{"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/a-learned-representation-for-artistic-style","title":"A Learned Representation For Artistic Style","arxiv_id":"1610.07629","date":"2016-10-24","proceeding":null,"authors":["Vincent Dumoulin","Jonathon Shlens","Manjunath Kudlur"],"abstract":"The diversity of painting styles represents a rich visual vocabulary for the\nconstruction of an image. The degree to which one may learn and parsimoniously\ncapture this visual vocabulary measures our understanding of the higher level\nfeatures of paintings, if not images in general. In this work we investigate\nthe construction of a single, scalable deep network that can parsimoniously\ncapture the artistic style of a diversity of paintings. We demonstrate that\nsuch a network generalizes across a diversity of artistic styles by reducing a\npainting to a point in an embedding space. Importantly, this model permits a\nuser to explore new painting styles by arbitrarily combining the styles learned\nfrom individual paintings. We hope that this work provides a useful step\ntowards building rich models of paintings and offers a window on to the\nstructure of the learned representation of artistic style.","url_abs":"http://arxiv.org/abs/1610.07629v5","url_pdf":"http://arxiv.org/pdf/1610.07629v5.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":"a-learned-representation-for-artistic-style","repo_url":"https://github.com/magenta/magenta/tree/main/magenta/models/image_stylization","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"tf","reach":null},{"paper_slug":"a-learned-representation-for-artistic-style","repo_url":"https://github.com/Adren98/EczemaApp","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"a-learned-representation-for-artistic-style","repo_url":"https://github.com/GenesisDCarmen/C_Reconocimiento_Facial","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"a-learned-representation-for-artistic-style","repo_url":"https://github.com/Xephyrum/Agriculturice","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"a-learned-representation-for-artistic-style","repo_url":"https://github.com/Xephyrum/CropsMD","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"a-learned-representation-for-artistic-style","repo_url":"https://github.com/chrismgeorge/Artistic_Additions_To_Style_Transfer","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"a-learned-representation-for-artistic-style","repo_url":"https://github.com/kewellcjj/pytorch-multiple-style-transfer","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"a-learned-representation-for-artistic-style","repo_url":"https://github.com/leoliao2008/TensorflowMobileOfficialExample","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"a-learned-representation-for-artistic-style","repo_url":"https://github.com/rrrepsac/tb_vc","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"a-learned-representation-for-artistic-style","repo_url":"https://github.com/ryanwongsa/Real-time-multi-style-transfer","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"a-learned-representation-for-artistic-style","repo_url":"https://github.com/seloufian/Faster-Style-Transfer","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"diversity","task_name":"Diversity"}],"methods":[{"method_slug":"adam","method_name":"Adam"},{"method_slug":"conditional-instance-normalization","method_name":"Conditional Instance Normalization"},{"method_slug":"convolution","method_name":"Convolution"}],"datasets_introduced":[],"methods_introduced":[{"slug":"conditional-instance-normalization","name":"Conditional Instance Normalization","full_name":"Conditional Instance Normalization"}],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=1610.07629","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}