Fine-Grained Aesthetic Assessment (Series-level) on FGAesthetics Cropping
48.8Series AccuracyFGAesQ (w DiffToken)
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| FGAesQ (w DiffToken)Params=86.3M, DiffToken=Enabled2026.03 | 48.8 | 0.59 | |
| MUSIQ (Fine-tuned)Params=78.6M, Evaluation Protocol=Fine-tuned2026.03 | 48.7 | 0.556 | |
| FGAesQ (w/o DiffToken)Params=86.3M, DiffToken=Disabled2026.03 | 48.3 | 0.537 | |
| Charm (Fine-tuned)Params=85.7M, Evaluation Protocol=Fine-tuned2026.03 | 46.7 | 0.517 | |
| VILA (CVPR 2023)Params=303M2026.03 | 42.3 | 0.443 | |
| Q-Align (ICML 2024)Params=8.20B2026.03 | 41.3 | 0.487 | |
| MLSP (CVPR 2019)Params=114 M2026.03 | 39.6 | 0.43 | |
| Charm (CVPR 2025)Params=85.7M2026.03 | 38.1 | 0.432 | |
| MUSIQ (ICCV 2021)Params=78.6M2026.03 | 37.5 | 0.495 | |
| VILA (Fine-tuned)Params=303M, Evaluation Protocol=Fine-tuned2026.03 | 37.3 | 0.439 | |
| UNIAA (arXiv 2024)Params=7.06B2026.03 | 30 | 0.386 | |
| NIMA (Fine-tuned)Params=54.3M, Evaluation Protocol=Fine-tuned2026.03 | 27.7 | 0.352 | |
| RealQA (arXiv 2025)Params=8.29B2026.03 | 27.5 | 0.235 | |
| NIMA (TIP 2018)Params=54.3M2026.03 | 27.2 | 0.312 | |
| TANet (IJCAI 2022)Params=13.9M2026.03 | 24.4 | 0.295 |