Unconditional Generation on CIFAR-10 (test)
1.92FIDSID
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| SIDFamily=Distill, NFE=12025.12 | 1.92 | — | — | — | — | |
| LSGM2021.12 | 2.1 | 9.87 | 0.61 | 147 | 44.5 | |
| LSGMNFE=1472022.02 | 2.1 | — | 0.61 | — | — | |
| Score SDE (VE)2021.12 | 2.2 | 9.89 | 0.59 | 2,000 | 423.2 | |
| Score SDE (VE)NFE=20002022.02 | 2.2 | — | 0.59 | — | — | |
| UDM2021.12 | 2.33 | 10.1 | — | 2,000 | — | |
| UDMNFE=20002022.02 | 2.33 | — | — | — | — | |
| Score SDE (VP)2021.12 | 2.41 | 9.68 | 0.59 | 2,000 | 421.5 | |
| Score SDE (VP)NFE=20002022.02 | 2.41 | — | 0.59 | — | — | |
| Gotta Go Fast2021.12 | 2.44 | — | — | 180 | — | |
| Gotta Go FastNFE=1802022.02 | 2.44 | — | — | — | — | |
| Progressive distillationNFE=82022.02 | 2.57 | — | — | — | — | |
| DMDFamily=Distill, NFE=12025.12 | 2.66 | — | — | — | — | |
| TDPM+NFE=100, T_Trunc=99, Backbone=Improved DDPM backbone2022.02 | 2.83 | — | 0.58 | — | — | |
| TDPM+Ttrunc=99, NFE=1002022.02 | 2.83 | — | 0.58 | — | — | |
| iCTFamily=Shortcut, NFE=12025.12 | 2.83 | — | — | — | — | |
| ESCFamily=Shortcut, NFE=12025.12 | 2.83 | — | — | — | — | |
| Likelihood SDE2021.12 | 2.87 | — | — | — | — | |
| Likelihood SDENFE=20002022.02 | 2.87 | — | — | — | — | |
| TDPM+NFE=100, T_Trunc=99, Backbone=DDPM backbone, Implicit model=StyleGAN2 network2022.02 | 2.88 | — | 0.58 | — | — | |
| Improved DDPM2021.12 | 2.9 | — | — | 4,000 | — | |
| Improved DDPMNFE=4000, Backbone=Improved DDPM backbone2022.02 | 2.9 | — | 0.58 | — | — | |
| Improved DDPMNFE=40002022.02 | 2.9 | — | — | — | — | |
| StyleGAN2 w/ ADA2021.12 | 2.92 | 9.83 | 0.49 | 1 | 0.04 | |
| StyleGAN2-ADANFE=1, Backbone=GAN-based2022.02 | 2.92 | — | 0.49 | — | — | |
| StyleGAN2 w/ ADANFE=1, ADA=true2022.02 | 2.92 | — | 0.46 | — | — | |
| MeanFlowFamily=Shortcut, NFE=12025.12 | 2.92 | — | — | — | — | |
| TDPM+NFE=50, T_Trunc=49, Backbone=DDPM backbone, Implicit model=StyleGAN2 network2022.02 | 2.94 | — | 0.58 | — | — | |
| TDPM+NFE=50, T_Trunc=49, Backbone=Improved DDPM backbone2022.02 | 2.96 | — | 0.58 | — | — | |
| TDPM+Ttrunc=49, NFE=502022.02 | 2.96 | — | 0.58 | — | — | |
| TDPMNFE=100, T_Trunc=99, Backbone=Improved DDPM backbone2022.02 | 2.97 | — | 0.57 | — | — | |
| TDPMTtrunc=99, NFE=1002022.02 | 2.97 | — | 0.57 | — | — | |
| sCTFamily=Shortcut, NFE=12025.12 | 2.97 | — | — | — | — | |
| Progressive distillationNFE=42022.02 | 3 | — | — | — | — | |
| Probability Flow (VP)2021.12 | 3.08 | 9.83 | 0.57 | 140 | 50.9 | |
| Probability Flow (VP)NFE=1402022.02 | 3.08 | — | 0.57 | — | — | |
| TDPMNFE=100, T_Trunc=99, Backbone=DDPM backbone, Implicit model=denoising U-Net2022.02 | 3.1 | — | 0.57 | — | — | |
| TDPMNFE=50, T_Trunc=49, Backbone=Improved DDPM backbone2022.02 | 3.11 | — | 0.57 | — | — | |
| TDPMTtrunc=49, NFE=502022.02 | 3.11 | — | 0.57 | — | — | |
| TDPM+NFE=5, T_Trunc=4, Backbone=Improved DDPM backbone2022.02 | 3.17 | — | 0.57 | — | — | |
| TDPM+Ttrunc=4, NFE=52022.02 | 3.17 | — | 0.57 | — | — | |
| IMMFamily=Shortcut, NFE=12025.12 | 3.2 | — | — | — | — | |
| DDPM2021.12 | 3.21 | 9.46 | 0.57 | 1,000 | 80.5 | |
| DDPMNFE=1000, Backbone=DDPM backbone2022.02 | 3.21 | — | 0.57 | — | — | |
| TDPM+NFE=5, T_Trunc=4, Backbone=DDPM backbone, Implicit model=StyleGAN2 network2022.02 | 3.21 | — | 0.57 | — | — | |
| DDPMNFE=10002022.02 | 3.21 | — | 0.57 | — | — | |
