{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,11]],"date-time":"2025-06-11T06:04:24Z","timestamp":1749621864319,"version":"3.40.3"},"publisher-location":"Cham","reference-count":35,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031500718"},{"type":"electronic","value":"9783031500725"}],"license":[{"start":{"date-parts":[[2023,12,29]],"date-time":"2023-12-29T00:00:00Z","timestamp":1703808000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,12,29]],"date-time":"2023-12-29T00:00:00Z","timestamp":1703808000000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-50072-5_23","type":"book-chapter","created":{"date-parts":[[2023,12,28]],"date-time":"2023-12-28T08:02:17Z","timestamp":1703750537000},"page":"287-299","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["MagicMirror: A 3-D Real-Time Virtual Try-On System Through Cloth Simulation"],"prefix":"10.1007","author":[{"given":"Zhanyi","family":"Huang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenqing","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tangsheng","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jin","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ping","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Sheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,12,29]]},"reference":[{"key":"23_CR1","doi-asserted-by":"crossref","unstructured":"An, S., et al.: ARShoe: real-time augmented reality shoe try-on system on smartphones. In: Proceedings of the 29th ACM International Conference on Multimedia, pp. 1111\u20131119 (2021)","DOI":"10.1145\/3474085.3481537"},{"key":"23_CR2","doi-asserted-by":"crossref","unstructured":"Baraff, D.: Large steps in cloth simulation. In: Proc. SIGGRAPH \u201998, pp. 43\u201354 (1998)","DOI":"10.1145\/280814.280821"},{"key":"23_CR3","doi-asserted-by":"publisher","unstructured":"Bhatnagar, B., Tiwari, G., Theobalt, C., Pons-Moll, G.: Multi-garment net: Learning to dress 3D people from images. In: 2019 IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 5419\u20135429 (2019). https:\/\/doi.org\/10.1109\/ICCV.2019.00552","DOI":"10.1109\/ICCV.2019.00552"},{"key":"23_CR4","unstructured":"Black, M.J., Matthew, L., Naureen, M., Gerard, P.M., Javier, R.: Skinned multi-person linear model. ACM (2015)"},{"key":"23_CR5","doi-asserted-by":"crossref","unstructured":"Bridson, R.E., Marino, S., Fedkiw, R.P.: Simulation of clothing with folds and wrinkles (2005)","DOI":"10.1145\/1198555.1198573"},{"issue":"1","key":"23_CR6","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1109\/TPAMI.2019.2929257","volume":"43","author":"Z Cao","year":"2021","unstructured":"Cao, Z., Hidalgo, G., Simon, T., Wei, S.E., Sheikh, Y.: OpenPose: realtime multi-person 2D pose estimation using part affinity fields. IEEE Trans. Pattern Anal. Mach. Intell. 43(1), 172\u2013186 (2021)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"6","key":"23_CR7","first-page":"1","volume":"34","author":"X Chen","year":"2015","unstructured":"Chen, X., Zhou, B., Lu, F., Wang, L., Bi, L., Tan, P.: Garment modeling with a depth camera. ACM Trans. Graph. (TOG) 34(6), 1\u201312 (2015)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"23_CR8","doi-asserted-by":"crossref","unstructured":"Choi, K.J., Ko, H.S.: Stable but responsive cloth. In: ACM SIGGRAPH 2005 Courses, pp. 1-es (2005)","DOI":"10.1145\/1198555.1198571"},{"issue":"6","key":"23_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2661229.2661279","volume":"33","author":"G Cirio","year":"2014","unstructured":"Cirio, G., Lopez-Moreno, J., Miraut, D., Otaduy, M.A.: Yarn-level simulation of woven cloth. ACM Trans. Graph. (TOG) 33(6), 1\u201311 (2014)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"23_CR10","doi-asserted-by":"publisher","first-page":"777","DOI":"10.1109\/TMM.2022.3152367","volume":"25","author":"C Du","year":"2022","unstructured":"Du, C., et al.: VTON-SCFA: a virtual try-on network based on the semantic constraints and flow alignment. IEEE Trans. Multimedia 25, 777\u2013791 (2022)","journal-title":"IEEE Trans. Multimedia"},{"key":"23_CR11","doi-asserted-by":"publisher","unstructured":"Du, C., Yu, F., Jiang, M., Wei, X., Peng, T., Hu, X.: Multi-pose virtual try-on