{"url":"/method/lapstyle","slug":"lapstyle","name":"LapStyle","full_name":"Laplacian Pyramid Network","full_name_withheld":false,"description_markdown":"**LapStyle**, or **Laplacian Pyramid Network**, is a feed-forward style transfer method. It uses a [Drafting Network](https://paperswithcode.com/method/drafting-network) to transfer global style patterns in low-resolution, and adopts higher resolution [Revision Networks](https://paperswithcode.com/method/revision-network) to revise local styles in a pyramid manner according to outputs of multi-level Laplacian filtering of the content image. Higher resolution details can be generated by stacking Revision Networks with multiple Laplacian pyramid levels. The final stylized image is obtained by aggregating outputs of all pyramid levels.\r\n\r\nSpecifically, we first generate image pyramid $\\left\\(\\bar{x}\\_{c}, r\\_{c}\\right\\)$ from content image $x\\_{c}$ with the help of Laplacian filter. Rough low-resolution stylized image are then generated by the Drafting Network. Then the Revision Network generates stylized detail image in high resolution. Then the final stylized image is generated by aggregating the outputs pyramid. $L, C$ and $A$ in an image represent Laplacian, concatenate and aggregation operation separately.","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 Models","url":"/methods/category/style-transfer-models","pwc_aliases":[]},{"area":"Computer Vision","area_id":"computer-vision","collection":"Generative Models","url":"/methods/category/generative-models","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/lapstyle"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}