{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T00:17:21Z","timestamp":1743121041006,"version":"3.40.3"},"publisher-location":"Cham","reference-count":121,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030418151"},{"type":"electronic","value":"9783030418168"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-41816-8_8","type":"book-chapter","created":{"date-parts":[[2020,3,10]],"date-time":"2020-03-10T15:12:39Z","timestamp":1583853159000},"page":"188-218","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Reconstructing 3D Human Avatars from Monocular Images"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2837-2642","authenticated-orcid":false,"given":"Thiemo","family":"Alldieck","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9507-5141","authenticated-orcid":false,"given":"Moritz","family":"Kappel","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1245-4758","authenticated-orcid":false,"given":"Susana","family":"Castillo","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0579-480X","authenticated-orcid":false,"given":"Marcus","family":"Magnor","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,3,3]]},"reference":[{"key":"8_CR1","doi-asserted-by":"crossref","unstructured":"Ahmed, N., de Aguiar, E., Theobalt, C., Magnor, M., Seidel, H.P.: Automatic generation of personalized human avatars from multi-view video. In: Proceedings of the ACM Symposium on Virtual Reality Software and Technology, pp. 257\u2013260. ACM (2005)","DOI":"10.1145\/1101616.1101668"},{"key":"8_CR2","doi-asserted-by":"crossref","unstructured":"Aliev, K.A., Ulyanov, D., Lempitsky, V.: Neural point-based graphics. arXiv preprint arXiv:1906.08240 (2019)","DOI":"10.1007\/978-3-030-58542-6_42"},{"key":"8_CR3","doi-asserted-by":"crossref","unstructured":"Allain, B., Franco, J.S., Boyer, E.: An efficient volumetric framework for shape tracking. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 268\u2013276. IEEE (2015)","DOI":"10.1109\/CVPR.2015.7298623"},{"key":"8_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"347","DOI":"10.1007\/978-3-319-66709-6_28","volume-title":"Pattern Recognition","author":"T Alldieck","year":"2017","unstructured":"Alldieck, T., Kassubeck, M., Wandt, B., Rosenhahn, B., Magnor, M.: Optical flow-based 3D human motion estimation from monocular video. In: Roth, V., Vetter, T. (eds.) GCPR 2017. LNCS, vol. 10496, pp. 347\u2013360. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-66709-6_28"},{"key":"8_CR5","doi-asserted-by":"crossref","unstructured":"Alldieck, T., Magnor, M., Bhatnagar, B.L., Theobalt, C., Pons-Moll, G.: Learning to reconstruct people in clothing from a single RGB camera. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 1175\u20131186. IEEE (2019)","DOI":"10.1109\/CVPR.2019.00127"},{"key":"8_CR6","doi-asserted-by":"crossref","unstructured":"Alldieck, T., Magnor, M., Xu, W., Theobalt, C., Pons-Moll, G.: Detailed human avatars from monocular video. In: International Conference on 3D Vision, pp. 98\u2013109. IEEE (2018)","DOI":"10.1109\/3DV.2018.00022"},{"key":"8_CR7","doi-asserted-by":"crossref","unstructured":"Alldieck, T., Magnor, M., Xu, W., Theobalt, C., Pons-Moll, G.: Video based reconstruction of 3D people models. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 8387\u20138397. IEEE (2018)","DOI":"10.1109\/CVPR.2018.00875"},{"key":"8_CR8","doi-asserted-by":"crossref","unstructured":"Alldieck, T., Pons-Moll, G., Theobalt, C., Magnor, M.: Tex2Shape: detailed full human body geometry from a single image. In: IEEE International Conference on Computer Vision. IEEE (2019)","DOI":"10.1109\/ICCV.2019.00238"},{"issue":"3","key":"8_CR9","doi-asserted-by":"publisher","first-page":"587","DOI":"10.1145\/882262.882311","volume":"22","author":"B Allen","year":"2003","unstructured":"Allen, B., Curless, B., Curless, B., Popovi\u0107, Z.: The space of human body shapes: reconstruction and parameterization from range scans. ACM Trans. Graph. 22(3), 587\u2013594 (2003)","journal-title":"ACM Trans. Graph."