Fair Text-to-Image Generation on CelebA Multi tSA
0.0124FDFairQueue
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| FairQueuetSA=Gender x Young2024.10 | 0.0124 | 0.686 | 71.7 | 0.373 | |
| ITI-GENtSA=Gender x Young2024.10 | 0.0391 | 0.668 | 72.6 | 0.458 | |
| FairQueuetSA=Gender x Young x Eyeglasses x Smiling2024.10 | 0.168 | 0.661 | 60.8 | 0.379 | |
| ITI-GENtSA=Gender x Young x Eyeglasses x Smiling2024.10 | 0.19 | 0.643 | 65.5 | 0.475 | |
| FairQueuetSA=Gender x Young x Eyeglasses2024.10 | 0.208 | 0.671 | 61.5 | 0.36 | |
| ITI-GENtSA=Gender x Young x Eyeglasses2024.10 | 0.257 | 0.654 | 65.2 | 0.475 |