No Reference Image Quality Assessment On

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PLCC

SRCC

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

			Paper Title
UNIQA	0.956	0.953	You Only Train Once: A Unified Framework for Both Full-Reference and No-Reference Image Quality Assessment
ARNIQA	0.901	0.880	ARNIQA: Learning Distortion Manifold for Image Quality Assessment
TReS	0.883	0.863	No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency
DB-CNN	0.865	0.816	Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network
Re-IQA	0.861	0.804	Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild
HyperIQA	0.858	0.840	Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network
CONTRIQUE	0.857	0.843	Image Quality Assessment using Contrastive Learning
BRISQUE	0.694	0.604	No-Reference Image Quality Assessment in the Spatial Domain

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No Reference Image Quality Assessment On | SOTA | HyperAI