{"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/attribute-guided-sketch-generation","title":"Attribute-Guided Sketch Generation","arxiv_id":"1901.09774","date":"2019-01-28","proceeding":null,"authors":["Hao Tang","Xinya Chen","Wei Wang","Dan Xu","Jason J. Corso","Nicu Sebe","Yan Yan"],"abstract":"Facial attributes are important since they provide a detailed description and\ndetermine the visual appearance of human faces. In this paper, we aim at\nconverting a face image to a sketch while simultaneously generating facial\nattributes. To this end, we propose a novel Attribute-Guided Sketch Generative\nAdversarial Network (ASGAN) which is an end-to-end framework and contains two\npairs of generators and discriminators, one of which is used to generate faces\nwith attributes while the other one is employed for image-to-sketch\ntranslation. The two generators form a W-shaped network (W-net) and they are\ntrained jointly with a weight-sharing constraint. Additionally, we also propose\ntwo novel discriminators, the residual one focusing on attribute generation and\nthe triplex one helping to generate realistic looking sketches. To validate our\nmodel, we have created a new large dataset with 8,804 images, named the\nAttribute Face Photo & Sketch (AFPS) dataset which is the first dataset\ncontaining attributes associated to face sketch images. The experimental\nresults demonstrate that the proposed network (i) generates more\nphoto-realistic faces with sharper facial attributes than baselines and (ii)\nhas good generalization capability on different generative tasks.","url_abs":"http://arxiv.org/abs/1901.09774v2","url_pdf":"http://arxiv.org/pdf/1901.09774v2.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":"attribute-guided-sketch-generation","repo_url":"https://github.com/Ha0Tang/ASGAN","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}}],"tasks":[{"task_slug":"attribute","task_name":"Attribute"},{"task_slug":null,"task_name":"Generative Adversarial Network"},{"task_slug":"translation","task_name":"Translation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}