ImageNet 256x256 imagenet-256x256-3 Leaderboard
Auto-discovered from papers reporting ImageNet 256x256 (Precision). · Metric: Precision (higher is better) · 🟢 Updated 12 min ago
| # | Model | Precision | Paper |
|---|---|---|---|
| 1 | SiT-XL/2 CAR-Flow Joint+cfg=1.5 | 0.82 | link |
| 2 | SiT-XL/2 cfg=1.5 | 0.81 | link |
| 3 | FrequencyBooster-H/16 | 0.75 | link |
| 4 | MaskDiT | 0.74 | link |
| 5 | PixelGen-XL/16 | 0.72 | link |
| 6 | LDM-4-G | 0.71 | link |
| 7 | REPA-XL-2 | 0.70 | link |
| 8 | ADM-U | 0.69 | link |
| 9 | SiT-XL | 0.68 | link |
| 10 | SiT-XL/2 CAR-Flow Joint | 0.68 | link |
| 11 | SiT-XL/2 CAR-Flow Source-only | 0.68 | link |
| 12 | SiT-XL/2 CAR-Flow Target-only | 0.68 | link |
| 13 | DiT-XL | 0.67 | link |
| 14 | SiT-XL/2 | 0.67 | link |
| 15 | DiT-B/2 (cfg=1.5) | 0.65 | link |
| 16 | PixelFlow-XL | 0.63 | link |
| 17 | DeCo-XL/16 | 0.60 | link |
| 18 | PixNerd-XL | 0.59 | link |
| 19 | MIND-B(Our) | 0.55 | link |
| 20 | SiT-B/2 | 0.53 | link |
| 21 | eMIGM-S | 0.49 | link |
| 22 | MIND-S(Our) | 0.48 | link |
| 23 | DiT-S/2 | 0.47 | link |
| 24 | SiT-S/2 | 0.41 | link |