Unconditional Image Generation on ImageNet 256x256 (train)
2.15FIDRCG (MAGE-L)
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| RCG (MAGE-L)#params=502M, Guidance=w/ Guidance2023.12 | 2.15 | — | — | 253.4 | |
| RCG-G (MAGE-L)number of parameters=502M, backbone=MAGE-L, guided=true2023.12 | 2.15 | — | — | 253.4 | |
| RCG-G (MAGE-B)number of parameters=239M, backbone=MAGE-B, guided=true2023.12 | 3.19 | — | — | 212.6 | |
| RCG (MAGE-L)#params=502M, Guidance=w/o Guidance2023.12 | 3.44 | — | — | 186.9 | |
| RCG (MAGE-L)number of parameters=502M, backbone=MAGE-L, guided=false2023.12 | 3.44 | — | — | 186.9 | |
| RCG (MAGE-B)number of parameters=239M, backbone=MAGE-B, guided=false2023.12 | 3.98 | — | — | 177.8 | |
| RDM-INnumber of parameters=400M, semi-parametric=true2023.12 | 5.91 | — | — | 158.8 | |
| MAGE-Lnumber of parameters=439M, semi-parametric=false2023.12 | 7.04 | — | — | 123.5 | |
| MAGE-Bnumber of parameters=176M, semi-parametric=false2023.12 | 8.67 | — | — | 94.8 | |
| ADDPnumber of parameters=176M, semi-parametric=false2023.12 | 8.9 | — | — | 95.3 | |
| MAGE (VIT-L)temperature=62023.12 | 9.95 | 0.66 | 0.66 | — | |
| GIVT-Causal-Lk=16, temperature=0.952023.12 | 11.02 | 0.72 | 0.6 | — | |
| MAGE (VIT-B)temperature=62023.12 | 12.08 | 0.62 | 0.64 | — | |
| IC-GANnumber of parameters=~75M, semi-parametric=true2023.12 | 15.6 | — | — | 59 | |
| GIVT-Causalk=16, temperature=0.952023.12 | 17.7 | 0.66 | 0.63 | — | |
| RCDMsemi-parametric=true2023.12 | 19 | — | — | 51.9 | |
| GIVT-Causalk=1, temperature=0.92023.12 | 19.92 | 0.63 | 0.6 | — | |
| MaskGITnumber of parameters=227M, semi-parametric=false2023.12 | 20.72 | — | — | 42.1 | |
| ADM2023.12 | 26.2 | 0.61 | 0.63 | — | |
| ADMnumber of parameters=554M, semi-parametric=false2023.12 | 26.21 | — | — | 39.7 | |
| BigGANnumber of parameters=~70M, semi-parametric=false2023.12 | 38.61 | — | — | 24.7 |