Blind Image Quality Assessment on FLIVE
0.705SRCCLGDM
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| LGDM2025.09 | 0.705 | 0.812 | |
| MUSIQ2023.04 | 0.646 | 0.739 | |
| MUSIQ2026.06 | 0.646 | 0.739 | |
| Re-IQAModule=content + quality2023.04 | 0.645 | 0.733 | |
| Re-IQAType=SSL + LR2023.10 | 0.645 | 0.733 | |
| RE-IQAType=Non-diffusion2025.09 | 0.645 | 0.733 | |
| Re-IQAType=SSL+LR2026.03 | 0.645 | 0.733 | |
| ReIQA2026.06 | 0.645 | 0.733 | |
| QCNType=Non-diffusion2025.09 | 0.644 | 0.741 | |
| SHDIQANumber of trainable parameters=24M2026.05 | 0.639 | 0.735 | |
| Re-IQAOpinion-Unaware=false2024.03 | 0.623 | 0.685 | |
| QualiCLIP+Opinion-Unaware=false2024.03 | 0.618 | 0.665 | |
| QPT-ResNet50backbone=ResNet502023.03 | 0.6104 | 0.677 | |
| SHAMISAType=SSL+LR2026.03 | 0.61 | 0.688 | |
| SLIDE-IQA2026.06 | 0.61 | 0.708 | |
| CLIP-IQA+Opinion-Unaware=false2024.03 | 0.602 | 0.662 | |
| CONTRIQUEOpinion-Unaware=false2024.03 | 0.596 | 0.648 | |
| ImageNet Pretrained (Supervised)2023.04 | 0.595 | 0.648 | |
| ARNIQAType=SSL + LR2023.10 | 0.595 | 0.671 | |
| ARNIQAOpinion-Unaware=false2024.03 | 0.595 | 0.67 | |
| ARNIQAType=SSL+LR2026.03 | 0.595 | 0.671 | |
| ARNIQA2026.06 | 0.595 | 0.671 | |
| Re-IQAModule=content-aware2023.04 | 0.588 | 0.699 | |
| ReIQA-CBackbone=MoCov22026.06 | 0.588 | 0.699 | |
| Re-IQAModule=quality-aware2023.04 | 0.584 | 0.59 | |
| ReIQA-Q2026.06 | 0.584 | 0.59 | |
| GLIANetNumber of trainable parameters=8M2026.05 | 0.583 | 0.688 | |
| CONRTIQUE2023.03 | 0.58 | 0.641 | |
| CONTRIQUE2023.04 | 0.58 | 0.641 | |
| CONTRIQUEType=SSL + LR2023.10 | 0.58 | 0.641 | |
| CONTRIQUEType=SSL+LR2026.03 | 0.58 | 0.641 | |
| CONTRIQUE2026.06 | 0.58 | 0.641 | |
| TOPIQTrain on=KonIQ-10k2023.08 | 0.5796 | 0.6272 | |
| DP-IQA2025.09 | 0.579 | 0.683 | |
| LoDAType=Non-diffusion2025.09 | 0.578 | 0.679 | |
| LoDaNumber of trainable parameters=9M2026.05 | 0.578 | 0.679 | |
| GRepQOpinion-Unaware=false2024.03 | 0.576 | 0.611 | |
| Re-IQANumber of trainable parameters=48M2026.05 | 0.575 | 0.675 | |
| QMambaNumber of trainable parameters=50M2026.05 | 0.574 | 0.672 | |
| PaQ-2-PiQ2023.03 | 0.571 | 0.623 | |
| PaQ-2-PiQ2023.04 | 0.571 | 0.623 | |
| PaQ-2-PiQ2026.06 | 0.571 | 0.623 | |
| SLIDE-IQA-CBackbone=DINOv32026.06 | 0.571 | 0.685 | |
| TRIQA2026.06 | 0.567 | 0.653 | |
| MUSIQ2023.03 | 0.566 | 0.661 | |
| MUSIQType=Non-diffusion2025.09 | 0.566 | 0.661 | |
| MUSIQ2026.05 | 0.566 | 0.661 | |
| TOPIQTrain on=SPAQ2023.08 | 0.5653 | 0.6154 | |
| MUSIQTrain on=SPAQ2023.08 | 0.5627 | 0.6039 | |
| B_GatedActivation=Gated2025.09 | 0.556 | 0.647 | |
| B_Gated (Ours)Activation=Gated, Type=Non-diffusion2025.09 | 0.556 | 0.647 | |
| TRES2023.03 | 0.554 | 0.625 | |
| DB-CNN2023.04 | 0.554 | 0.652 | |
