An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》
This implement is tiny, just for learning and validation, the model structure:
As shown in the figure above, the model architecture is very simple, the image is scaled to 64x64 size, in order to reduce the amount of calculation.
Hair and other details are still blurry, but this is mostly because the image used is a low-quality 64x64 size.
And, en, some background pixels exploded, perhaps due to recursive features.