{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,22]],"date-time":"2026-05-22T14:06:26Z","timestamp":1779458786098,"version":"3.53.1"},"reference-count":17,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2026,5,22]],"date-time":"2026-05-22T00:00:00Z","timestamp":1779408000000},"content-version":"vor","delay-in-days":21,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science","doi-asserted-by":"publisher","award":["JP23K18514"],"award-info":[{"award-number":["JP23K18514"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science","doi-asserted-by":"publisher","award":["JP23K28204"],"award-info":[{"award-number":["JP23K28204"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Computer Animation &amp;amp; Virtual"],"published-print":{"date-parts":[[2026,5]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Creating realistic 3D human hair models typically requires substantial manual effort and expertise. To reduce this burden, many methods have been proposed for automatic hair modeling from images. In particular, multi\u2010view reconstruction approaches based on deep learning or optimization can produce high\u2010quality results, but they often require specialized capture setups, making them difficult for general users. Methods that use only a single image have also been explored for convenience; however, sketch\u2010based hair modeling\u2013despite the popularity of sketch input for other 3D objects\u2013remains relatively under\u2010studied. In this paper, we propose a method for reconstructing diverse hairstyles from sketches. Building on a high\u2010performance single\u2010image hair reconstruction pipeline, we extend its input modality to sketches. Given a sketch image and a hair\u2010region image, our method generates two intermediate representations: A strand map that encodes hair flow, computed by solving a diffusion equation, and a depth map estimated using ControlNet. We then reconstruct a 3D hair model from these maps using the existing reconstruction procedure. Experiments with multiple sketch types demonstrate that our approach can reproduce hair geometry consistent with the input sketches.<\/jats:p>","DOI":"10.1002\/cav.70133","type":"journal-article","created":{"date-parts":[[2026,5,22]],"date-time":"2026-05-22T13:20:37Z","timestamp":1779456037000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["3D Hair Reconstruction From Sketches Using Strand and Depth Maps"],"prefix":"10.1002","volume":"37","author":[{"given":"Ritsuki","family":"Ishiwata","sequence":"first","affiliation":[{"name":"Graduate School of Computer and Information Sciences Hosei University  Tokyo Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-9270-7335","authenticated-orcid":false,"given":"Syuhei","family":"Sato","sequence":"additional","affiliation":[{"name":"Graduate School of Computer and Information Sciences Hosei University  Tokyo Japan"},{"name":"Prometech CG Research  Tokyo Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shun","family":"Tatsukawa","sequence":"additional","affiliation":[{"name":"Graduate School of Computer and Information Sciences Hosei University  Tokyo Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,5,22]]},"reference":[{"key":"e_1_2_12_2_1","first-page":"1","volume-title":"SIGGRAPH Asia 2022 Conference Papers","author":"Kuang Z.","year":"2022"},{"key":"e_1_2_12_3_1","first-page":"19705","volume-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV)","author":"Sklyarova V.","year":"2023"},{"key":"e_1_2_12_4_1","first-page":"20601","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","author":"Takimoto Y.","year":"2024"},{"key":"e_1_2_12_5_1","first-page":"409","volume-title":"European Conference on Computer Vision (ECCV)","author":"Zakharov E.","year":"2024"},{"issue":"7","key":"e_1_2_12_6_1","doi-asserted-by":"crossref","first-page":"3250","DOI":"10.1109\/TVCG.2020.2968433","article-title":"Deepsketchhair: Deep Sketch\u2010Based 3d Hair Modeling","volume":"27","author":"Shen Y.","year":"2021","journal-title":"IEEE Transactions on Visualization and Computer Graphics"},{"key":"e_1_2_12_7_1","first-page":"1516","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","author":"Wu K.","year":"2022"},{"issue":"2","key":"e_1_2_12_8_1","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1016\/j.visinf.2019.06.001","article-title":"Hair\u2010Gan: Recovering 3d Hair Structure From a Single Image Using Generative Adversarial Networks","volume":"3","author":"Zhang M.","year":"2019","journal-title":"Visual Informatics"},{"key":"e_1_2_12_9_1","first-page":"1","volume-title":"SIGGRAPH Asia 2024 Conference Papers","author":"Zheng Y.","year":"2024"},{"key":"e_1_2_12_10_1","first-page":"249","volume-title":"European Conference on Computer Vision (ECCV)","author":"Zhou Y.","year":"2018"},{"key":"e_1_2_12_11_1","first-page":"12726","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","author":"Zheng Y.","year":"2023"},{"issue":"7","key":"e_1_2_12_12_1","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1145\/2483852.2483873","article-title":"Diffusion Curves: A Vector Representation for Smooth\u2010Shaded Images","volume":"56","author":"Orzan A.","year":"2013","journal-title":"Communications of the ACM"},{"key":"e_1_2_12_13_1","first-page":"3813","volume-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV)","author":"Zhang L.","year":"2023"},{"issue":"6","key":"e_1_2_12_14_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3478513.3480502","article-title":"Sketchhairsalon: Deep Sketch\u2010Based Hair Image Synthesis","volume":"40","author":"Xiao C.","year":"2021","journal-title":"ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH Asia 2021)"},{"key":"e_1_2_12_15_1","first-page":"1","volume-title":"Graphics Interface, GI","author":"Zhang Y.","year":"2022"},{"key":"e_1_2_12_16_1","doi-asserted-by":"crossref","unstructured":"P.Long Z.Zhao M.Ouyang et al. \u201cTangled: Generating 3d Hair Strands From Images With Arbitrary Styles and Viewpoints\u201d(2025) https:\/\/arxiv.org\/abs\/2502.06392.","DOI":"10.1145\/3746027.3755802"},{"issue":"4","key":"e_1_2_12_17_1","first-page":"125:1","article-title":"Single\u2010View Hair Modeling Using a Hairstyle Database","volume":"34","author":"Hu L.","year":"2015","journal-title":"ACM Transactions on Graphics"},{"key":"e_1_2_12_18_1","unstructured":"Blender Foundation \u201cBlender\u201d(2024) https:\/\/www.blender.org\/."}],"container-title":["Computer Animation and Virtual 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