Class-conditional Image Generation on ImageNet 256x256 1.0 (train test)
2.38FID
DSMoE-3B-E16
Updated 1mo ago
Evaluation Results
| Method | Links | ||
|---|---|---|---|
2025.12 | 2.38 | 304.93 | |
2025.12 | 2.55 | 278.35 | |
2025.12 | 2.59 | 272.55 | |
2025.12 | 2.84 | 256.57 | |
2025.12 | 4.27 | 191.03 | |
2025.12 | 4.5 | 186.79 | |
2025.12 | 4.87 | 183.43 | |
2025.12 | 7.52 | 135.29 | |
2025.12 | 9.19 | 118.52 | |
2025.12 | 9.8 | 115.45 | |
2025.12 | 11.16 | 107.74 | |
2025.12 | 14.53 | 97.55 | |
2025.12 | 14.81 | 96.51 | |
2025.12 | 15.47 | 94.04 | |
2025.12 | 19.46 | 72.69 | |
2025.12 | 20.33 | 71.42 | |
2025.12 | 20.83 | 70.26 | |
2025.12 | 39.84 | 38.63 | |
2025.12 | 40.2 | 38.09 | |
2025.12 | 41.02 | 37.53 |