Quality Assessment on AIGCIQA 2023 (test)
0.778SRCCAGQG +IPCE
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| AGQG +IPCEIncorporates AGQG module=true, Training dataset=AGIQA-3K2025.12 | 0.778 | 0.78 | 0.779 | |
| IPCEIncorporates AGQG module=false, Training dataset=AGIQA-3K2025.12 | 0.764 | 0.755 | 0.76 | |
| AGQG +CLIP-AGIQAIncorporates AGQG module=true, Training dataset=AGIQA-3K2025.12 | 0.753 | 0.763 | 0.758 | |
| AGQG +CLIP-IQAIncorporates AGQG module=true, Training dataset=AGIQA-3K2025.12 | 0.733 | 0.748 | 0.741 | |
| CLIP-IQAIncorporates AGQG module=false, Training dataset=AGIQA-3K2025.12 | 0.689 | 0.718 | 0.704 | |
| AGQG +TIERIncorporates AGQG module=true, Training dataset=AGIQA-3K2025.12 | 0.687 | 0.698 | 0.693 | |
| AMFF-NetIncorporates AGQG module=false, Training dataset=AGIQA-3K2025.12 | 0.678 | 0.669 | 0.673 | |
| HyperIQAIncorporates AGQG module=false, Training dataset=AGIQA-3K2025.12 | 0.669 | 0.672 | 0.67 | |
| TIERIncorporates AGQG module=false, Training dataset=AGIQA-3K2025.12 | 0.667 | 0.679 | 0.673 | |
| DB-CNNIncorporates AGQG module=false, Training dataset=AGIQA-3K2025.12 | 0.654 | 0.664 | 0.659 | |
| Re-IQAIncorporates AGQG module=false, Training dataset=AGIQA-3K2025.12 | 0.654 | 0.654 | 0.654 | |
| MUSIQIncorporates AGQG module=false, Training dataset=AGIQA-3K2025.12 | 0.65 | 0.643 | 0.646 | |
| TReSIncorporates AGQG module=false, Training dataset=AGIQA-3K2025.12 | 0.65 | 0.654 | 0.652 | |
| ResNet50Incorporates AGQG module=false, Training dataset=AGIQA-3K2025.12 | 0.599 | 0.609 | 0.604 | |
| CLIP-AGIQAIncorporates AGQG module=false, Training dataset=AGIQA-3K2025.12 | 0.562 | 0.569 | 0.566 | |
| ViT-B/32Incorporates AGQG module=false, Training dataset=AGIQA-3K2025.12 | 0.517 | 0.529 | 0.523 |