{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T15:14:24Z","timestamp":1768317264373,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":25,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,7,29]],"date-time":"2017-07-29T00:00:00Z","timestamp":1501286400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,7,29]]},"DOI":"10.1145\/3105692.3105697","type":"proceedings-article","created":{"date-parts":[[2017,7,26]],"date-time":"2017-07-26T12:33:46Z","timestamp":1501072426000},"page":"1-5","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":14,"title":["Bringing impressionism to life with neural style transfer in\n            <i>Come Swim<\/i>"],"prefix":"10.1145","author":[{"given":"Bhautik","family":"Joshi","sequence":"first","affiliation":[{"name":"Adobe"}]},{"given":"Kristen","family":"Stewart","sequence":"additional","affiliation":[{"name":"Come Swim"}]},{"given":"David","family":"Shapiro","sequence":"additional","affiliation":[{"name":"Starlight Studios"}]}],"member":"320","published-online":{"date-parts":[[2017,7,29]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Mart\u00edn Abadi and Ashish Agarwal et al. 2016. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. CoRR abs\/1603.04467 (2016). http:\/\/arxiv.org\/abs\/1603.04467  Mart\u00edn Abadi and Ashish Agarwal et al. 2016. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. CoRR abs\/1603.04467 (2016). http:\/\/arxiv.org\/abs\/1603.04467"},{"key":"e_1_3_2_1_2_1","unstructured":"Anish Athalye. 2015. Neural Style. https:\/\/github.com\/anishathalye\/neural-style. (2015). commit 4bfb9efb1f0e955922889187727e33185e97d934.  Anish Athalye. 2015. Neural Style. https:\/\/github.com\/anishathalye\/neural-style. (2015). commit 4bfb9efb1f0e955922889187727e33185e97d934."},{"key":"e_1_3_2_1_3_1","unstructured":"Soheil Bahrampour Naveen Ramakrishnan Lukas Schott and Mohak Shah. 2015. Comparative Study of Caffe Neon Theano and Torch for Deep Learning. CoRR abs\/1511.06435 (2015). http:\/\/arxiv.org\/abs\/1511.06435  Soheil Bahrampour Naveen Ramakrishnan Lukas Schott and Mohak Shah. 2015. Comparative Study of Caffe Neon Theano and Torch for Deep Learning. CoRR abs\/1511.06435 (2015). http:\/\/arxiv.org\/abs\/1511.06435"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2461912.2461929"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/1276377.1276507"},{"key":"e_1_3_2_1_6_1","unstructured":"Alex J. Champandard. 2016. Semantic Style Transfer and Turning Two-Bit Doodles into Fine Artworks. CoRR abs\/1603.01768 (2016).  Alex J. Champandard. 2016. Semantic Style Transfer and Turning Two-Bit Doodles into Fine Artworks. CoRR abs\/1603.01768 (2016)."},{"key":"e_1_3_2_1_7_1","unstructured":"Vincent Dumoulin Jonathon Shlens and Manjunath Kudlur. 2016. A Learned Representation For Artistic Style. CoRR abs\/1610.07629 (2016). http:\/\/arxiv.org\/abs\/1610.07629  Vincent Dumoulin Jonathon Shlens and Manjunath Kudlur. 2016. A Learned Representation For Artistic Style. CoRR abs\/1610.07629 (2016). http:\/\/arxiv.org\/abs\/1610.07629"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/2897824.2925948"},{"key":"e_1_3_2_1_9_1","unstructured":"Leon A. Gatys Alexander S. Ecker and Matthias Bethge. 2015. A Neural Algorithm of Artistic Style. CoRR abs\/1508.06576 (2015). http:\/\/arxiv.org\/abs\/1508.06576  Leon A. Gatys Alexander S. Ecker and Matthias Bethge. 2015. A Neural Algorithm of Artistic Style. CoRR abs\/1508.06576 (2015). http:\/\/arxiv.org\/abs\/1508.06576"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/383259.383295"},{"key":"e_1_3_2_1_11_1","volume-title":"Caffe: Convolutional Architecture for Fast Feature Embedding. arXiv preprint arXiv:1408.5093","author":"Jia Yangqing","year":"2014"},{"key":"e_1_3_2_1_12_1","unstructured":"Yangqing Jia and Peter Vajda. 2016. Delivering real-time AI in the palm of your hand. https:\/\/code.facebook.com\/posts\/196146247499076\/delivering-real-time-ai-in-the-palm-of-your-hand\/. (2016).  Yangqing Jia and Peter Vajda. 