Image Generation On Binarized Mnist
Metrics
nats
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | nats |
|---|---|
| made-masked-autoencoder-for-distribution | 86.64 |
| consistency-regularization-for-variational | 76.93 |
| efficient-vdvae-less-is-more | 79.09 |
| locally-masked-convolution-for-autoregressive | 77.58 |
| bayesian-flow-networks | 77.87 |
| pixel-recurrent-neural-networks | 81.30 |
| iterative-neural-autoregressive-distribution-1 | 84.68 |
| a-deep-and-tractable-density-estimator | 88.33 |
| pixel-recurrent-neural-networks | 79.20 |
| iterative-neural-autoregressive-distribution | 85.10 |