{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T00:22:24Z","timestamp":1742948544842,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":31,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819712793"},{"type":"electronic","value":"9789819712809"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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\/978-981-97-1280-9_22","type":"book-chapter","created":{"date-parts":[[2024,4,2]],"date-time":"2024-04-02T06:01:41Z","timestamp":1712037701000},"page":"286-299","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Clothed Human Model Estimation from\u00a0Unseen Partial Point Clouds with\u00a0Meta-learning"],"prefix":"10.1007","author":[{"given":"Chenghao","family":"Fang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kangkan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shihao","family":"Yin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shaoyuan","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,4,3]]},"reference":[{"key":"22_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1007\/978-3-030-58536-5_19","volume-title":"Computer Vision \u2013 ECCV 2020","author":"BL Bhatnagar","year":"2020","unstructured":"Bhatnagar, B.L., Sminchisescu, C., Theobalt, C., Pons-Moll, G.: Combining implicit function learning and parametric models for 3D human reconstruction. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12347, pp. 311\u2013329. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58536-5_19"},{"key":"22_CR2","doi-asserted-by":"crossref","unstructured":"Bhatnagar, B.L., Tiwari, G., Theobalt, C., Pons-Moll, G.: Multi-Garment Net: learning to dress 3D people from images. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 5420\u20135430 (2019)","DOI":"10.1109\/ICCV.2019.00552"},{"key":"22_CR3","doi-asserted-by":"crossref","unstructured":"Bogo, F., Romero, J., Pons-Moll, G., Black, M.J.: Dynamic FAUST: registering human bodies in motion. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 6233\u20136242 (2017)","DOI":"10.1109\/CVPR.2017.591"},{"key":"22_CR4","doi-asserted-by":"crossref","unstructured":"Burov, A., Nie\u00dfner, M., Thies, J.: Dynamic surface function networks for clothed human bodies. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 10754\u201310764 (2021)","DOI":"10.1109\/ICCV48922.2021.01058"},{"key":"22_CR5","doi-asserted-by":"crossref","unstructured":"Chibane, J., Alldieck, T., Pons-Moll, G.: Implicit functions in feature space for 3D shape reconstruction and completion. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 6970\u20136981 (2020)","DOI":"10.1109\/CVPR42600.2020.00700"},{"key":"22_CR6","unstructured":"Finn, C., Abbeel, P., Levine, S.: Model-agnostic meta-learning for fast adaptation of deep networks. In: International Conference on Machine Learning, pp. 1126\u20131135. PMLR (2017)"},{"key":"22_CR7","doi-asserted-by":"crossref","unstructured":"Gundogdu, E., Constantin, V., Seifoddini, A., Dang, M., Salzmann, M., Fua, P.: GarNet: a two-stream network for fast and accurate 3D cloth draping. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 8739\u20138748 (2019)","DOI":"10.1109\/ICCV.2019.00883"},{"key":"22_CR8","doi-asserted-by":"crossref","unstructured":"Guo, K., Xu, F., Wang, Y., Liu, Y., Dai, Q.: Robust non-rigid motion tracking and surface reconstruction using l0 regularization. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 3083\u20133091 (2015)","DOI":"10.1109\/ICCV.2015.353"},{"key":"22_CR9","doi-asserted-by":"crossref","unstructured":"Guo, K., Xu, F., Yu, T., Liu, X., Dai, Q., Liu, Y.: Real-time geometry, albedo, and motion reconstruction using a single RGB-D camera. ACM Trans. Graph. (ToG) 36(4), 32:1\u201332:9 (2017)","DOI":"10.1145\/3072959.3126786"},{"key":"22_CR10","doi-asserted-by":"crossref","unstructured":"Jiang, H., Cai, J., Zheng, J.: Skeleton-aware 3D human shape reconstruction from point clouds. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 5431\u20135441 (2019)","DOI":"10.1109\/ICCV.2019.00553"},{"key":"22_CR11","doi-asserted-by":"crossref","unstructured":"Kanazawa, A., Black, M.J., Jacobs, D.W., Malik, J.: End-to-end recovery of human shape and pose. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 7122\u20137131 (2018)","DOI":"10.1109\/CVPR.2018.00744"},{"key":"22_CR12","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)"},{"key":"22_CR13","doi-asserted-by":"crossref","unstructured":"Li, J., et al.: LiDARCap: long-range marker-less 3D human motion capture with lidar point clouds. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 20502\u201320512 (2022)","DOI":"10.1109\/CVPR52688.2022.01985"},{"key":"22_CR14","doi-asserted-by":"crossref","unstructured":"Liu, G., Rong, Y., Sheng, L.: VoteHMR: occlusion-aware voting network for robust 3D human mesh recovery from partial point clouds. In: Proceedings of the 29th ACM International Conference on Multimedia, pp. 955\u2013964 (2021)","DOI":"10.1145\/3474085.3475309"},{"issue":"6","key":"22_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2816795.2818013","volume":"34","author":"M Loper","year":"2015","unstructured":"Loper, M., Mahmood, N., Romero, J., Pons-Moll, G., Black, M.J.: SMP: a skinned multi-person linear model. ACM Trans. Graph. (TOG) 34(6), 1\u201316 (2015)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"22_CR16","doi-asserted-by":"crossref","unstructured":"Ma, Q., Saito, S., Yang, J., Tang, S., Black, M.J.: SCALE: modeling clothed humans with a surface codec of articulated local elements. