Density Estimation on ImageNet 64x64
3.42Bits-per-dimensionCombiner-Axial
Evaluation results
| Method | Links | |
|---|---|---|
| Combiner-AxialArchitecture=30-layer Transformer, Data Augmentation=None2021.07 | 3.42 | |
| Routing TransformerData Augmentation=None2021.07 | 3.43 | |
| Sparse TransformerData Augmentation=None2021.07 | 3.44 | |
| Axial TransformerData Augmentation=None2021.07 | 3.44 | |
| SPNArchitecture Category=Models with autoregressive components, Dequantization=uniform noise injection2020.02 | 3.52 | |
| SPNData Augmentation=None2021.07 | 3.52 | |
| PixelCNNData Augmentation=None2021.07 | 3.57 | |
| ANFArchitecture Category=Flow-based models, Dequantization=variational dequantization2020.02 | 3.66 | |
| Flow++Architecture Category=Flow-based models, Dequantization=variational dequantization2020.02 | 3.69 | |
| MaCowArchitecture Category=Flow-based models, Dequantization=variational dequantization2020.02 | 3.69 | |
| PixelCNNArchitecture Category=Models with autoregressive components, Dequantization=uniform noise injection, Multiscale=true2020.02 | 3.7 | |
| Parallel MultiscaleData Augmentation=None2021.07 | 3.7 | |
| ResidualArchitecture Category=Flow-based models, Dequantization=uniform noise injection2020.02 | 3.76 | |
| GlowArchitecture Category=Flow-based models, Dequantization=uniform noise injection2020.02 | 3.81 | |
| GlowData Augmentation=None2021.07 | 3.81 | |
| Real NVPArchitecture Category=Flow-based models, Dequantization=uniform noise injection2020.02 | 3.98 |