Class-conditional image generation on ImageNet 256x256 (50k samples)
1.83FIDVAR-d24 + VPG
Evaluation Results
| Method | Links | |
|---|---|---|
| VAR-d24 + VPGnumber of parameters=1.0B, lambda=1.82026.05 | 1.83 | |
| VAR-d30 + VPGnumber of parameters=2.0B, lambda=1.32026.05 | 1.84 | |
| VAR-d30number of parameters=2.0B2026.05 | 1.94 | |
| VAR-d24number of parameters=1.0B2026.05 | 2.15 | |
| VAR-d20 + VPGnumber of parameters=600M, lambda=2.42026.05 | 2.28 | |
| VAR-d20number of parameters=600M2026.05 | 2.67 | |
| VAR-d16 + VPGnumber of parameters=310M, lambda=3.02026.05 | 2.72 | |
| VAR-d16number of parameters=310M2026.05 | 3.35 |