Video Generation on VBench 1.0 (test)
84.71Image QualityWan-DMD
Evaluation results
| Method | Links | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Wan-DMDSteps=42026.01 | 84.71 | — | — | — | — | — | — | 83.33 | 77.86 | |
| PyramidalWan-Adv-PDInference Schedule=2-2-12026.01 | 84.2 | — | — | — | — | — | — | 82.57 | 76.07 | |
| Wan-AdvSteps=42026.01 | 84.06 | — | — | — | — | — | — | 82.72 | 77.39 | |
| Wan-DMDSteps=22026.01 | 84 | — | — | — | — | — | — | 83.28 | 80.41 | |
| PyramidalWan-Adv-ODInference Schedule=2-2-12026.01 | 83.94 | — | — | — | — | — | — | 82.9 | 78.74 | |
| Wan-AdvSteps=22026.01 | 83.74 | — | — | — | — | — | — | 82.35 | 76.82 | |
| PyramidalWan-DMD-OTInference Schedule=2-2-12026.01 | 83.63 | — | — | — | — | — | — | 82.86 | 79.8 | |
| Wan2.1-1.3BSteps=502026.01 | 83.47 | — | — | — | — | — | — | 82.49 | 78.57 | |
| PyramidalWan-DMD-PT*Inference Schedule=2-2-12026.01 | 83.46 | — | — | — | — | — | — | 82.72 | 79.75 | |
| PyramidalWanInference Schedule=20-20-102026.01 | 83.36 | — | — | — | — | — | — | 82.83 | 80.7 | |
| Wan-PPF-DMDInference Schedule=2-2-12026.01 | 83.04 | — | — | — | — | — | — | 82.39 | 79.8 | |
| Wan2.1-1.3BSteps=252026.01 | 82.09 | — | — | — | — | — | — | 80.87 | 76.02 | |
| Wan-AdvSteps=12026.01 | 81.38 | — | — | — | — | — | — | 80.28 | 75.85 | |
| Wan-DMDSteps=12026.01 | 80.63 | — | — | — | — | — | — | 79.45 | 74.75 | |
| PhysRVGInput Modality=V2V models2026.01 | 0.6496 | 0.9697 | 0.9774 | 0.9963 | 0.52 | 0.4136 | 0.9958 | 0.7889 | — | |
| Kling2.5Input Modality=I2V models2026.01 | 0.6485 | 0.9532 | 0.9556 | 0.9947 | 0.5714 | 0.4029 | 0.9876 | 0.7877 | — | |
| Wan2.2 14BInput Modality=I2V models2026.01 | 0.6066 | 0.9475 | 0.9594 | 0.9921 | 0.5 | 0.3861 | 0.9864 | 0.7683 | — | |
| Magi-1Input Modality=V2V models2026.01 | 0.6066 | 0.9703 | 0.974 | 0.9957 | 0.4828 | 0.3767 | 0.9955 | 0.7716 | — | |
| HunyuanVideoInput Modality=I2V models2026.01 | 0.598 | 0.9599 | 0.9675 | 0.9947 | 0.46 | 0.4128 | 0.9906 | 0.7697 | — | |
| Wan2.2 5BInput Modality=I2V models2026.01 | 0.5906 | 0.8664 | 0.9035 | 0.9787 | 0.56 | 0.3702 | 0.9711 | 0.7486 | — | |
| CogvideoxInput Modality=I2V models2026.01 | 0.5249 | 0.9228 | 0.9587 | 0.991 | 0.46 | 0.3889 | 0.9866 | 0.7476 | — | |
| CogVideoX-2B2026.05 | — | — | 96.6 | 97.7 | — | 57.1 | 98.9 | — | — | |
| GeoVideo2026.05 | — | — | 97.8 | 98.1 | — | 50.1 | 94.9 | — | — | |
| MoAlign2026.05 | — | — | — | — | — | — | — | — | 72.95 | |
| Ours2026.05 | — | — | 97.1 | 98.7 | — | 58.9 | 99.6 | — | — | |
| Pretrained Wan2.22026.05 | — | — | — | — | — | — | — | — | 72.74 | |
| SARA2026.05 | — | — | — | — | — | — | — | — | 73.89 | |
| SFT2026.05 | — | — | — | — | — | — | — | — | 72.17 | |
| SFT2026.05 | — | — | 94.2 | 96.4 | — | 56.6 | 98.6 | — | — | |
| VideoGPA2026.05 | — | — | 96.1 | 97.4 | — | 60 | 96.6 | — | — | |
| VideoRepa2026.05 | — | — | 94.5 | 99 | — | 47.7 | 98.3 | — | — | |
| VideoREPA2026.05 | — | — | — | — | — | — | — | — | 72.99 | |
| Wan2.12026.05 | — | — | 95.8 | 97.1 | — | 58.2 | 99.4 | — | — |