},{"key":"8_CR10","unstructured":"Allen, B., Curless, B., Popovi\u0107, Z., Hertzmann, A.: Learning a correlated model of identity and pose-dependent body shape variation for real-time synthesis. In: Proceedings of the 2006 ACM SIGGRAPH\/Eurographics Symposium on Computer Animation, pp. 147\u2013156 (2006)"},{"key":"8_CR11","doi-asserted-by":"crossref","unstructured":"Alp G\u00fcler, R., Neverova, N., Kokkinos, I.: DensePose: dense human pose estimation in the wild. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 7297\u20137306. IEEE (2018)","DOI":"10.1109\/CVPR.2018.00762"},{"issue":"3","key":"8_CR12","doi-asserted-by":"publisher","first-page":"408","DOI":"10.1145\/1073204.1073207","volume":"24","author":"D Anguelov","year":"2005","unstructured":"Anguelov, D., Srinivasan, P., Koller, D., Thrun, S., Rodgers, J., Davis, J.: SCAPE: shape completion and animation of people. ACM Trans. Graph. 24(3), 408\u2013416 (2005)","journal-title":"ACM Trans. Graph."},{"key":"8_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1007\/978-3-540-88688-4_2","volume-title":"Computer Vision \u2013 ECCV 2008","author":"AO B\u0103lan","year":"2008","unstructured":"B\u0103lan, A.O., Black, M.J.: The naked truth: estimating body shape under clothing. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008. LNCS, vol. 5303, pp. 15\u201329. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-3-540-88688-4_2"},{"key":"8_CR14","doi-asserted-by":"crossref","unstructured":"B\u0103lan, A.O., Sigal, L., Black, M.J., Davis, J.E., Haussecker, H.W.: Detailed human shape and pose from images. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1\u20138. IEEE (2007)","DOI":"10.1109\/CVPR.2007.383340"},{"issue":"10","key":"8_CR15","doi-asserted-by":"publisher","first-page":"542","DOI":"10.1145\/360349.360353","volume":"19","author":"JF Blinn","year":"1976","unstructured":"Blinn, J.F., Newell, M.E.: Texture and reflection in computer generated images. Commun. ACM 19(10), 542\u2013547 (1976)","journal-title":"Commun. ACM"},{"key":"8_CR16","doi-asserted-by":"crossref","unstructured":"Bogo, F., Black, M.J., Loper, M., Romero, J.: Detailed full-body reconstructions of moving people from monocular RGB-D sequences. In: IEEE International Conference on Computer Vision, pp. 2300\u20132308. IEEE (2015)","DOI":"10.1109\/ICCV.2015.265"},{"key":"8_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"561","DOI":"10.1007\/978-3-319-46454-1_34","volume-title":"Computer Vision \u2013 ECCV 2016","author":"F Bogo","year":"2016","unstructured":"Bogo, F., Kanazawa, A., Lassner, C., Gehler, P., Romero, J., Black, M.J.: Keep it SMPL: automatic estimation of 3D human pose and shape from a single image. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9909, pp. 561\u2013578. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46454-1_34"},{"key":"8_CR18","doi-asserted-by":"crossref","unstructured":"Bogo, F., Romero, J., Pons-Moll, G., Black, M.J.: Dynamic FAUST: registering human bodies in motion. In: IEEE Conference on Computer Vision and Pattern Recognition. IEEE (2017)","DOI":"10.1109\/CVPR.2017.591"},{"key":"8_CR19","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1109\/MSP.2017.2693418","volume":"34","author":"MM Bronstein","year":"2017","unstructured":"Bronstein, M.M., Bruna, J., LeCun, Y., Szlam, A., Vandergheynst, P.: Geometric deep learning: going beyond Euclidean data. IEEE Sign. Process. Mag. 34, 18\u201342 (2017)","journal-title":"IEEE Sign. Process. Mag."},{"key":"8_CR20","doi-asserted-by":"crossref","unstructured":"Caelles, S., Maninis, K.K., Pont-Tuset, J., Leal-Taix\u00e9, L., Cremers, D., Van Gool, L.: One-shot video object segmentation. In: IEEE Conference on Computer Vision and Pattern Recognition. IEEE (2017)","DOI":"10.1109\/CVPR.2017.565"},{"issue":"3","key":"8_CR21","first-page":"413","volume":"20","author":"C Cao","year":"2013","unstructured":"Cao, C., Weng, Y., Zhou, S., Tong, Y., Zhou, K.: FaceWarehouse: a 3D facial expression database for visual computing. IEEE Trans. Visual. Comput. Graph. 20(3), 413\u2013425 (2013)","journal-title":"IEEE Trans. Visual. Comput. Graph."