{"url":"/method/drafting-network","slug":"drafting-network","name":"Drafting Network","full_name":"Drafting Network","full_name_withheld":false,"description_markdown":"**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).\r\n\r\nThe 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.","description_state":"present","introduced_year":null,"introduced_by":{"title":"Drafting and Revision: Laplacian Pyramid Network for Fast High-Quality Artistic Style Transfer","paper":"/paper/drafting-and-revision-laplacian-pyramid","first_author":"Tianwei Lin","n_authors":9,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/drafting-and-revision-laplacian-pyramid"},"source":{"url":"https://arxiv.org/abs/2104.05376v2","title":"Drafting and Revision: Laplacian Pyramid Network for Fast High-Quality Artistic Style Transfer","url_on_a_paper_host":true},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"Computer Vision","area_id":"computer-vision","collection":"Style Transfer Modules","url":"/methods/category/style-transfer-modules","pwc_aliases":[]}],"n_papers_tagged":2,"archive_num_papers":2,"papers_newest_first":[{"paper":null,"title":"Arbitrary Style Transfer with Structure Enhancement by Combining the Global and Local Loss","date":"2022-07-23","arxiv_id":"2207.11438","n_code_links":0,"syntology":null},{"paper":"/paper/drafting-and-revision-laplacian-pyramid","title":"Drafting and Revision: Laplacian Pyramid Network for Fast High-Quality Artistic Style Transfer","date":"2021-04-12","arxiv_id":"2104.05376","n_code_links":2,"syntology":null}],"papers_shown":2,"tasks":[{"task":"/task/style-transfer","name":"Style Transfer","papers":2},{"task":"/task/classification-1","name":"Classification","papers":1}],"tasks_shown":2,"n_tasks":2,"usage_by_year":[{"year":"2021","papers":1},{"year":"2022","papers":1}],"row_source":"methods_table","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/drafting-network"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}