Drafting Network
Drafting Network
**Drafting Network** is a style transfer module designed to transfer global style patterns in low-resolution, since global patterns can be transferred easier in low resolution due to larger receptive field and less local details. To achieve single style transfer, earlier work trained an encoder-decoder module, where only the content image is used as input. To better combine the style feature and the content feature, the Drafting Network adopts the [AdaIN module](https://paperswithcode.com/method/adaptive-instance-normalization).

The architecture of Drafting Network is shown in the Figure, which includes an encoder, several AdaIN modules and a decoder. (1) The encoder is a pre-trained [VGG](https://paperswithcode.com/method/vgg)-19 network, which is fixed during training. Given $\bar{x}\_{c}$ and $\bar{x}\_{s}$, the VGG encoder extracts features in multiple granularity at 2_1, 3_1 and 4_1 layers. (2) Then, we apply feature modulation between the content and style feature using AdaIN modules after 2_1, 3_1 and 4_1 layers, respectively. (3) Finally, in each granularity of decoder, the corresponding feature from the AdaIN module is merged via a [skip-connection](https://paperswithcode.com/methods/category/skip-connections). Here, skip-connections after AdaIN modules in both low and high levels are leveraged to help to reserve content structure, especially for low-resolution image.
Drafting and Revision: Laplacian Pyramid Network for Fast High-Quality Artistic Style Transfer
https://paperswithcode.com/paper/drafting-and-revision-laplacian-pyramid
Drafting and Revision: Laplacian Pyramid Network for Fast High-Quality Artistic Style Transfer