{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T01:13:15Z","timestamp":1783559595314,"version":"3.55.0"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032222602","type":"print"},{"value":"9783032222619","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":[[2026]]},"DOI":"10.1007\/978-3-032-22261-9_4","type":"book-chapter","created":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T00:15:11Z","timestamp":1783556111000},"page":"41-52","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Line Drawing Abstraction Based on\u00a0Line Importance Evaluation"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-8874-371X","authenticated-orcid":false,"given":"Shilong","family":"Deng","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0868-5353","authenticated-orcid":false,"given":"Xueting","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1519-750X","authenticated-orcid":false,"given":"Chengze","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1503-0240","authenticated-orcid":false,"given":"Ping","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2124-9799","authenticated-orcid":false,"given":"Zhenkun","family":"Wen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0399-9089","authenticated-orcid":false,"given":"Huisi","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,6,2]]},"reference":[{"issue":"6","key":"4_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3550454.3555504","volume":"41","author":"A Ashtari","year":"2022","unstructured":"Ashtari, A., Seo, C.W., Kang, C., Cha, S., Noh, J.: Reference based sketch extraction via attention mechanism. ACM Trans. Graph. (TOG) 41(6), 1\u201316 (2022)","journal-title":"ACM Trans. Graph. (TOG)"},{"issue":"3","key":"4_CR2","doi-asserted-by":"publisher","first-page":"344","DOI":"10.1016\/S0734-189X(86)80047-0","volume":"34","author":"G Borgefors","year":"1986","unstructured":"Borgefors, G.: Distance transformations in digital images. Comput. Vis. Graph. Image Process. 34(3), 344\u2013371 (1986)","journal-title":"Comput. Vis. Graph. Image Process."},{"key":"4_CR3","unstructured":"Heusel, M., Ramsauer, H., Unterthiner, T., Nessler, B., Hochreiter, S.: Gans trained by a two time-scale update rule converge to a local nash equilibrium. In: Advances in Neural Information Processing Systems, vol. 30 (2017)"},{"key":"4_CR4","unstructured":"Hu, E.J., et al.: Lora: low-rank adaptation of large language models. arXiv preprint arXiv:2106.09685 (2021)"},{"key":"4_CR5","doi-asserted-by":"crossref","unstructured":"Hu, J., Shen, L., Sun, G.: Squeeze-and-excitation networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 7132\u20137141 (2018)","DOI":"10.1109\/CVPR.2018.00745"},{"issue":"4","key":"4_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3450626.3459833","volume":"40","author":"H Mo","year":"2021","unstructured":"Mo, H., Simo-Serra, E., Gao, C., Zou, C., Wang, R.: General virtual sketching framework for vector line art. ACM Trans. Graph. (TOG) 40(4), 1\u201314 (2021)","journal-title":"ACM Trans. Graph. (TOG)"},{"issue":"6","key":"4_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2070781.2024219","volume":"30","author":"L Nan","year":"2011","unstructured":"Nan, L., et al.: Conjoining gestalt rules for abstraction of architectural drawings. ACM Trans. Graph. (TOG) 30(6), 1\u201310 (2011)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"4_CR8","unstructured":"Qu, Z., Xiang, T., Song, Y.Z.: Sketchdreamer: interactive text-augmented creative sketch ideation. arXiv preprint arXiv:2308.14191 (2023)"},{"key":"4_CR9","unstructured":"Radford, A., et\u00a0al.: Learning transferable visual models from natural language supervision. In: International Conference on Machine Learning, pp. 8748\u20138763. PMLR (2021)"},{"key":"4_CR10","doi-asserted-by":"crossref","unstructured":"Rombach, R., Blattmann, A., Lorenz, D., Esser, P., Ommer, B.: High-resolution image synthesis with latent diffusion models (2021)","DOI":"10.1109\/CVPR52688.2022.01042"},{"issue":"1","key":"4_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3132703","volume":"37","author":"E Simo-Serra","year":"2018","unstructured":"Simo-Serra, E., Iizuka, S., Ishikawa, H.: Mastering sketching: adversarial augmentation for structured prediction. ACM Trans. Graph. (TOG) 37(1), 1\u201313 (2018)","journal-title":"ACM Trans. Graph. (TOG)"},{"issue":"4","key":"4_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2897824.2925972","volume":"35","author":"E