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
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
Black-box Adversarial Attacks Against Image Quality Assessment Models—0
Diffusion Model Based Visual Compensation Guidance and Visual Difference Analysis for No-Reference Image Quality AssessmentCode1
Exploring Vulnerabilities of No-Reference Image Quality Assessment Models: A Query-Based Black-Box Method—0
Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity—0
Less is More: Learning Reference Knowledge Using No-Reference Image Quality Assessment—0
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