{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,17]],"date-time":"2026-01-17T02:46:45Z","timestamp":1768618005034,"version":"3.49.0"},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"23","license":[{"start":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T00:00:00Z","timestamp":1705017600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T00:00:00Z","timestamp":1705017600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"DOI":"10.1007\/s11042-023-16582-5","type":"journal-article","created":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T06:01:51Z","timestamp":1705039311000},"page":"62497-62517","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Arbitrary style transfer system with split-and-transform scheme"],"prefix":"10.1007","volume":"83","author":[{"given":"Ching-Ting","family":"Tu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1539-233X","authenticated-orcid":false,"given":"Hwei Jen","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yihjia","family":"Tsai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zi-Jun","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,1,12]]},"reference":[{"key":"16582_CR1","doi-asserted-by":"crossref","unstructured":"Wang TC, Liu MY, Zhu JY, Tao A, Kautz J, Catanzaro B (Aug., 2018) High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs. arXiv:1711.11585 [cs.CV]","DOI":"10.1109\/CVPR.2018.00917"},{"key":"16582_CR2","unstructured":"Miyato T, Koyama M (Aug., 2018) CGANs with Projection Discriminator. arXiv:1802.05637 [cs.LG]"},{"key":"16582_CR3","unstructured":"Zhu JY, Zhang R, Pathak D, Darrell T, Efros AA, Wang O, Shechtman E (Oct., 2018) Toward Multimodal Image-to-Image Translation. arXiv:1711.11586 [cs.CV]"},{"key":"16582_CR4","doi-asserted-by":"crossref","unstructured":"Zhu JY, Park T, Isola P, Efros AA (Nov., 2018) Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks. arXiv:1703.10593 [cs.CV]","DOI":"10.1109\/ICCV.2017.244"},{"key":"16582_CR5","doi-asserted-by":"crossref","unstructured":"Isola P, Zhu JY, Zhou T, Efros AA (Nov., 2018) Image-to-Image Translation with Conditional Adversarial Networks. arXiv:1611.07004 [cs.CV]","DOI":"10.1109\/CVPR.2017.632"},{"key":"16582_CR6","doi-asserted-by":"crossref","unstructured":"Park T, Liu MY, Wang TC, Zhu JY (Nov., 2019) Semantic Image Synthesis with Spatially-Adaptive Normalization. arXiv:1903.07291 [cs.CV]","DOI":"10.1109\/CVPR.2019.00244"},{"key":"16582_CR7","doi-asserted-by":"crossref","unstructured":"Kotovenko D, Sanakoyeu A, Ma P, Lang S, Ommer B (Mar., 2020) A Content Transformation Block for Image Style Transfer. arXiv:2003.08407 [cs.CV]","DOI":"10.1109\/CVPR.2019.01027"},{"key":"16582_CR8","doi-asserted-by":"crossref","unstructured":"Gatys LA, Ecker AS, Bethge M (Sept., 2015) A Neural Algorithm of Artistic Style. arXiv:1508.06576 [cs.CV]","DOI":"10.1167\/16.12.326"},{"key":"16582_CR9","doi-asserted-by":"crossref","unstructured":"Johnson J, Alahi A, Li FF (Mar., 2016) Perceptual Losses for Real-Time Style Transfer and Super-Resolution. arXiv:1603.08155 [cs.CV]","DOI":"10.1007\/978-3-319-46475-6_43"},{"key":"16582_CR10","unstructured":"Li Y, Fang C, Yang J, Wang Z, Lu X, Yang MH (Nov., 2017) Universal Style Transfer via Feature Transforms. arXiv:1705.08086 [cs.CV]"},{"key":"16582_CR11","unstructured":"Xu Z, Wilber M, Fang C, Hertzmann A, Jin H (May, 2018) Learning from Multi-Domain Artistic Images for Arbitrary Style Transfer. arXiv:1805.09987 [cs.CV]"},{"key":"16582_CR12","doi-asserted-by":"crossref","unstructured":"Sheng L, Lin Z, Shao J, Wang X (May, 2018) Avatar-Net Multi-Scale Zero-Shot Style Transfer by Feature Decoration. arXiv:1805.03857 [cs.CV]","DOI":"10.1109\/CVPR.2018.00860"},{"key":"16582_CR13","unstructured":"Ulyanov D, Lebedev V, Vedaldi A, Lempitsky VS (2016) Texture networks: Feed-forward synthesis of textures and stylized images. In: Proceedings of the 33nd International Conference on Machine Learning, June 19\u201324, pp. 1349\u20131357"},{"key":"16582_CR14","doi-asserted-by":"crossref","unstructured":"Huang X, Belongie S (2017) Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization. arXiv:1703.06868v2\u00a0[cs.CV]","DOI":"10.1109\/ICCV.2017.167"},{"key":"16582_CR15","unstructured":"Ulyanov D, Vedaldi A, Lempitsky V (2016)Instance Normalization: The Missing Ingredient for Fast Stylization. arXiv:1607.08022v3\u00a0[cs.CV]"},{"key":"16582_CR16","doi-asserted-by":"crossref","unstructured":"Ulyanov D, Vedaldi A, Lempitsky V (2017) Improved texture networks: Maximizing quality and diversity in feed-forward stylization and texture synthesis. