Unsupervised Conditional Image Generation on Oxford102-Flowers Fine-Grained
12.6FIDOurs (Repar.)
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Ours (Repar.)Backbone=LDM2026.06 | 12.6 | 3.91 | 50.91 | 76.24 | 51.57 | |
| Ours (Noise)Backbone=LDM2026.06 | 15.41 | 3.96 | 51.98 | 66.01 | 51.44 | |
| SG-DM+DINOBackbone=LDM2026.06 | 17.88 | 3.72 | 54.24 | 46.88 | 64.57 | |
| SG-DM+MSNBackbone=LDM2026.06 | 18.8 | 3.71 | 49.57 | 44.4 | 70.17 | |
| SG-DM+SimCLRBackbone=LDM2026.06 | 19.11 | 3.71 | 50.26 | 43.68 | 80.44 | |
| Self-Cond GANBackbone=BigGAN2026.06 | 41.21 | 3.65 | 0.25 | 32.94 | — | |
| ClusterGANBackbone=BigGAN2026.06 | 83.19 | 2.91 | 0.85 | 15.03 | 51.63 | |
| IC-GANBackbone=BigGAN2026.06 | 95.98 | 2.49 | 0.32 | 12.13 | — | |
| MIC-GANsBackbone=BigGAN2026.06 | 104.89 | 2.57 | 0.17 | 21.34 | 79.84 |