Consistency Assessment on AGIQA-3K (test)
0.663SRCCAGQG +IPCE
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| AGQG +IPCEIncorporates AGQG module=true, Training dataset=AIGCIQA20232025.12 | 0.663 | 0.741 | 0.702 | |
| IPCEIncorporates AGQG module=false, Training dataset=AIGCIQA20232025.12 | 0.655 | 0.73 | 0.693 | |
| AGQG +CLIP-IQAIncorporates AGQG module=true, Training dataset=AIGCIQA20232025.12 | 0.58 | 0.651 | 0.616 | |
| AMFF-NetIncorporates AGQG module=false, Training dataset=AIGCIQA20232025.12 | 0.554 | 0.624 | 0.589 | |
| CLIP-IQAIncorporates AGQG module=false, Training dataset=AIGCIQA20232025.12 | 0.487 | 0.544 | 0.516 | |
| AGQG +TIERIncorporates AGQG module=true, Training dataset=AIGCIQA20232025.12 | 0.476 | 0.5 | 0.488 | |
| ResNet50Incorporates AGQG module=false, Training dataset=AIGCIQA20232025.12 | 0.473 | 0.523 | 0.498 | |
| TIERIncorporates AGQG module=false, Training dataset=AIGCIQA20232025.12 | 0.453 | 0.47 | 0.462 | |
| TReSIncorporates AGQG module=false, Training dataset=AIGCIQA20232025.12 | 0.445 | 0.488 | 0.466 | |
| ViT-B/32Incorporates AGQG module=false, Training dataset=AIGCIQA20232025.12 | 0.434 | 0.496 | 0.465 | |
| HyperIQAIncorporates AGQG module=false, Training dataset=AIGCIQA20232025.12 | 0.418 | 0.465 | 0.441 | |
| MUSIQIncorporates AGQG module=false, Training dataset=AIGCIQA20232025.12 | 0.394 | 0.437 | 0.416 | |
| DB-CNNIncorporates AGQG module=false, Training dataset=AIGCIQA20232025.12 | 0.39 | 0.435 | 0.412 | |
| Re-IQAIncorporates AGQG module=false, Training dataset=AIGCIQA20232025.12 | 0.243 | 0.154 | 0.198 |