No-Reference Image Quality Assessment on KADID-10K
0.972SROCCDistortion-Aware Fusion Framework
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Distortion-Aware Fusion Framework2026.06 | 0.972 | 0.973 | |
| B_GatedActivation=Gated2025.09 | 0.97 | 0.973 | |
| B_Gated (Ours)Activation=Gated, Type=Non-diffusion2025.09 | 0.97 | 0.973 | |
| BActivation=Baseline2025.09 | 0.961 | 0.964 | |
| B (Baseline)Type=Non-diffusion2025.09 | 0.961 | 0.964 | |
| LGDM2025.09 | 0.958 | 0.961 | |
| MANIQA2026.06 | 0.946 | 0.946 | |
| MANIQA2022.04 | 0.944 | 0.946 | |
| Ours-S+Backbone=Swin-Tiny, Joint training (FR & NR tasks)=true, Architecture Type=Transformer-based2023.10 | 0.944 | 0.945 | |
| DEFNet2025.07 | 0.942 | 0.944 | |
| Ours-SBackbone=Swin-Tiny, Joint training (FR & NR tasks)=false, Architecture Type=Transformer-based2023.10 | 0.941 | 0.942 | |
| KGANet2025.07 | 0.94 | 0.943 | |
| MANIQAArchitecture Type=Transformer-based2023.10 | 0.939 | 0.939 | |
| B_SigActivation=Sigmoid2025.09 | 0.939 | 0.943 | |
| B_Sig (Ours)Activation=Sigmoid, Type=Non-diffusion2025.09 | 0.939 | 0.943 | |
| GLIANetNumber of trainable parameters=8M2026.05 | 0.939 | 0.943 | |
| SHDIQANumber of trainable parameters=24M2026.05 | 0.937 | 0.94 | |
| Q-Alignend-to-end fine-tuned backbone=true2026.06 | 0.937 | 0.941 | |
| CONTRIQUE2025.07 | 0.934 | 0.937 | |
| CONTRIQUEType=SSL+LR2026.03 | 0.934 | 0.937 | |
| CONTRIQUE2026.06 | 0.934 | 0.937 | |
| SLIDE-IQA-Q2026.06 | 0.932 | 0.934 | |
| LoDAType=Non-diffusion2025.09 | 0.931 | 0.936 | |
| LoDaNumber of trainable parameters=9M2026.05 | 0.931 | 0.936 | |
| LIQE2025.07 | 0.93 | 0.931 | |
| DAIQA2026.05 | 0.93 | 0.925 | |
| LIQENumber of trainable parameters=151M2026.05 | 0.93 | 0.931 | |
| LIQE2026.06 | 0.93 | 0.931 | |
| SLIDE-IQA2026.06 | 0.924 | 0.927 | |
| DPNet2025.07 | 0.923 | 0.924 | |
| QMambaNumber of trainable parameters=50M2026.05 | 0.923 | 0.938 | |
| SHAMISAType=SSL+LR2026.03 | 0.922 | 0.924 | |
| CDINet2025.07 | 0.92 | 0.919 | |
| TReS2022.04 | 0.915 | 0.858 | |
| QAL-IQA2025.07 | 0.908 | 0.91 | |
| ARNIQAType=SSL+LR2026.03 | 0.908 | 0.912 | |
| ARNIQA2026.06 | 0.908 | 0.912 | |
| CausalQualityBackbone=EffNet2025.07 | 0.907 | 0.905 | |
| CausalQualityBackbone=VGG2025.07 | 0.899 | 0.898 | |
| TOPIQ-FR2025.07 | 0.895 | 0.896 | |
| Ours-RBackbone=ResNet50, Joint training (FR & NR tasks)=false2023.10 | 0.885 | 0.884 | |
| ReIQA-Q2026.06 | 0.885 | 0.892 | |
| UNIQUE2025.07 | 0.884 | 0.885 | |
| TreS2025.07 | 0.881 | 0.879 | |
| DBCNN2025.07 | 0.878 | 0.878 | |
| MUSIQType=Non-diffusion2025.09 | 0.875 | 0.872 | |
| MUSIQ2026.05 | 0.875 | 0.872 | |
| HyperIQA2025.07 | 0.872 | 0.869 | |
| Re-IQA2025.07 | 0.872 | 0.885 | |
| RE-IQAType=Non-diffusion2025.09 | 0.872 | 0.885 | |
