Unconditional Image Generation on MNIST
13.818FIDLatent-CFM (joint)
Evaluation Results
| Method | Links | |
|---|---|---|
| Latent-CFM (joint)# Params.=1.58 M, Solver=Euler (100 steps)2025.05 | 13.818 | |
| Latent-CFM (pretrained)# Params.=1.58 M, Solver=Euler (100 steps)2025.05 | 13.848 | |
| I-CFM# Params.=1.56 M, Solver=Euler (100 steps)2025.05 | 14.272 | |
| Latent-CFM (pretrained)# Params.=1.58 M, Solver=Euler (1000 steps)2025.05 | 14.543 | |
| Latent-CFM (joint)# Params.=1.58 M, Solver=Euler (1000 steps)2025.05 | 14.572 | |
| Latent-CFM (joint)# Params.=1.58 M, Solver=Adaptive (dopri5)2025.05 | 14.674 | |
| Latent-CFM (pretrained)# Params.=1.58 M, Solver=Adaptive (dopri5)2025.05 | 14.694 | |
| I-CFM# Params.=1.56 M, Solver=Euler (1000 steps)2025.05 | 14.928 | |
| I-CFM# Params.=1.56 M, Solver=Adaptive (dopri5)2025.05 | 15.05 | |
| OT-FM# Params.=1.56 M, Solver=Euler (100 steps)2025.05 | 15.101 | |
| OT-FM# Params.=1.56 M, Solver=Euler (1000 steps)2025.05 | 15.88 | |
| OT-FM# Params.=1.56 M, Solver=Adaptive (dopri5)2025.05 | 16.012 |