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ResearchFormerly WizWand

No-Reference Image Quality Assessment on KADID

0.934SRCCCONTRIQUE
0.409840.545920.6820.81808Apr 2, 2023Sep 29, 2023Mar 28, 2024Sep 25, 2024Mar 24, 2025Sep 21, 2025Mar 21, 2026
Updated 7mo ago

Evaluation results

MethodLinks
CONTRIQUE2023.040.9340.937
Re-IQAModule=quality-aware2023.040.8850.892
Re-IQAModule=content + quality2023.040.8720.885
HyperIQA2023.040.8520.845
DB-CNN2023.040.8510.856
Q-AlignModel Type=Non-reasoning2026.030.7920.795
ME-IQABase VLM=Q-Insight2026.030.7850.77
ME-IQABase VLM=EvoQuality2026.030.7830.783
ARNIQATraining=LIVE2023.100.764—
CLIP-IQA+Model Type=Non-reasoning2026.030.7560.762
ME-IQABase VLM=VisualQuality-R12026.030.7530.741
ME-IQABase VLM=Doubao-Seed-1.6-vision2026.030.7460.74
ME-IQABase VLM=GPT-52026.030.7440.739
PaQ-2-PiQ2023.040.74—
BaselineBase VLM=EvoQuality2026.030.7380.744
BaselineBase VLM=Q-Insight2026.030.7370.732
ARNIQATraining=CSIQ2023.100.735—
Compare2ScoreModel Type=Non-reasoning2026.030.7310.72
ARNIQATraining=TID20132023.100.726—
DeQA-ScoreModel Type=Non-reasoning2026.030.7160.711
BaselineBase VLM=Doubao-Seed-1.6-vision2026.030.7090.707
BaselineBase VLM=VisualQuality-R12026.030.7030.709
ImageNet Pretrained (Supervised)2023.040.7010.677
BaselineBase VLM=GPT-52026.030.7010.715
CONTRIQUETraining=LIVE2023.100.699—
CONTRIQUETraining=CSIQ2023.100.696—
NIMAModel Type=Non-reasoning2026.030.6930.701
MUSIQModel Type=Non-reasoning2026.030.650.668
CONTRIQUETraining=TID20132023.100.64—
Re-IQATraining=TID20132023.100.636—
Re-IQAModule=content-aware2023.040.6010.656
HyperIQATraining=TID20132023.100.581—
Re-IQATraining=LIVE2023.100.557—
Su et al.Training=TID20132023.100.554—
BRISQUE2023.040.5280.567
Re-IQATraining=CSIQ2023.100.521—
CORNIA2023.040.5160.558
Su et al.Training=CSIQ2023.100.515—
HyperIQATraining=CSIQ2023.100.509—
Su et al.Training=LIVE2023.100.506—
HyperIQATraining=LIVE2023.100.492—
MANIQAModel Type=Non-reasoning2026.030.4880.526
NIQEModel Type=Non-reasoning2026.030.430.43