},{"key":"8_CR22","doi-asserted-by":"crossref","unstructured":"Cao, Z., Simon, T., Wei, S.E., Sheikh, Y.: Realtime multi-person 2D pose estimation using part affinity fields. In: IEEE Conference on Computer Vision and Pattern Recognition. IEEE (2017)","DOI":"10.1109\/CVPR.2017.143"},{"issue":"3","key":"8_CR23","doi-asserted-by":"publisher","first-page":"569","DOI":"10.1145\/882262.882309","volume":"22","author":"J Carranza","year":"2003","unstructured":"Carranza, J., Theobalt, C., Magnor, M.A., Seidel, H.P.: Free-viewpoint video of human actors. ACM Trans. Graph. 22(3), 569\u2013577 (2003)","journal-title":"ACM Trans. Graph."},{"issue":"11","key":"8_CR24","doi-asserted-by":"publisher","first-page":"1187","DOI":"10.1007\/s00371-013-0775-7","volume":"29","author":"X Chen","year":"2013","unstructured":"Chen, X., Guo, Y., Zhou, B., Zhao, Q.: Deformable model for estimating clothed and naked human shapes from a single image. Vis. Comput. 29(11), 1187\u20131196 (2013)","journal-title":"Vis. Comput."},{"key":"8_CR25","doi-asserted-by":"crossref","unstructured":"Chen, Z., Zhang, H.: Learning implicit fields for generative shape modeling. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition. IEEE (2019)","DOI":"10.1109\/CVPR.2019.00609"},{"issue":"4","key":"8_CR26","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1145\/2766945","volume":"34","author":"A Collet","year":"2015","unstructured":"Collet, A., et al.: High-quality streamable free-viewpoint video. ACM Trans. Graph. 34(4), 69 (2015)","journal-title":"ACM Trans. Graph."},{"key":"8_CR27","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1007\/978-3-642-37484-5_12","volume-title":"Computer Vision - ACCV 2012 Workshops","author":"Y Cui","year":"2013","unstructured":"Cui, Y., Chang, W., N\u00f6ll, T., Stricker, D.: KinectAvatar: fully automatic body capture using a single kinect. In: Park, J.-I., Kim, J. (eds.) ACCV 2012. LNCS, vol. 7729, pp. 133\u2013147. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-37484-5_12"},{"issue":"3","key":"8_CR28","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1145\/1360612.1360697","volume":"27","author":"E Aguiar De","year":"2008","unstructured":"De Aguiar, E., Stoll, C., Theobalt, C., Ahmed, N., Seidel, H.P., Thrun, S.: Performance capture from sparse multi-view video. ACM Trans. Graph. 27(3), 98 (2008)","journal-title":"ACM Trans. Graph."},{"key":"8_CR29","unstructured":"De Aguiar, E., Theobalt, C., Magnor, M., Seidel, H.P., et al.: Reconstructing human shape and motion from multi-view video. In: 2nd European Conference on Visual Media Production (CVMP), pp. 42\u201349 (2005)"},{"key":"8_CR30","doi-asserted-by":"crossref","unstructured":"Dibra, E., Jain, H., \u00d6ztireli, C., Ziegler, R., Gross, M.: HS-Nets: estimating human body shape from silhouettes with convolutional neural networks. In: International Conference on 3D Vision, pp. 108\u2013117. IEEE (2016)","DOI":"10.1109\/3DV.2016.19"},{"key":"8_CR31","doi-asserted-by":"crossref","unstructured":"Dibra, E., Jain, H., \u00d6ztireli, C., Ziegler, R., Gross, M.: Human shape from silhouettes using generative HKS descriptors and cross-modal neural networks. In: IEEE Conference on Computer Vision and Pattern Recognition. IEEE (2017)","DOI":"10.1109\/CVPR.2017.584"},{"key":"8_CR32","doi-asserted-by":"crossref","unstructured":"Dibra, E., \u00d6ztireli, C., Ziegler, R., Gross, M.: Shape from selfies: human body shape estimation using CCA regression forests. In: European Conference on Computer Vision, pp. 88\u2013104 (2016)","DOI":"10.1007\/978-3-319-46493-0_6"},{"issue":"4","key":"8_CR33","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1145\/2897824.2925969","volume":"35","author":"M Dou","year":"2016","unstructured":"Dou, M., et al.: Fusion4D: real-time performance capture of challenging scenes. ACM Trans. Graph. 35(4), 114 (2016)","journal-title":"ACM Trans. Graph."},{"key":"8_CR34","doi-asserted-by":"crossref","unstructured":"Gall, J., Stoll, C., De Aguiar, E., Theobalt, C., Rosenhahn, B., Seidel, H.P.: Motion capture using joint skeleton tracking and surface estimation. