{"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/bridging-unpaired-facial-photos-and-sketches","title":"Bridging Unpaired Facial Photos And Sketches By Line-drawings","arxiv_id":"2102.00635","date":"2021-02-01","proceeding":null,"authors":["Meimei Shang","Fei Gao","Xiang Li","Jingjie Zhu","Lingna Dai"],"abstract":"In this paper, we propose a novel method to learn face sketch synthesis models by using unpaired data. Our main idea is bridging the photo domain $\\mathcal{X}$ and the sketch domain $Y$ by using the line-drawing domain $\\mathcal{Z}$. Specially, we map both photos and sketches to line-drawings by using a neural style transfer method, i.e. $F: \\mathcal{X}/\\mathcal{Y} \\mapsto \\mathcal{Z}$. Consequently, we obtain \\textit{pseudo paired data} $(\\mathcal{Z}, \\mathcal{Y})$, and can learn the mapping $G:\\mathcal{Z} \\mapsto \\mathcal{Y}$ in a supervised learning manner. In the inference stage, given a facial photo, we can first transfer it to a line-drawing and then to a sketch by $G \\circ F$. Additionally, we propose a novel stroke loss for generating different types of strokes. Our method, termed sRender, accords well with human artists' rendering process. Experimental results demonstrate that sRender can generate multi-style sketches, and significantly outperforms existing unpaired image-to-image translation methods.","url_abs":"https://arxiv.org/abs/2102.00635v3","url_pdf":"https://arxiv.org/pdf/2102.00635v3.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":"bridging-unpaired-facial-photos-and-sketches","repo_url":"https://github.com/fei-hdu/sRender","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"face-sketch-synthesis","task_name":"Face Sketch Synthesis"},{"task_slug":"image-to-image-translation","task_name":"Image-to-Image Translation"},{"task_slug":"style-transfer","task_name":"Style Transfer"},{"task_slug":"translation","task_name":"Translation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}