| Re-IQAType=SSL+LR2026.03 | 0.872 | 0.885 | |
| Re-IQANumber of trainable parameters=48M2026.05 | 0.872 | 0.885 | |
| MUSIQ2026.06 | 0.872 | 0.875 | |
| ReIQA2026.06 | 0.872 | 0.885 | |
| Su et al.Type=Supervised2026.03 | 0.866 | 0.874 | |
| TRESArchitecture Type=CNN/Hand-crafted2023.10 | 0.859 | 0.858 | |
| TReSType=Non-diffusion2025.09 | 0.859 | 0.859 | |
| TReSType=Supervised2026.03 | 0.859 | 0.858 | |
| TReS2026.05 | 0.859 | 0.858 | |
| TReS2026.06 | 0.859 | 0.858 | |
| VCRNet2025.07 | 0.853 | 0.849 | |
| HyperIQA2022.04 | 0.852 | 0.845 | |
| HyperIQAArchitecture Type=CNN/Hand-crafted2023.10 | 0.852 | 0.845 | |
| HyperIQAType=Non-diffusion2025.09 | 0.852 | 0.845 | |
| HyperIQAType=Supervised2026.03 | 0.852 | 0.845 | |
| HyperIQA2026.05 | 0.852 | 0.845 | |
| HyperIQA2026.06 | 0.852 | 0.845 | |
| HyperIQA2026.06 | 0.852 | 0.845 | |
| DBCNN2022.04 | 0.851 | 0.856 | |
| DBCNNArchitecture Type=CNN/Hand-crafted2023.10 | 0.851 | 0.856 | |
| DBCNNType=Non-diffusion2025.09 | 0.851 | 0.856 | |
| DB-CNNType=Supervised2026.03 | 0.851 | 0.856 | |
| DBCNN2026.05 | 0.851 | 0.856 | |
| DBCNN2026.06 | 0.851 | 0.856 | |
| DB-CNN2026.06 | 0.851 | 0.856 | |
| TIQA2022.04 | 0.85 | 0.855 | |
| TIQAArchitecture Type=Transformer-based2023.10 | 0.85 | 0.855 | |
| TIQAType=Non-diffusion2025.09 | 0.85 | 0.855 | |
| P2P-BM2022.04 | 0.84 | 0.849 | |
| P2P-BMArchitecture Type=CNN/Hand-crafted2023.10 | 0.84 | 0.849 | |
| P2P-BMType=Non-diffusion2025.09 | 0.84 | 0.849 | |
| P2P-BM2026.05 | 0.84 | 0.849 | |
| CLIP-IQA+2026.06 | 0.823 | 0.838 | |
| EvoQualityModel Category=VLM-based, Zero-shot evaluation=true, Evolution Round=Round 22025.09 | 0.807 | 0.803 | |
| MM-IQA2026.04 | 0.805 | 0.813 | |
| Q-AlignModel Category=VLM-based, Zero-shot evaluation=true2025.09 | 0.792 | 0.795 | |
| EvoQualityModel Category=VLM-based, Zero-shot evaluation=true, Evolution Round=Round 12025.09 | 0.782 | 0.784 | |
| SHAMISATraining Dataset=TID20132026.03 | 0.779 | — | |
| ARNIQATraining Dataset=LIVE2026.03 | 0.764 | — | |
| MetaIQA2022.04 | 0.762 | 0.775 | |
| MetaIQAArchitecture Type=CNN/Hand-crafted2023.10 | 0.762 | 0.775 | |
| MetaIQAType=Non-diffusion2025.09 | 0.762 | 0.775 | |
| MetaIQA2026.05 | 0.762 | 0.775 | |
| Q-InsightModel Category=VLM-based, Zero-shot evaluation=true2025.09 | 0.762 | 0.759 | |
| HiRQATraining Dataset=Koniq10k and HiRQA2025.08 | 0.761 | 0.733 | |
| CLIP-IQA+Model Category=Discriminative Deep-Learning-based, Zero-shot evaluation=true2025.09 | 0.756 | 0.762 | |
| WaDIQaM2022.04 | 0.739 | 0.752 | |
| WaDIQaMArchitecture Type=CNN/Hand-crafted2023.10 | 0.739 | 0.752 | |
| WaDIQaMType=Non-diffusion2025.09 | 0.739 | 0.752 | |
| ARNIQATraining Dataset=CSIQ2026.03 | 0.735 | — |