via self-adaptive feature filtering. In: ICASSP 2022\u20132022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2544\u20132548 (2022). https:\/\/doi.org\/10.1109\/ICASSP43922.2022.9747847","DOI":"10.1109\/ICASSP43922.2022.9747847"},{"key":"23_CR12","doi-asserted-by":"crossref","unstructured":"Fratarcangeli, M., Pellacini, F.: Scalable partitioning for parallel position based dynamics. In: Computer Graphics Forum. vol. 34, pp. 405\u2013413. Wiley Online Library (2015)","DOI":"10.1111\/cgf.12570"},{"issue":"11","key":"23_CR13","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1145\/3422622","volume":"63","author":"I Goodfellow","year":"2020","unstructured":"Goodfellow, I., et al.: Generative adversarial networks. Commun. ACM 63(11), 139\u2013144 (2020)","journal-title":"Commun. ACM"},{"key":"23_CR14","doi-asserted-by":"publisher","unstructured":"Han, X., Wu, Z., Wu, Z., Yu, R., Davis, L.S.: VITON: an image-based virtual try-on network. In: 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 7543\u20137552 (2018). https:\/\/doi.org\/10.1109\/CVPR.2018.00787","DOI":"10.1109\/CVPR.2018.00787"},{"issue":"9","key":"23_CR15","doi-asserted-by":"publisher","first-page":"1552","DOI":"10.1109\/TVCG.2013.67","volume":"19","author":"S Hauswiesner","year":"2013","unstructured":"Hauswiesner, S., Straka, M., Reitmayr, G.: Virtual try-on through image-based rendering. IEEE Trans. Visual Comput. Graph. 19(9), 1552\u20131565 (2013)","journal-title":"IEEE Trans. Visual Comput. Graph."},{"key":"23_CR16","doi-asserted-by":"crossref","unstructured":"Kaldor, J.M., James, D.L., Marschner, S.: Efficient yarn-based cloth with adaptive contact linearization. In: ACM SIGGRAPH 2010 Papers, pp. 1\u201310 (2010)","DOI":"10.1145\/1833349.1778842"},{"issue":"4","key":"23_CR17","first-page":"1","volume":"32","author":"D Kim","year":"2013","unstructured":"Kim, D., Koh, W., Narain, R., Fatahalian, K., Treuille, A., O\u2019Brien, J.F.: Near-exhaustive precomputation of secondary cloth effects. ACM Trans. Graph. (TOG) 32(4), 1\u20138 (2013)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"23_CR18","doi-asserted-by":"publisher","unstructured":"Kocabas, M., Athanasiou, N., Black, M.J.: Vibe: video inference for human body pose and shape estimation. In: 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5252\u20135262 (2020). https:\/\/doi.org\/10.1109\/CVPR42600.2020.00530","DOI":"10.1109\/CVPR42600.2020.00530"},{"issue":"6","key":"23_CR19","first-page":"1","volume":"32","author":"T Liu","year":"2013","unstructured":"Liu, T., Bargteil, A.W., O\u2019Brien, J.F., Kavan, L.: Fast simulation of mass-spring systems. ACM Trans. Graph. (TOG) 32(6), 1\u20137 (2013)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"23_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1007\/978-3-031-15546-8_5","volume-title":"Extended Reality","author":"G Manfredi","year":"2022","unstructured":"Manfredi, G., Capece, N., Erra, U., Gilio, G., Baldi, V., Di Domenico, S.G.: TryItOn: a virtual dressing room with motion tracking and physically based garment simulation. In: De Paolis, L.T., Arpaia, P., Sacco, M. (eds.) XR Salento 2022. LNCS, vol. 13445, pp. 63\u201376. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-15546-8_5"},{"key":"23_CR21","doi-asserted-by":"publisher","unstructured":"Mir, A., Alldieck, T., Pons-Moll, G.: Learning to transfer texture from clothing images to 3D humans. In: 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 7021\u20137032 (2020). https:\/\/doi.org\/10.1109\/CVPR42600.2020.00705","DOI":"10.1109\/CVPR42600.2020.00705"},{"key":"23_CR22","unstructured":"M\u00fcller, M.: Hierarchical position based dynamics. DBLP (2008)"},{"key":"23_CR23","doi-asserted-by":"publisher","unstructured":"Patel, C., Liao, Z., Pons-Moll, G.: TailorNet: predicting clothing in 3D as a function of human pose, shape and garment style. In: 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 7363\u20137373 (2020). https:\/\/doi.org\/10.1109\/CVPR42600.2020.00739","DOI":"10.1109\/CVPR42600.2020.00739"},{"key":"23_CR24","doi-asserted-by":"crossref","unstructured":"Pons-Moll, G., Pujades, S., Sonny, H.U., Black, M.J.: ClothCap: seamless 4D clothing capture and retargeting. ACM Trans. Graph. 