| DB-CNNType=Supervised learning2023.10 | 0.554 | 0.652 | |
| TRESType=Supervised learning2023.10 | 0.554 | 0.625 | |
| TReSType=Non-diffusion2025.09 | 0.554 | 0.625 | |
| DB-CNNType=Supervised2026.03 | 0.554 | 0.652 | |
| TReSType=Supervised2026.03 | 0.554 | 0.625 | |
| DB-CNN2026.06 | 0.554 | 0.652 | |
| TReS2026.06 | 0.554 | 0.625 | |
| DB-CNN2023.03 | 0.5537 | 0.6518 | |
| ResNet50backbone=ResNet502023.03 | 0.5514 | 0.6354 | |
| DBCNNType=Non-diffusion2025.09 | 0.545 | 0.551 | |
| DBCNN2026.05 | 0.545 | 0.551 | |
| HyperIQAType=Non-diffusion2025.09 | 0.544 | 0.602 | |
| HyperIQA2026.05 | 0.544 | 0.602 | |
| TReS2026.05 | 0.544 | 0.625 | |
| SFA2023.03 | 0.5415 | 0.626 | |
| TIQAType=Non-diffusion2025.09 | 0.541 | 0.581 | |
| MetaIQAType=Non-diffusion2025.09 | 0.54 | 0.507 | |
| MetaIQA2026.05 | 0.54 | 0.507 | |
| HyperIQA2023.03 | 0.5354 | 0.6228 | |
| HyperIQA2023.04 | 0.535 | 0.623 | |
| HyperIQAType=Supervised learning2023.10 | 0.535 | 0.623 | |
| HyperIQAType=Supervised2026.03 | 0.535 | 0.623 | |
| HyperIQA2026.06 | 0.535 | 0.623 | |
| BActivation=Baseline2025.09 | 0.533 | 0.641 | |
| B (Baseline)Type=Non-diffusion2025.09 | 0.533 | 0.641 | |
| P2P-BMType=Non-diffusion2025.09 | 0.526 | 0.598 | |
| P2P-BM2026.05 | 0.526 | 0.598 | |
| B_SigActivation=Sigmoid2025.09 | 0.521 | 0.608 | |
| B_Sig (Ours)Activation=Sigmoid, Type=Non-diffusion2025.09 | 0.521 | 0.608 | |
| SLIDE-IQA-Q2026.06 | 0.516 | 0.576 | |
| Q-HawkeyeTraining Dataset=KonIQ2026.01 | 0.513 | 0.64 | |
| Q-HawkeyeMethodology=MLLM-Based Methods2026.01 | 0.513 | 0.64 | |
| DeQA-ScoreTraining Dataset=KonIQ, SPAQ, KADID, PIPAL2026.01 | 0.501 | 0.589 | |
| DeQA-ScoreVenue=CVPR’25, Methodology=MLLM-Based Methods2026.01 | 0.501 | 0.589 | |
| Q-insightTraining Dataset=KonIQ, KADIS2026.01 | 0.499 | 0.62 | |
| MUSIQTrain on=KonIQ-10k2023.08 | 0.4978 | 0.5128 | |
| TRESTrain on=KonIQ-10k2023.08 | 0.4919 | 0.513 | |
| Q-insightVenue=NeurIPS’25, Methodology=MLLM-Based Methods2026.01 | 0.486 | 0.597 | |
| Q-AlignVenue=ICML’24, Methodology=MLLM-Based Methods2026.01 | 0.483 | 0.554 | |
| VisualQuality-R1Venue=NeurIPS’25, Methodology=MLLM-Based Methods2026.01 | 0.471 | 0.572 | |
| VisualQuality-R1Training Dataset=KADID, SPAQ2026.01 | 0.47 | 0.531 | |
| NIMAVenue=TIP’18, Methodology=Non-MLLM Deep-Learning2026.01 | 0.467 | 0.561 | |
| MUSIQVenue=ICCV’21, Methodology=Non-MLLM Deep-Learning2026.01 | 0.467 | 0.565 | |
| Qwen-SFTVenue=arXiv’25, Methodology=MLLM-Based Methods2026.01 | 0.461 | 0.532 | |
| WaDIQaMType=Non-diffusion2025.09 | 0.455 | 0.467 | |
| QualiCLIPOU (Opinion-Unaware)=true, Train Dataset=PIPAL, Evaluation Setting=Cross-dataset2024.03 | 0.442 | 0.556 | |
| QualiCLIPOpinion-Unaware=true2024.03 | 0.442 | 0.556 |