SOTAVerified

NR-IQA

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

Papers

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Showing 1–10 of 50 papers

TitleStatusHype
VisualQuality-R1: Reasoning-Induced Image Quality Assessment via Reinforcement Learning to RankCode2
Exploring Semantic Feature Discrimination for Perceptual Image Super-Resolution and Opinion-Unaware No-Reference Image Quality AssessmentCode1
AIM 2024 Challenge on UHD Blind Photo Quality AssessmentCode1
Diffusion Model Based Visual Compensation Guidance and Visual Difference Analysis for No-Reference Image Quality AssessmentCode1
DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality AssessmentCode0
Semantically-Aware Game Image Quality Assessment—0
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
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