| TDPMNFE=50, T_Trunc=49, Backbone=DDPM backbone, Implicit model=denoising U-Net2022.02 | 3.3 | — | 0.57 | — | — | |
| TDPMNFE=5, T_Trunc=4, Backbone=DDPM backbone, Implicit model=denoising U-Net2022.02 | 3.34 | — | 0.57 | — | — | |
| FastDDPMT=502021.12 | 3.41 | 8.98 | 0.56 | 50 | 4.01 | |
| FastDDPMT=50, NFE=502022.02 | 3.41 | — | 0.56 | — | — | |
| TDPMNFE=5, T_Trunc=4, Backbone=Improved DDPM backbone2022.02 | 3.51 | — | 0.55 | — | — | |
| TDPMTtrunc=4, NFE=52022.02 | 3.51 | — | 0.55 | — | — | |
| ECTFamily=Shortcut, NFE=12025.12 | 3.6 | — | — | — | — | |
| Denoising Diffusion GANT=42021.12 | 3.75 | 9.63 | 0.57 | 4 | 0.21 | |
| DDGANNFE=4, Backbone=GAN-based2022.02 | 3.75 | — | 0.57 | — | — | |
| Denoising Diffusion GANT=4, NFE=42022.02 | 3.75 | — | 0.57 | — | — | |
| TDPM+Ttrunc=1, NFE=22022.02 | 3.86 | — | 0.56 | — | — | |
| Improved DDPM+DDIMNFE=50, Backbone=Improved DDPM backbone2022.02 | 3.92 | — | 0.55 | — | — | |
| VDM2021.12 | 4 | — | — | 1,000 | — | |
| VDMNFE=10002022.02 | 4 | — | — | — | — | |
| Denoising Diffusion GANT=2, NFE=22022.02 | 4.08 | — | 0.54 | — | — | |
| Denoising Diffusion GANT=8, NFE=82022.02 | 4.36 | — | 0.56 | — | — | |
| TDPMTtrunc=1, NFE=22022.02 | 4.47 | — | 0.53 | — | — | |
| Progressive distillationNFE=22022.02 | 4.51 | — | — | — | — | |
| Diff-InstructFamily=Distill, NFE=12025.12 | 4.53 | — | — | — | — | |
| DDIMT=502021.12 | 4.67 | 8.78 | 0.53 | 50 | 4.01 | |
| DDIMNFE=50, Backbone=DDPM backbone2022.02 | 4.67 | — | 0.53 | — | — | |
| DDIMT=50, NFE=502022.02 | 4.67 | — | 0.53 | — | — | |
| StyleGAN2 w/ Diffaug2021.12 | 5.79 | 9.4 | 0.42 | 1 | 0.04 | |
| StyleGAN2 w/ DiffaugNFE=1, Diffaug=true2022.02 | 5.79 | — | 0.42 | — | — | |
| Adversarial DSM2021.12 | 6.1 | — | — | 1,000 | — | |
| Adversarial DSMNFE=10002022.02 | 6.1 | — | — | — | — | |
| D3PMs2021.12 | 7.34 | 8.56 | — | 1,000 | — | |
| TDPMNFE=1, T_Trunc=0, Backbone=DDPM backbone, Discriminator=StyleGAN22022.02 | 7.34 | — | 0.46 | — | — | |
| D3PMsNFE=10002022.02 | 7.34 | — | — | — | — | |
| TDPMTtrunc=0, NFE=12022.02 | 7.34 | — | 0.46 | — | — | |
| StyleGAN2 w/o ADA2021.12 | 8.32 | 9.18 | 0.41 | 1 | 0.04 | |
| StyleGAN2NFE=1, Backbone=GAN-based2022.02 | 8.32 | — | 0.41 | — | — | |
| StyleGAN2 w/o ADANFE=1, ADA=false2022.02 | 8.32 | — | 0.41 | — | — | |
| DiffuseVAET=1000, NFE=10002022.02 | 8.72 | — | — | — | — | |
| Progressive distillationNFE=12022.02 | 9.12 | — | — | — | — | |
| TransGAN2021.12 | 9.26 | 9.02 | — | 1 | — | |
| TransGANNFE=12022.02 | 9.26 | — | — | — | — | |
| DDPM Distillation2021.12 | 9.36 | 8.36 | 0.51 | 1 | — | |
| DDPM DistillationNFE=12022.02 | 9.36 | — | 0.51 | — | — | |
| Recovery EBM2021.12 | 9.58 | 8.3 | — | 180 | — | |
| Recovery EBMNFE=1802022.02 | 9.58 | — | — | — | — | |
| SNGAN+DGflow2021.12 | 9.62 | 9.35 | 0.48 | 25 | 1.98 | |
| SNGAN+DGflowNFE=252022.02 | 9.62 | — | 0.48 | — | — | |
| DiffuseVAET=100, NFE=1002022.02 | 11.71 | — | — | — | — | |
| VAEBM2021.12 | 12.2 | 8.43 | 0.53 | 16 | 8.79 | |
| AutoGAN2021.12 | 12.4 | 8.6 | 0.46 | 1 | — | |
| AutoGANNFE=12022.02 | 12.4 | — | 0.46 | — | — | |
| Denoising Diffusion GANT=1, NFE=12022.02 | 14.6 | — | 0.19 | — | — | |
| SNGAN2021.12 | 21.7 | 8.22 | 0.44 | 1 | — | |
| SNGANNFE=12022.02 | 21.7 | — | 0.44 | — | — | |
| NVAE2021.12 | 23.5 | 7.18 | 0.51 | 1 | 0.36 | |
| NCSN2021.12 | 25.3 | 8.87 | — | 1,000 | 107.9 | |
| NCSNNFE=10002022.02 | 25.3 | — | — | — | — | |
| IGEBM2021.12 | 40.6 | 6.02 | — | 60 | — |