{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/learning-typographic-style","title":"Learning Typographic Style","arxiv_id":"1603.04000","date":"2016-03-13","proceeding":null,"authors":["Shumeet Baluja"],"abstract":"Typography is a ubiquitous art form that affects our understanding,\nperception, and trust in what we read. Thousands of different font-faces have\nbeen created with enormous variations in the characters. In this paper, we\nlearn the style of a font by analyzing a small subset of only four letters.\nFrom these four letters, we learn two tasks. The first is a discrimination\ntask: given the four letters and a new candidate letter, does the new letter\nbelong to the same font? Second, given the four basis letters, can we generate\nall of the other letters with the same characteristics as those in the basis\nset? We use deep neural networks to address both tasks, quantitatively and\nqualitatively measure the results in a variety of novel manners, and present a\nthorough investigation of the weaknesses and strengths of the approach.","url_abs":"http://arxiv.org/abs/1603.04000v1","url_pdf":"http://arxiv.org/pdf/1603.04000v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"learning-typographic-style","repo_url":"https://github.com/kaonashi-tyc/Rewrite","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"font-generation","task_name":"Font Generation"},{"task_slug":"font-recognition","task_name":"Font Recognition"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}