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 6924\u20136932","DOI":"10.1109\/CVPR.2017.437"},{"key":"16582_CR17","doi-asserted-by":"crossref","unstructured":"Li X, Liu S, Kautz J, Yang MH (Aug., 2018) Learning Linear Transformations for Fast Arbitrary Style Transfer. arXiv:1808.04537 [cs.CV]","DOI":"10.1109\/CVPR.2019.00393"},{"key":"16582_CR18","doi-asserted-by":"crossref","unstructured":"Park DY, Lee KH (May, 2019) Arbitrary Style Transfer with Style-Attentional Networks. arXiv: 1812.02342 [cs.CV]","DOI":"10.1109\/CVPR.2019.00603"},{"key":"16582_CR19","unstructured":"An J, Xiong H, Luo J, Huan J, Ma J (Jul., 2019) Fast Universal Style Transfer for Artistic and Photorealistic Rendering. arXiv:1907.03118v1 [cs.CV]"},{"key":"16582_CR20","doi-asserted-by":"crossref","unstructured":"Nguyen AD, Choi S, Kim W, Lee S (May, 2019) A Simple Way of Multimodal and Arbitrary Style Transfer. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","DOI":"10.1109\/ICASSP.2019.8683493"},{"key":"16582_CR21","doi-asserted-by":"crossref","unstructured":"Wang Z, Zhao L, Chen H, Qiu L, Mo Q, Lin S, Xing W, Lu D (Nov., 2019) Diversified Arbitrary Style Transfer via Deep Feature Perturbation. arXiv:1909.08223 [cs.CV]","DOI":"10.1109\/CVPR42600.2020.00781"},{"key":"16582_CR22","doi-asserted-by":"crossref","unstructured":"Zhang Y, Fang C, Wang Y, Wang Z, Lin Z, Fu Y, Yang J (Jan., 2020) Multimodal Style Transfer via Graph Cuts. arXiv:1904.04443 [cs.CV]","DOI":"10.1109\/ICCV.2019.00604"},{"key":"16582_CR23","doi-asserted-by":"crossref","unstructured":"An J, Xiong H, Huan J, Luo J (2020) Ultrafast Photorealistic Style Transfer via Neural Architecture Search. arXiv:1912.02398v2\u00a0[cs.CV]","DOI":"10.1609\/aaai.v34i07.6614"},{"key":"16582_CR24","unstructured":"Dumoulin V, Shlens J, Kudlur M (2017) A learned representation for artistic style. arXiv:1610.07629v5\u00a0[cs.CV]"},{"key":"16582_CR25","doi-asserted-by":"crossref","unstructured":"Chen D, Yuan L, Liao J, Yu N, Hua G (Mar., 2017) Stylebank: An explicit representation for neural image style transfer. CVPR","DOI":"10.1109\/CVPR.2017.296"},{"key":"16582_CR26","doi-asserted-by":"publisher","unstructured":"Zhang H, Dana K Multi-style generative network for real-time transfer. arXiv:1703.06953v2\u00a0[cs.CV].\u00a0https:\/\/doi.org\/10.48550\/arXiv.1703.06953","DOI":"10.48550\/arXiv.1703.06953"},{"key":"16582_CR27","unstructured":"JinY, Yang Y, Feng Z, Ye J, Yu Y, Song M (Oct., 2018) Neural Style Transfer: A Review. arXiv:1705.04058 [cs.CV]"},{"key":"16582_CR28","doi-asserted-by":"crossref","unstructured":"Simonyan K, Zisserman A (April, 2015) Very Deep Convolutional Networks for Large-Scale Image Recognition. arXiv:1409.1556v6 [cs.CV]","DOI":"10.1109\/ICCV.2015.314"},{"key":"16582_CR29","doi-asserted-by":"crossref","unstructured":"Deng J, Dong W, Socher R, Li L-J, Li K, Li F-F (2009) Imagenet: A Large-Scale Hierarchical Image Database. In: CVPR","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"16582_CR30","doi-asserted-by":"crossref","unstructured":"Lin TY, Maire M, Belongie S, Bourdev L, Girshick R, Hays J, Perona P, Ramanan D, Zitnick CL, Dollr P (2014) Microsoft coco: Common objects in context. In: ECCV.","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"16582_CR31","unstructured":"Nichol K (2016) Painter by numbers, wikiart. https:\/\/www.kaggle.com\/c\/painter-by-numbers"},{"key":"16582_CR32","doi-asserted-by":"publisher","first-page":"202","DOI":"10.1016\/j.procs.2022.12.023","volume":"215","author":"B Shaha","year":"2022","unstructured":"Shaha B, Bhavsarb H (2022) Time Complexity in Deep Learning Models. Procedia Computer Science 215:202\u2013210","journal-title":"Procedia Computer Science"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-16582-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-023-16582-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-16582-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,7]],"date-time":"2024-11-07T22:59:19Z","timestamp":1731020359000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-023-16582-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,12]]},"references-count":32,"journal-issue":{"issue":"23","published-online":{"date-parts":[[2024,7]]}},"alternative-id":["16582"],"URL":"https:\/\/doi.org\/10.1007\/s11042-023-16582-5","relation":{},"ISSN":["1573-7721"],"issn-type":[{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,12]]},"assertion":[{"value":"27 April 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 July 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 August 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 January 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"\u201cNot applicable\u201d.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval"}},{"value":"\u201cNot applicable\u201d.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to participate"}},{"value":"\u201cNot applicable\u201d.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}}]}}