Text-to-Image Generation on DVMP (challenge set)
53.67Concept SeparationNo majority winner
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| No majority winner2023.06 | 53.67 | 56.83 | — | — | — | |
| No majority winner2023.06 | 32.06 | 26.33 | — | — | — | |
| SynGen2023.06 | 29.22 | 23.55 | — | — | — | |
| SynGen2023.06 | 24.84 | 16 | — | — | — | |
| A&E2023.06 | 19.83 | 19 | — | — | — | |
| A&E2023.06 | 13.33 | 12.17 | — | — | — | |
| Stable Diffusion2023.06 | 9.89 | 15.56 | — | — | — | |
| Structured Diffusion2023.06 | 9 | 15.56 | — | — | — | |
| Structured Diffusion2023.06 | 4.33 | 7.83 | — | — | — | |
| Stable Diffusion2023.06 | 3.83 | 7.17 | — | — | — | |
| A&E2023.06 | — | — | 52.47 | 31.64 | 10.77 | |
| Stable Diffusion2023.06 | — | — | 47.8 | 30.44 | 26.22 | |
| Structured Diffusion2023.06 | — | — | 48.73 | 30.57 | 28.46 | |
| SynGen2023.06 | — | — | 74.9 | 19.49 | 16.26 |