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 16082\u201316093 (2021)","DOI":"10.1109\/CVPR46437.2021.01582"},{"key":"22_CR17","doi-asserted-by":"crossref","unstructured":"Ma, Q., et al.: Learning to dress 3D people in generative clothing. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 6469\u20136478 (2020)","DOI":"10.1109\/CVPR42600.2020.00650"},{"key":"22_CR18","doi-asserted-by":"crossref","unstructured":"Ma, Q., Yang, J., Tang, S., Black, M.J.: The power of points for modeling humans in clothing. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 10974\u201310984 (2021)","DOI":"10.1109\/ICCV48922.2021.01079"},{"key":"22_CR19","doi-asserted-by":"crossref","unstructured":"Min, C., Kim, T., Lim, J.: Meta-learning for adaptation of deep optical flow networks. In: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision, pp. 2145\u20132154 (2023)","DOI":"10.1109\/WACV56688.2023.00218"},{"key":"22_CR20","unstructured":"Nichol, A., Achiam, J., Schulman, J.: On first-order meta-learning algorithms. arXiv preprint arXiv:1803.02999 (2018)"},{"key":"22_CR21","doi-asserted-by":"crossref","unstructured":"Patel, C., Liao, Z., Pons-Moll, G.: TailorNet: predicting clothing in 3D as a function of human pose, shape and garment style. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 7365\u20137375 (2020)","DOI":"10.1109\/CVPR42600.2020.00739"},{"key":"22_CR22","unstructured":"Qi, C.R., Yi, L., Su, H., Guibas, L.J.: PointNet++: deep hierarchical feature learning on point sets in a metric space. In: Advances in Neural Information Processing Systems, vol. 30 (2017)"},{"key":"22_CR23","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1007\/978-3-319-24574-4_28","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2015","author":"O Ronneberger","year":"2015","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-Net: convolutional networks for biomedical image segmentation. In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F. (eds.) MICCAI 2015. LNCS, vol. 9351, pp. 234\u2013241. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-24574-4_28"},{"key":"22_CR24","doi-asserted-by":"crossref","unstructured":"Saito, S., Huang, Z., Natsume, R., Morishima, S., Kanazawa, A., Li, H.: PIFu: pixel-aligned implicit function for high-resolution clothed human digitization. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 2304\u20132314 (2019)","DOI":"10.1109\/ICCV.2019.00239"},{"key":"22_CR25","doi-asserted-by":"crossref","unstructured":"Shen, K., et al.: X-avatar: expressive human avatars. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 16911\u201316921 (2023)","DOI":"10.1109\/CVPR52729.2023.01622"},{"key":"22_CR26","unstructured":"Sitzmann, V., Chan, E., Tucker, R., Snavely, N., Wetzstein, G.: MetaSDF: meta-learning signed distance functions. In: Advances in Neural Information Processing Systems, vol. 33, pp. 10136\u201310147 (2020)"},{"key":"22_CR27","doi-asserted-by":"crossref","unstructured":"Varol, G., et al.: Learning from synthetic humans. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 109\u2013117 (2017)","DOI":"10.1109\/CVPR.2017.492"},{"key":"22_CR28","doi-asserted-by":"crossref","unstructured":"Wang, K., Xie, J., Zhang, G., Liu, L., Yang, J.: Sequential 3D human pose and shape estimation from point clouds. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 7275\u20137284 (2020)","DOI":"10.1109\/CVPR42600.2020.00730"},{"key":"22_CR29","doi-asserted-by":"crossref","unstructured":"Wang, K., Zheng, H., Zhang, G., Yang, J.: Parametric model estimation for 3D clothed humans from point clouds. In: 2021 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), pp. 156\u2013165. IEEE (2021)","DOI":"10.1109\/ISMAR52148.2021.00030"},{"key":"22_CR30","doi-asserted-by":"crossref","unstructured":"Wang, S., Geiger, A., Tang, S.: Locally aware piecewise transformation fields for 3D human mesh registration. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 7639\u20137648 (2021)","DOI":"10.1109\/CVPR46437.2021.00755"},{"key":"22_CR31","unstructured":"Wang, S., Mihajlovic, M., Ma, Q., Geiger, A., Tang, S.: MetaAvatar: learning animatable clothed human models from few depth images. In: Advances in Neural Information Processing Systems, vol. 34, pp. 2810\u20132822 (2021)"}],"container-title":["Communications in Computer and Information Science","Data Science and Information Security"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-1280-9_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,2]],"date-time":"2024-04-02T06:13:24Z","timestamp":1712038404000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-1280-9_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819712793","9789819712809"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-1280-9_22","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"3 April 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IAIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Artificial Intelligence Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Nanjing","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":"24 November 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 November 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iaic2023a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.iaicconf.com\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}