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Image Quality Assessment

Papers

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Showing 551–600 of 732 papers

TitleStatusHype
UNO-QA: An Unsupervised Anomaly-Aware Framework with Test-Time Clustering for OCTA Image Quality Assessment—0
Unsupervised Deep Contrast Enhancement with Power Constraint for OLED Displays—0
Unsupervised Multi-Clustering and Decision-Making Strategies for 4D-STEM Orientation Mapping—0
Utility-Oriented Underwater Image Quality Assessment Based on Transfer Learning—0
Video Quality Assessment Based on Swin TransformerV2 and Coarse to Fine Strategy—0
Vision Language Modeling of Content, Distortion and Appearance for Image Quality Assessment—0
Visual-Language Model Knowledge Distillation Method for Image Quality Assessment—0
Visual Mechanisms Inspired Efficient Transformers for Image and Video Quality Assessment—0
Visual question answering based evaluation metrics for text-to-image generation—0
VR IQA NET: Deep Virtual Reality Image Quality Assessment using Adversarial Learning—0
VSI: A Visual Saliency-Induced Index for Perceptual Image Quality Assessment—0
X-Fake: Juggling Utility Evaluation and Explanation of Simulated SAR Images—0
Zero-shot super-resolution with a physically-motivated downsampling kernel for endomicroscopy—0
1st Place Solutions for UG2+ Challenge 2022 ATMOSPHERIC TURBULENCE MITIGATION—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
Joint Optimization for SSIM-Based CTU-Level Bit Allocation and Rate Distortion OptimizationCode0
Introspective Learning : A Two-Stage Approach for Inference in Neural NetworksCode0
LatentKeypointGAN: Controlling Images via Latent KeypointsCode0
AI-generated Image Quality Assessment in Visual CommunicationCode0
Image Quality Assessment Guided Deep Neural Networks TrainingCode0
Quality Aware Generative Adversarial NetworksCode0
Learning from Mixed Datasets: A Monotonic Image Quality Assessment ModelCode0
Image Quality Assessment and Color DifferenceCode0
Quality-Aware Image-Text Alignment for Real-World Image Quality AssessmentCode0
Towards a Robust Framework for NeRF EvaluationCode0
IG-FIQA: Improving Face Image Quality Assessment through Intra-class Variance Guidance robust to Inaccurate Pseudo-LabelsCode0
Adaboost Neural Network And Cyclopean View For No-reference Stereoscopic Image Quality AssessmentCode0
Hyperparameter Optimization in Black-box Image Processing using Differentiable ProxiesCode0
UNIQUE: Unsupervised Image Quality EstimationCode0
Vision-Language Consistency Guided Multi-modal Prompt Learning for Blind AI Generated Image Quality AssessmentCode0
ESIQA: Perceptual Quality Assessment of Vision-Pro-based Egocentric Spatial ImagesCode0
Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalizationCode0
Subjective and Objective Quality Assessment for in-the-Wild Computer Graphics ImagesCode0
LFACon: Introducing Anglewise Attention to No-Reference Quality Assessment in Light Field SpaceCode0
Subjective and Objective Quality Assessment of Non-Uniformly Distorted Omnidirectional ImagesCode0
Which Has Better Visual Quality: The Clear Blue Sky or a Blurry Animal?Code0
A Comparative Study of Quality and Content-Based Spatial Pooling Strategies in Image Quality AssessmentCode0
Critical analysis on the reproducibility of visual quality assessment using deep featuresCode0
Locally Linear Image Structural Embedding for Image Structure Manifold LearningCode0
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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