{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T09:17:18Z","timestamp":1783070238395,"version":"3.54.6"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031915710","type":"print"},{"value":"9783031915727","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-91572-7_1","type":"book-chapter","created":{"date-parts":[[2025,5,23]],"date-time":"2025-05-23T04:14:55Z","timestamp":1747973695000},"page":"1-16","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Self-supervised Disentangled Representation Learning of\u00a0Artistic Style Through Neural Style Transfer"],"prefix":"10.1007","author":[{"given":"Dan","family":"Ruta","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gemma","family":"Canet Tarr\u00e9s","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexander","family":"Black","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrew","family":"Gilbert","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John","family":"Collomosse","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,5,12]]},"reference":[{"key":"1_CR1","unstructured":"Chen, H., et al.: Artistic style transfer with internal-external learning and contrastive learning. In: Beygelzimer, A., Dauphin, Y., Liang, P., Vaughan, J.W. (eds.) Neural Information Processing Systems (2021)"},{"key":"1_CR2","unstructured":"Chen, T., Kornblith, S., Norouzi, M., Hinton, G.: A simple framework for contrastive learning of visual representations. arXiv preprint arXiv:2002.05709 (2020)"},{"key":"1_CR3","doi-asserted-by":"crossref","unstructured":"Collomosse, J., Bui, T., Wilber, M., Fang, C., Jin, H.: Sketching with style: Visual search with sketches and aesthetic context. In: Proceedings of the ICCV (2017)","DOI":"10.1109\/ICCV.2017.290"},{"key":"1_CR4","unstructured":"Dosovitskiy, A., et al.: An image is worth 16x16 words: Transformers for image recognition at scale. arXiv preprint arXiv:2010.11929 (2020)"},{"key":"1_CR5","doi-asserted-by":"crossref","unstructured":"Gatys, L.A., Ecker, A.S., Bethge, M.: Image style transfer using convolutional neural networks. In: Proceedings of the CVPR, pp. 2414\u20132423 (2016)","DOI":"10.1109\/CVPR.2016.265"},{"key":"1_CR6","doi-asserted-by":"publisher","unstructured":"Ham, C., Tarres, G.C., Bui, T., Hays, J., L., Z., Collomosse, J.: Cogs: controllable generation and search from sketch and style (2022). https:\/\/doi.org\/10.48550\/ARXIV.2203.09554. https:\/\/arxiv.org\/abs\/2203.09554","DOI":"10.48550\/ARXIV.2203.09554"},{"key":"1_CR7","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. CoRR abs\/1512.03385 (2015). http:\/\/arxiv.org\/abs\/1512.03385"},{"key":"1_CR8","doi-asserted-by":"crossref","unstructured":"Huang, X., Belongie, S.J.: Arbitrary style transfer in real-time with adaptive instance normalization (2017). http:\/\/arxiv.org\/abs\/1703.06868","DOI":"10.1109\/ICCV.2017.167"},{"key":"1_CR9","doi-asserted-by":"crossref","unstructured":"Huang, X., Liu, M.Y., Belongie, S., Kautz, J.: Multimodal unsupervised image-to-image translation. In: ECCV (2018)","DOI":"10.1007\/978-3-030-01219-9_11"},{"key":"1_CR10","doi-asserted-by":"publisher","unstructured":"Johnson, J., Alahi, A., Fei-Fei, L.: Perceptual losses for real-time style transfer and super-resolution (2016). https:\/\/doi.org\/10.48550\/ARXIV.1603.08155, https:\/\/arxiv.org\/abs\/1603.08155.","DOI":"10.48550\/ARXIV.1603.08155"},{"key":"1_CR11","unstructured":"Kalischek, N., Wegner, J.D., Schindler, K.: In the light of feature distributions: moment matching for neural style transfer. CoRR abs\/2103.07208 (2021). https:\/\/arxiv.org\/abs\/2103.07208"},{"key":"1_CR12","unstructured":"Karayev, S., et al.: Recognizing image style. In: Proceedings of the BMVC (2014)"},{"key":"1_CR13","doi-asserted-by":"publisher","unstructured":"Li, C., Wand, M.: Precomputed real-time texture synthesis with markovian generative