36(4CD), 1\u201315 (2017)","DOI":"10.1145\/3072959.3073711"},{"key":"23_CR25","unstructured":"Provot, X.: Deformation constraints in a mass-spring model to describe rigid cloth behavior (2001)"},{"issue":"2","key":"23_CR26","doi-asserted-by":"publisher","first-page":"339","DOI":"10.1109\/TVCG.2008.79","volume":"15","author":"A Selle","year":"2009","unstructured":"Selle, A., Su, J., Irving, G., Fedkiw, R.: Robust high-resolution cloth using parallelism, history-based collisions, and accurate friction. IEEE Trans. Visual Comput. Graph. 15(2), 339\u2013350 (2009). https:\/\/doi.org\/10.1109\/TVCG.2008.79","journal-title":"IEEE Trans. Visual Comput. Graph."},{"key":"23_CR27","doi-asserted-by":"publisher","unstructured":"Stoll, C., Gall, J., de Aguiar, E., Thrun, S., Theobalt, C.: Video-based reconstruction of animatable human characters. ACM Trans. Graph. 29(6), 1\u201310 (2010). https:\/\/doi.org\/10.1145\/1882261.1866161","DOI":"10.1145\/1882261.1866161"},{"key":"23_CR28","doi-asserted-by":"crossref","unstructured":"Terzopoulos, D., Platt, J., Barr, A., Fleischer, K.: Elastically deformable models. In: Proceedings of the 14th Annual Conference on Computer Graphics and Interactive Techniques, pp. 205\u2013214 (1987)","DOI":"10.1145\/37401.37427"},{"key":"23_CR29","doi-asserted-by":"crossref","unstructured":"Volino, P., Magnenat-Thalmann, N., Faure, F.: A simple approach to nonlinear tensile stiffness for accurate cloth simulation. ACM Trans. Graph. 28(4), Article-No (2009)","DOI":"10.1145\/1559755.1559762"},{"key":"23_CR30","doi-asserted-by":"crossref","unstructured":"Wang, B., Zheng, H., Liang, X., Chen, Y., Lin, L., Yang, M.: Toward characteristic-preserving image-based virtual try-on network. In: Proceedings of the European Conference on Computer Vision (ECCV) (2018)","DOI":"10.1007\/978-3-030-01261-8_36"},{"key":"23_CR31","doi-asserted-by":"publisher","unstructured":"Wang, Z., Wu, L., Fratarcangeli, M., Tang, M., Wang, H.: Parallel multigrid for nonlinear cloth simulation. In: Computer Graphics Forum, vol. 37, pp. 131-141 (2018). https:\/\/doi.org\/10.1111\/cgf.13554","DOI":"10.1111\/cgf.13554"},{"key":"23_CR32","unstructured":"Wu, Y.L.: One pose fits all: a novel kinematic approach to 3D human pose estimation (2021)"},{"key":"23_CR33","doi-asserted-by":"crossref","unstructured":"Yamamoto, H., Moriya, T., Takahashi, T.: Development of a virtual try-on system for eyeglasses considering lens distortion. In: International Workshop on Advanced Imaging Technology (IWAIT) 2021, vol. 11766, pp. 409\u2013414. SPIE (2021)","DOI":"10.1117\/12.2590775"},{"key":"23_CR34","doi-asserted-by":"crossref","unstructured":"Zhao, F., et al.: M3D-VTON: a monocular-to-3D virtual try-on network. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 13239\u201313249 (2021)","DOI":"10.1109\/ICCV48922.2021.01299"},{"key":"23_CR35","doi-asserted-by":"crossref","unstructured":"Zhou, B., Chen, X., Fu, Q., Guo, K., Tan, P.: Garment modeling from a single image. In: Computer Graphics Forum, vol. 32, pp. 85\u201391. Wiley Online Library (2013)","DOI":"10.1111\/cgf.12215"}],"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\/978-3-031-50072-5_23","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,28]],"date-time":"2023-12-28T08:07:00Z","timestamp":1703750820000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-50072-5_23"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,29]]},"ISBN":["9783031500718","9783031500725"],"references-count":35,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-50072-5_23","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023,12,29]]},"assertion":[{"value":"29 December 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"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":"Shanghai","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":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 August 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cgi2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"385","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"149","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"39% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}