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StyleGAN: Difference between revisions
→Architecture
(Created page with "StyleGAN CVPR 2019<br> [https://arxiv.org/abs/1812.04948 2018 Paper (arxiv)] [http://openaccess.thecvf.com/content_CVPR_2019/html/Karras_A_Style-Based_Generator_Architecture_f...") |
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==Architecture== | ==Architecture== | ||
[[File:StyleGAN architecture.PNG | thumb | 300px | Architecture of StyleGAN from their paper]] | [[File:StyleGAN architecture.PNG | thumb | 300px | Architecture of StyleGAN from their paper]] | ||
StyleGAN consists of a mapping network <math>f</math> and a synthesis network <math>g</math>. | |||
===Mapping Network=== | |||
The mapping network <math>f</math> consists of 8 fully connected layers with leaky relu activations at each layer. | |||
===Synthesis Network=== | |||
The synthesis network is based on progressive growing (ProGAN). | |||
It consists of 9 convolution blocks, one for each resolution from <math>4^2</math> to <math>1024^2</math>.<br> | |||
Each block consists of upsample, 3x3 convolution, AdaIN, 3x3 convolution, AdaIN. | |||
After each convolution layer, a gaussian noise with learned variance is added to the feature maps. | |||
====Adaptive Instance Normalization==== | |||
==Results== | ==Results== | ||