SOTAVerified

NR-IQA

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

Papers

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Showing 21–30 of 50 papers

TitleStatusHype
Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity—0
Domain Fingerprints for No-reference Image Quality Assessment—0
Exploring Vulnerabilities of No-Reference Image Quality Assessment Models: A Query-Based Black-Box Method—0
GenzIQA: Generalized Image Quality Assessment using Prompt-Guided Latent Diffusion Models—0
Hallucinated-IQA: No-Reference Image Quality Assessment via Adversarial Learning—0
Interpretable Image Quality Assessment via CLIP with Multiple Antonym-Prompt Pairs—0
IQPFR: An Image Quality Prior for Blind Face Restoration and Beyond—0
JNDMix: JND-Based Data Augmentation for No-reference Image Quality Assessment—0
Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data—0
Less is More: Learning Reference Knowledge Using No-Reference Image Quality Assessment—0
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