessment for 360-degree Images by Analysis of Multi-frequency Information and Local-global Naturalness—0
No-reference Screen Content Image Quality Assessment with Unsupervised Domain Adaptation—0
No Reference Stereoscopic Video Quality Assessment Using Joint Motion and Depth Statistics—0
Novel quantitative indicators of digital ophthalmoscopy image quality—0
NTIRE 2021 Challenge on Perceptual Image Quality Assessment—0
NTIRE 2022 Challenge on Perceptual Image Quality Assessment—0
NTIRE 2024 Quality Assessment of AI-Generated Content Challenge—0
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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