SOTAVerified

NR-IQA

To avoid duplication and fragmentation, use the No-Reference Image Quality Assessment (NR-IQA) task.

Papers

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Showing 1–25 of 50 papers

TitleStatusHype
DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality AssessmentCode0
VisualQuality-R1: Reasoning-Induced Image Quality Assessment via Reinforcement Learning to RankCode2
Semantically-Aware Game Image Quality Assessment—0
Exploring Semantic Feature Discrimination for Perceptual Image Super-Resolution and Opinion-Unaware No-Reference Image Quality AssessmentCode1
Cross-Domain Underwater Image Enhancement Guided by No-Reference Image Quality Assessment: A Transfer Learning Approach—0
IQPFR: An Image Quality Prior for Blind Face Restoration and Beyond—0
Augmenting Perceptual Super-Resolution via Image Quality Predictors—0
Backdoor Attacks against No-Reference Image Quality Assessment Models via a Scalable TriggerCode0
Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions—0
Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment—0
Visual question answering based evaluation metrics for text-to-image generation—0
Multi-task Feature Enhancement Network for No-Reference Image Quality Assessment—0
AIM 2024 Challenge on UHD Blind Photo Quality AssessmentCode1
Attention Down-Sampling Transformer, Relative Ranking and Self-Consistency for Blind Image Quality AssessmentCode0
MSLIQA: Enhancing Learning Representations for Image Quality Assessment through Multi-Scale Learning—0
A Deep-Learning-Based Label-free No-Reference Image Quality Assessment Metric: Application in Sodium MRI Denoising—0
Local Manifold Learning for No-Reference Image Quality Assessment—0
UHD-IQA Benchmark Database: Pushing the Boundaries of Blind Photo Quality AssessmentCode0
GenzIQA: Generalized Image Quality Assessment using Prompt-Guided Latent Diffusion Models—0
Rank-based No-reference Quality Assessment for Face Swapping—0
ATTIQA: Generalizable Image Quality Feature Extractor using Attribute-aware Pretraining—0
Cross-IQA: Unsupervised Learning for Image Quality Assessment—0
Image Quality Assessment With Compressed Sampling—0
Beyond Score Changes: Adversarial Attack on No-Reference Image Quality Assessment from Two Perspectives—0
When No-Reference Image Quality Models Meet MAP Estimation in Diffusion Latents—0
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