Consistency Assessment on AIGCIQA2023 (test)
0.626SRCCAGQG +IPCE
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| AGQG +IPCEIncorporates AGQG module=true, Training dataset=AGIQA-3K2025.12 | 0.626 | 0.619 | 0.623 | |
| IPCEIncorporates AGQG module=false, Training dataset=AGIQA-3K2025.12 | 0.608 | 0.602 | 0.605 | |
| AGQG +CLIP-IQAIncorporates AGQG module=true, Training dataset=AGIQA-3K2025.12 | 0.576 | 0.543 | 0.56 | |
| AMFF-NetIncorporates AGQG module=false, Training dataset=AGIQA-3K2025.12 | 0.546 | 0.549 | 0.547 | |
| CLIP-IQAIncorporates AGQG module=false, Training dataset=AGIQA-3K2025.12 | 0.526 | 0.49 | 0.508 | |
| MUSIQIncorporates AGQG module=false, Training dataset=AGIQA-3K2025.12 | 0.525 | 0.515 | 0.52 | |
| TReSIncorporates AGQG module=false, Training dataset=AGIQA-3K2025.12 | 0.505 | 0.483 | 0.494 | |
| AGQG +TIERIncorporates AGQG module=true, Training dataset=AGIQA-3K2025.12 | 0.5 | 0.478 | 0.489 | |
| Re-IQAIncorporates AGQG module=false, Training dataset=AGIQA-3K2025.12 | 0.479 | 0.484 | 0.481 | |
| DB-CNNIncorporates AGQG module=false, Training dataset=AGIQA-3K2025.12 | 0.47 | 0.46 | 0.465 | |
| TIERIncorporates AGQG module=false, Training dataset=AGIQA-3K2025.12 | 0.465 | 0.466 | 0.466 | |
| HyperIQAIncorporates AGQG module=false, Training dataset=AGIQA-3K2025.12 | 0.464 | 0.431 | 0.447 | |
| ResNet50Incorporates AGQG module=false, Training dataset=AGIQA-3K2025.12 | 0.432 | 0.435 | 0.433 | |
| ViT-B/32Incorporates AGQG module=false, Training dataset=AGIQA-3K2025.12 | 0.381 | 0.39 | 0.385 |