No Reference Image Quality Assessment On

Metrics

PLCC

SRCC

Results

Performance results of various models on this 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

0 of 8 row(s) selected.

No Reference Image Quality Assessment On | SOTA | HyperAI