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1746\u20131753. IEEE (2009)","DOI":"10.1109\/CVPR.2009.5206755"},{"key":"8_CR35","doi-asserted-by":"crossref","unstructured":"Gilbert, A., Volino, M., Collomosse, J., Hilton, A.: Volumetric performance capture from minimal camera viewpoints. In: European Conference on Computer Vision (2018)","DOI":"10.1007\/978-3-030-01252-6_35"},{"key":"8_CR36","doi-asserted-by":"crossref","unstructured":"Gong, K., Liang, X., Li, Y., Chen, Y., Yang, M., Lin, L.: Instance-level human parsing via part grouping network. In: European Conference on Computer Vision (2018)","DOI":"10.1007\/978-3-030-01225-0_47"},{"key":"8_CR37","unstructured":"Guan, P., Weiss, A., B\u0103lan, A.O., Black, M.J.: Estimating human shape and pose from a single image. In: IEEE International Conference on Computer Vision, pp. 1381\u20131388. IEEE (2009)"},{"key":"8_CR38","doi-asserted-by":"crossref","unstructured":"Guler, R.A., Kokkinos, I.: Holopose: holistic 3D human reconstruction in-the-wild. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 10884\u201310894. IEEE (2019)","DOI":"10.1109\/CVPR.2019.01114"},{"key":"8_CR39","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1007\/978-3-642-34263-9_6","volume-title":"Computational Visual Media","author":"Y Guo","year":"2012","unstructured":"Guo, Y., Chen, X., Zhou, B., Zhao, Q.: Clothed and naked human shapes estimation from a single image. In: Hu, S.-M., Martin, R.R. (eds.) CVM 2012. LNCS, vol. 7633, pp. 43\u201350. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-34263-9_6"},{"issue":"2","key":"8_CR40","doi-asserted-by":"publisher","first-page":"14:1","DOI":"10.1145\/3311970","volume":"38","author":"M Habermann","year":"2019","unstructured":"Habermann, M., Xu, W., Zollh\u00f6fer, M., Pons-Moll, G., Theobalt, C.: LiveCap: real-time human performance capture from monocular video. ACM Trans. Graph. 38(2), 14:1\u201314:17 (2019)","journal-title":"ACM Trans. Graph."},{"key":"8_CR41","doi-asserted-by":"crossref","unstructured":"Hasler, N., Ackermann, H., Rosenhahn, B., Thormahlen, T., Seidel, H.P.: Multilinear pose and body shape estismation of dressed subjects from image sets. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1823\u20131830. IEEE (2010)","DOI":"10.1109\/CVPR.2010.5539853"},{"issue":"2","key":"8_CR42","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1111\/j.1467-8659.2009.01373.x","volume":"28","author":"N Hasler","year":"2009","unstructured":"Hasler, N., Stoll, C., Sunkel, M., Rosenhahn, B., Seidel, H.P.: A statistical model of human pose and body shape. Comput. Graph. Forum 28(2), 337\u2013346 (2009)","journal-title":"Comput. Graph. Forum"},{"key":"8_CR43","unstructured":"Henderson, P., Ferrari, V.: Learning to generate and reconstruct 3D meshes with only 2D supervision. In: British Machine Vision Conference (2018)"},{"key":"8_CR44","doi-asserted-by":"publisher","unstructured":"Hesse, N., Pujades, S., Black, M.J., Arens, M., Hofmann, U., Schroeder, S.: Learning and tracking the 3D body shape of freely moving infants from RGB-D sequences. Trans. Pattern Anal. Mach. Intell. (TPAMI) (2019). https:\/\/doi.org\/10.1109\/TPAMI.2019.2917908 . 12 Pages","DOI":"10.1109\/TPAMI.2019.2917908"},{"key":"8_CR45","first-page":"174","volume":"99","author":"A Hilton","year":"1999","unstructured":"Hilton, A., Beresford, D.J., Gentils, T., Smith, R.S., Sun, W.: Virtual people: capturing human models to populate virtual worlds. Proc. Comput. Anim. 99, 174 (1999)","journal-title":"Proc. Comput. Anim."},{"key":"8_CR46","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"242","DOI":"10.1007\/978-3-642-33783-3_18","volume-title":"Computer Vision \u2013 ECCV 2012","author":"DA Hirshberg","year":"2012","unstructured":"Hirshberg, D.A., Loper, M., Rachlin, E., Black, M.J.: Coregistration: simultaneous alignment and modeling of articulated 3D shape. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012. LNCS, vol. 7577, pp. 242\u2013255. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-33783-3_18"},{"key":"8_CR47","doi-asserted-by":"crossref","unstructured":"Huang, C.H., Allain, B., Franco, J.S., Navab, N., