Blind Image Quality Assessment on KonIQ-10k benchmark leaderboard · SOTA2 Research

Blind Image Quality Assessment on KonIQ-10k

0.94SRCCQ-Align

Evaluation Results

Method
Q-Align2026.06	0.94	0.941
VUGA2026.04	0.934	0.945
LoDa2026.04	0.932	0.944
TOPIQ2026.04	0.926	0.939
MANIQA2026.06	0.923	0.94
DEIQT2026.04	0.921	0.934
DEFNet2025.07	0.92	0.901
LIQE2025.07	0.919	0.908
LIQE2026.04	0.919	0.908
LIQE2026.06	0.919	0.908
QAL-IQA2025.07	0.917	0.928
CDINet2025.07	0.916	0.928
MUSIQ2026.04	0.916	0.928
MUSIQ2026.06	0.915	0.937
Re-IQA2025.07	0.914	0.923
Distortion-Aware Fusion Framework2026.06	0.914	0.928
DPSF2025.07	0.912	0.925
TreS2025.07	0.907	0.924
HyperIQA2026.04	0.906	0.917
HyperIQA2026.06	0.906	0.917
HyperIQA2025.07	0.9	0.915
UNIQUE2025.07	0.895	0.9
CLIP-IQA+2026.06	0.895	0.909
CONTRIQUE2025.07	0.894	0.906
VCRNet2025.07	0.894	0.909
DB-CNN2026.04	0.875	0.884
DBCNN2026.06	0.875	0.884
DBCNN2025.07	0.864	0.868
FreqAlign2026.01	0.748	0.721
SynDR-IQA2026.01	0.727	0.735
StyleAM2026.01	0.7	0.673
DGQA2026.01	0.681	0.687
Q-Align2026.01	0.668	0.665
BRISQUE2026.06	0.665	0.681
DBCNN2026.01	0.639	0.618
DANN2026.01	0.638	0.636
RankDA2026.01	0.638	0.623
RankIQA2026.01	0.603	0.551
MUSIQ2026.01	0.554	0.573
HyperIQA2026.01	0.545	0.556
KGANet2026.01	0.528	—
VCRNet2026.01	0.517	0.525
CLIPIQA+2026.01	0.511	0.515
ILNIQE2025.07	0.509	0.534
IL-NIQE2026.06	0.509	0.534
UCDA2026.01	0.496	0.501
NIQE2025.07	0.415	0.438
NIQE2026.06	0.415	0.438
Ma192025.07	0.36	0.398
dipIQ2025.07	0.228	0.437