| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| AIGCIQA 2023 | MA-AGIQA | SRCC0.853 | 34 | 1mo ago | |
| AIGIQA-20K | Q-Align | SRCC0.874 | 22 | 1mo ago | |
| Vectra 1.0 (test) | Vectra Model | Pearson R (Text Size)0.4948 | 14 | 1mo ago | |
| Adversarial Examples Visual Quality Evaluation | MF-ii | SSIM0.9 | 8 | 1mo ago | |
| Mip-NeRF360 | LightHarmony3D | Positive Score52.8 | 5 | 18d ago | |
| Q-Eval-100K Video 1.0 | Q-Eval-Score | Instance-level SRCC0.601 | 5 | 1mo ago | |
| Q-Eval-100K Image 1.0 | Q-Eval-Score | Instance-level SRCC0.732 | 5 | 1mo ago | |
| Go Stanford, ReCon, SCAND, and HuRoN (evaluation) | UniWM | SSIM0.457 | 4 | 25d ago |