2016. Delivering real-time AI in the palm of your hand. https:\/\/code.facebook.com\/posts\/196146247499076\/delivering-real-time-ai-in-the-palm-of-your-hand\/. (2016)."},{"key":"e_1_3_2_1_13_1","unstructured":"Justin Johnson. 2015. neural-style. https:\/\/github.com\/jcjohnson\/neural-style. (2015).  Justin Johnson. 2015. neural-style. https:\/\/github.com\/jcjohnson\/neural-style. (2015)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_43"},{"key":"e_1_3_2_1_15_1","unstructured":"Prisma Labs. 2016. Prisma AI. https:\/\/prisma-ai.com\/. (2016).  Prisma Labs. 2016. Prisma AI. https:\/\/prisma-ai.com\/. (2016)."},{"key":"e_1_3_2_1_16_1","unstructured":"F.Z. Liu. 2016. style-transfer. https:\/\/github.com\/fzliu\/style-transfer. (2016).  F.Z. Liu. 2016. style-transfer. https:\/\/github.com\/fzliu\/style-transfer. (2016)."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","unstructured":"Fujun Luan Sylvain Paris Eli Shechtman and Kavita Bala. 2017. Deep Photo Style Transfer. arXiv preprint arXiv:1703.07511 (2017).  Fujun Luan Sylvain Paris Eli Shechtman and Kavita Bala. 2017. Deep Photo Style Transfer. arXiv preprint arXiv:1703.07511 (2017).","DOI":"10.1109\/CVPR.2017.740"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","unstructured":"Manuel Ruder Alexey Dosovitskiy and Thomas Brox. 2016. Artistic Style Transfer for Videos. In GCPR.  Manuel Ruder Alexey Dosovitskiy and Thomas Brox. 2016. Artistic Style Transfer for Videos. In GCPR.","DOI":"10.1007\/978-3-319-45886-1_3"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"crossref","unstructured":"Xiaoyong Shen Aaron Hertzmann Jiaya Jia Sylvain Paris Brian Price Eli Shechtman and Ian Sachs. 2016. Automatic Portrait Segmentation for Image Stylization. Computer Graphics Forum (2016).  Xiaoyong Shen Aaron Hertzmann Jiaya Jia Sylvain Paris Brian Price Eli Shechtman and Ian Sachs. 2016. Automatic Portrait Segmentation for Image Stylization. Computer Graphics Forum (2016).","DOI":"10.1111\/cgf.12814"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/2601097.2601137"},{"key":"e_1_3_2_1_21_1","unstructured":"K. Simonyan and A. Zisserman. 2014. Very Deep Convolutional Networks for Large-Scale Image Recognition. CoRR abs\/1409.1556 (2014).  K. Simonyan and A. Zisserman. 2014. Very Deep Convolutional Networks for Large-Scale Image Recognition. CoRR abs\/1409.1556 (2014)."},{"key":"e_1_3_2_1_22_1","volume-title":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 1--9.","author":"Szegedy C."},{"key":"e_1_3_2_1_23_1","volume-title":"Texture Networks: Feed-forward Synthesis of Textures and Stylized Images. In International Conference on Machine Learning (ICML).","author":"Ulyanov D."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/1179352.1142018"},{"key":"e_1_3_2_1_25_1","unstructured":"Jun-Yan Zhu Taesung Park Phillip Isola and Alexei A Efros. 2017. Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks. arXiv preprint arXiv:1703.10593 (2017).  Jun-Yan Zhu Taesung Park Phillip Isola and Alexei A Efros. 2017. Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks. arXiv preprint arXiv:1703.10593 (2017)."}],"event":{"name":"DigiPro '17: The Digital Production Symposium","location":"Los Angeles California","acronym":"DigiPro '17","sponsor":["SIGGRAPH ACM Special Interest Group on Computer Graphics and Interactive Techniques"]},"container-title":["Proceedings of the ACM SIGGRAPH Digital Production Symposium"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3105692.3105697","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3105692.3105697","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T03:30:38Z","timestamp":1750217438000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3105692.3105697"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,7,29]]},"references-count":25,"alternative-id":["10.1145\/3105692.3105697","10.1145\/3105692"],"URL":"https:\/\/doi.org\/10.1145\/3105692.3105697","relation":{},"subject":[],"published":{"date-parts":[[2017,7,29]]},"assertion":[{"value":"2017-07-29","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}