Simo-Serra","year":"2016","unstructured":"Simo-Serra, E., Iizuka, S., Sasaki, K., Ishikawa, H.: Learning to simplify: fully convolutional networks for rough sketch cleanup. ACM Trans. Graph. (TOG) 35(4), 1\u201311 (2016)","journal-title":"ACM Trans. Graph. (TOG)"},{"issue":"4","key":"4_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3197517.3201370","volume":"37","author":"E Simo-Serra","year":"2018","unstructured":"Simo-Serra, E., Iizuka, S., Ishikawa, H.: Real-time data-driven interactive rough sketch inking. ACM Trans. Graph. (TOG) 37(4), 1\u201314 (2018)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"4_CR14","unstructured":"Team, P.U.: Paints-undo github page (2024). https:\/\/github.com\/lllyasviel\/Paints-UNDO"},{"key":"4_CR15","doi-asserted-by":"crossref","unstructured":"Vinker, Y., Alaluf, Y., Cohen-Or, D., Shamir, A.: Clipascene: scene sketching with different types and levels of abstraction. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 4146\u20134156 (2023)","DOI":"10.1109\/ICCV51070.2023.00383"},{"issue":"4","key":"4_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3528223.3530068","volume":"41","author":"Y Vinker","year":"2022","unstructured":"Vinker, Y., et al.: Clipasso: semantically-aware object sketching. ACM Trans. Graph. (TOG) 41(4), 1\u201311 (2022)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"4_CR17","doi-asserted-by":"crossref","first-page":"15869","DOI":"10.52202\/075280-0698","volume":"36","author":"X Xing","year":"2023","unstructured":"Xing, X., Wang, C., Zhou, H., Zhang, J., Yu, Q., Xu, D.: Diffsketcher: text guided vector sketch synthesis through latent diffusion models. Adv. Neural. Inf. Process. Syst. 36, 15869\u201315889 (2023)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"issue":"1","key":"4_CR18","doi-asserted-by":"publisher","first-page":"178","DOI":"10.1109\/TVCG.2019.2930512","volume":"27","author":"X Xu","year":"2019","unstructured":"Xu, X., et al.: Perceptual-aware sketch simplification based on integrated vgg layers. IEEE Trans. Visual Comput. Graphics 27(1), 178\u2013189 (2019)","journal-title":"IEEE Trans. Visual Comput. Graphics"},{"issue":"4","key":"4_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3658197","volume":"43","author":"C Yan","year":"2024","unstructured":"Yan, C., Li, Y., Aneja, D., Fisher, M., Simo-Serra, E., Gingold, Y.: Deep sketch vectorization via implicit surface extraction. ACM Trans. Graph. (TOG) 43(4), 1\u201313 (2024)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"4_CR20","unstructured":"Yuno779: Anythingv5. Civitai website (2024). https:\/\/civitai.com\/models\/9409\/or-anything-xl"},{"key":"4_CR21","doi-asserted-by":"crossref","unstructured":"Zhang, L., Rao, A., Agrawala, M.: Adding conditional control to text-to-image diffusion models (2023)","DOI":"10.1109\/ICCV51070.2023.00355"},{"key":"4_CR22","doi-asserted-by":"crossref","unstructured":"Zhang, R., Isola, P., Efros, A.A., Shechtman, E., Wang, O.: The unreasonable effectiveness of deep features as a perceptual metric. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 586\u2013595 (2018)","DOI":"10.1109\/CVPR.2018.00068"},{"key":"4_CR23","doi-asserted-by":"crossref","unstructured":"Zhang, Z., Liu, X., Li, C., Wu, H., Wen, Z.: Vectorizing line drawings of arbitrary thickness via boundary-based topology reconstruction. In: Computer Graphics Forum. vol.\u00a041, pp. 433\u2013445. Wiley Online Library (2022)","DOI":"10.1111\/cgf.14485"}],"container-title":["Lecture Notes in Computer Science","Advances in Computer Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-22261-9_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T00:15:14Z","timestamp":1783556114000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-22261-9_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032222602","9783032222619"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-22261-9_4","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"2 June 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"CGI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Computer Graphics International Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hong Kong","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 July 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 July 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"42","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cgi2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.cgs-network.org\/cgi25","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}