adversarial networks (2016). https:\/\/doi.org\/10.48550\/ARXIV.1604.04382, https:\/\/arxiv.org\/abs\/1604.04382","DOI":"10.48550\/ARXIV.1604.04382"},{"key":"1_CR14","unstructured":"Li, Y., Fang, C., Yang, J., Wang, Z., Lu, X., Yang, M.: Universal style transfer via feature transforms. CoRR abs\/1705.08086 (2017). http:\/\/arxiv.org\/abs\/1705.08086"},{"key":"1_CR15","unstructured":"Luo, X., Han, Z., Yang, L., Zhang, L.: Consistent style transfer. CoRR abs\/2201.02233 (2022). https:\/\/arxiv.org\/abs\/2201.02233"},{"key":"1_CR16","unstructured":"P., D.Y., L., K.H.: Arbitrary style transfer with style-attentional networks. CoRR (2018)"},{"key":"1_CR17","unstructured":"Park, T., et al.: Swapping autoencoder for deep image manipulation. In: Neural Information Processing Systems (2020)"},{"key":"1_CR18","unstructured":"Radford, A., et al.: Learning transferable visual models from natural language supervision. arXiv preprint arXiv:2103.00020 (2021)"},{"key":"1_CR19","doi-asserted-by":"publisher","unstructured":"Ruta, D., et al.: Stylebabel: Artistic style tagging and captioning (2022). https:\/\/doi.org\/10.48550\/ARXIV.2203.05321, https:\/\/arxiv.org\/abs\/2203.05321","DOI":"10.48550\/ARXIV.2203.05321"},{"key":"1_CR20","unstructured":"Ruta, D., Gilbert, A., Collomosse, J., Shechtman, E., Kolkin, N.: Neat: Neural artistic tracing for beautiful style transfer (2023)"},{"key":"1_CR21","doi-asserted-by":"publisher","unstructured":"Ruta, D., Gilbert, A., Motiian, S., Faieta, B., Lin, Z., Collomosse, J.: Hypernst: hyper-networks for neural style transfer (2022). https:\/\/doi.org\/10.48550\/ARXIV.2208.04807, https:\/\/arxiv.org\/abs\/2208.04807","DOI":"10.48550\/ARXIV.2208.04807"},{"key":"1_CR22","doi-asserted-by":"crossref","unstructured":"Ruta, D., et al.: Aladin: All layer adaptive instance normalization for fine-grained style similarity. In: Proceedings of the ICCV (2021)","DOI":"10.1109\/ICCV48922.2021.01171"},{"key":"1_CR23","doi-asserted-by":"crossref","unstructured":"Sheng, L., Lin, Z., Shao, J., Wang, X.: Avatar-net: multi-scale zero-shot style transfer by feature decoration. In: Computer Vision and Pattern Recognition (CVPR) 2018 IEEE Conference on (2018)","DOI":"10.1109\/CVPR.2018.00860"},{"key":"1_CR24","unstructured":"Tarr\u00e9s, G.C., Ruta, D., Bui, T., Collomosse, J.: Parasol: Parametric style control for diffusion image synthesis (2023)"},{"key":"1_CR25","doi-asserted-by":"publisher","unstructured":"Ulyanov, D., Lebedev, V., Vedaldi, A., Lempitsky, V.: Texture networks: Feed-forward synthesis of textures and stylized images (2016). https:\/\/doi.org\/10.48550\/ARXIV.1603.03417, https:\/\/arxiv.org\/abs\/1603.03417","DOI":"10.48550\/ARXIV.1603.03417"},{"key":"1_CR26","doi-asserted-by":"crossref","unstructured":"Wilber, M.J., Fang, C., Jin, H., Hertzmann, A., Collomosse, J., Belongie, S.: Bam! the behance artistic media dataset for recognition beyond photography. In: Proceedings of the ICCV (2017)","DOI":"10.1109\/ICCV.2017.136"},{"key":"1_CR27","doi-asserted-by":"crossref","unstructured":"Zhang, Y., et al.: Domain enhanced arbitrary image style transfer via contrastive learning. In: ACM SIGGRAPH (2022)","DOI":"10.1145\/3528233.3530736"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2024 Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-91572-7_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T08:33:40Z","timestamp":1783067620000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-91572-7_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031915710","9783031915727"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-91572-7_1","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"12 May 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Milan","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eccv2024.ecva.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}