Generative Modeling on MNIST
76.93NLL (nats)CR-NVAE
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| CR-NVAEData Augmentation=true2026.06 | 76.93 | — | — | — | — | — | — | — | |
| DVP-VAE2026.06 | 77.1 | — | — | — | — | — | — | — | |
| IVRS+NVAE2026.06 | 77.36 | — | — | — | — | — | — | — | |
| Local Mask PixelCNN2026.06 | 77.58 | — | — | — | — | — | — | — | |
| Attention VAEModel type=VAE Models with an Unconditional Decoder, Importance samples=10002024.08 | 77.63 | — | — | — | — | — | — | — | |
| Generalized GBNModel type=Gamma VAE Models, Importance samples=10002024.08 | 77.86 | — | — | — | — | — | — | — | |
| MAEResolution=28x282020.07 | 77.98 | — | — | — | — | — | — | — | |
| MAEModel type=VAE and Flow Models with Autoregressive Components, Importance samples=10002024.08 | 77.98 | — | — | — | — | — | — | — | |
| PixelVAE++Resolution=28x282020.07 | 78 | — | — | — | — | — | — | — | |
| PixelVAE++2026.06 | 78 | — | — | — | — | — | — | — | |
| PixelVAE++Model type=VAE and Flow Models with Autoregressive Components, Importance samples=10002024.08 | 78 | — | — | — | — | — | — | — | |
| NVAEResolution=28x28, Flow=Without flow2020.07 | 78.01 | — | — | — | — | — | — | — | |
| NVAE2026.06 | 78.01 | — | — | — | — | — | — | — | |
| VDVAEModel type=VAE Models with an Unconditional Decoder, Importance samples=10002024.08 | 78.07 | — | — | — | — | — | — | — | |
| NVAEResolution=28x28, Flow=With flow2020.07 | 78.19 | — | — | — | — | — | — | — | |
| NVAEModel type=VAE Models with an Unconditional Decoder, Importance samples=10002024.08 | 78.19 | — | — | — | — | — | — | — | |
| BIVAResolution=28x282020.07 | 78.41 | — | — | — | — | — | — | — | |
| BIVAModel type=VAE Models with an Unconditional Decoder, Importance samples=10002024.08 | 78.41 | — | — | — | — | — | — | — | |
| VampPriorResolution=28x282020.07 | 78.45 | — | — | — | — | — | — | — | |
| VampPriorModel type=VAE and Flow Models with Autoregressive Components, Importance samples=10002024.08 | 78.45 | — | — | — | — | — | — | — | |
| DVAE++Resolution=28x282020.07 | 78.49 | — | — | — | — | — | — | — | |
| DVAE++Model type=VAE Models with an Unconditional Decoder, Importance samples=10002024.08 | 78.49 | — | — | — | — | — | — | — | |
| Lossy VAEResolution=28x282020.07 | 78.53 | — | — | — | — | — | — | — | |
| Lossy VAEModel type=VAE and Flow Models with Autoregressive Components, Importance samples=10002024.08 | 78.53 | — | — | — | — | — | — | — | |
| Efficient-VDVAE2026.06 | 79.09 | — | — | — | — | — | — | — | |
| IAF-VAEResolution=28x282020.07 | 79.1 | — | — | — | — | — | — | — | |
| IVRS2026.06 | 81.78 | — | — | — | — | — | — | — | |
| SIVIStochastic layers=3, IW=102026.06 | 83.25 | — | — | — | — | — | — | — | |
| AVB2026.06 | 83.7 | — | — | — | — | — | — | — | |
| DARNNumber of Hidden Layers=12026.06 | 84.13 | — | — | — | — | — | — | — | |
| DBNNumber of Hidden Layers=22026.06 | 84.55 | — | — | — | — | — | — | — | |
| Auxiliary VAEL=1, IW=12026.06 | 84.59 | — | — | — | — | — | — | — | |
| DBMNumber of Hidden Layers=22026.06 | 84.62 | — | — | — | — | — | — | — | |
| EoNADE-5Number of Hidden Layers=2, Number of Orderings=1282026.06 | 84.68 | — | — | — | — | — | — | — | |
| DirVAEModel type=Non-Gaussian VAE Models, Importance samples=10002024.08 | 84.76 | — | — | — | — | — | — | — | |
| IWAE + IWAE2026.06 | 84.78 | — | — | — | — | — | — | — | |
| VAE + IAF2026.06 | 84.9 | — | — | — | — | — | — | — | |
| VAE + NFk=802026.06 | 85.1 | — | — | — | — | — | — | — | |
| VAE + HVIleapfrog steps=82026.06 | 85.51 | — | — | — | — | — | — | — | |
| VAE + NFk=402026.06 | 85.7 | — | — | — | — | — | — | — | |
| VAE + HVIleapfrog steps=42026.06 | 86.4 | — | — | — | — | — | — | — | |
| VAE + IWAE2026.06 | 86.76 | — | — | — | — | — | — | — | |
| VAE + NICEk=802026.06 | 87.2 | — | — | — | — | — | — | — | |
| VAE + HVIleapfrog steps=12026.06 | 88.08 | — | — | — | — | — | — | — | |
| NADE2026.06 | 88.33 | — | — | — | — | — | — | — | |
| SBVAEModel type=Non-Gaussian VAE Models, Importance samples=10002024.08 | 99.27 | — | — | — | — | — | — | — | |
| Gaussian2025.09 | 115.84 | — | — | — | — | — | 35.59 | 102.56 | |
| Vine2025.09 | 198.1 | — | — | — | — | — | 36.3 | 86.48 | |
| Ratio2025.09 | 334.42 | — | — | — | — | — | 35.98 | 66.56 | |
| Cdc2025.09 | 346.7 | — | — | — | — | — | 33.64 | 7.38 | |
| cdc2025.09 | — | — | — | — | 2 | 42 | — | — | |
| Emerging2023.01 | — | — | 0.16 | 0.62 | — | — | — | — | |
| FInC Flow2023.01 | — | 1.05 | 0.14 | 0.09 | — | — | — | — | |
| GlowFlow Type=Discrete Flow2021.02 | — | 1.05 | — | — | — | — | — | — | |
| i-ResNetFlow Type=Discrete Flow2021.02 | — | 1.05 | — | — | — | — | — | — | |
| IGC2025.09 | — | — | — | — | 12 | 0.0013 | — | — | |
| IGC2025.09 | — | — | — | — | — | — | 36.37 | 128.87 | |
| MALIFlow Type=Continuous Flow (FFJORD)2021.02 | — | 0.87 | — | — | — | — | — | — | |
| MintNet2023.01 | — | 0.98 | 0.16 | 17.29 | — | — | — | — | |
| Ratio2025.09 | — | — | — | — | 23 | 2 | — | — | |
| RealNVPFlow Type=Discrete Flow2021.02 | — | 1.06 | — | — | — | — | — | — | |
| Reflection2025.09 | — | — | — | — | 40 | 8 | — | — | |
| Reflection2025.09 | — | — | — | — | — | — | 35.02 | 9.13 | |
| Residual FlowFlow Type=Discrete Flow2021.02 | — | 0.97 | — | — | — | — | — | — | |
| RNODEFlow Type=Continuous Flow (FFJORD)2021.02 | — | 0.97 | — | — | — | — | — | — | |
| SemiNormFlow Type=Continuous Flow (FFJORD)2021.02 | — | 0.96 | — | — | — | — | — | — | |
| VanillaFlow Type=Continuous Flow (FFJORD)2021.02 | — | 0.99 | — | — | — | — | — | — | |
| Vine2025.09 | — | — | — | — | 2 | 78 | — | — |