StyleGAN: Difference between revisions
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The goal of the mapping network is to generate a latent vector <math>w</math>.<br> | The goal of the mapping network is to generate a latent vector <math>w</math>.<br> | ||
This latent <math>w</math> is used by the synthesis network as input the each AdaIN block.<br> | This latent <math>w</math> is used by the synthesis network as input the each AdaIN block.<br> | ||
Before each AdaIN block, a learned affine transformation converts <math>w</math> into a "style".<br> | Before each AdaIN block, a learned affine transformation converts <math>w</math> into a "style" in the form of mean and standard deviation.<br> | ||
The mapping network <math>f</math> consists of 8 fully connected layers with leaky relu activations at each layer.<br> | The mapping network <math>f</math> consists of 8 fully connected layers with leaky relu activations at each layer.<br> | ||
The input and output of this vector is an array of size 512.<br> | The input and output of this vector is an array of size 512.<br> | ||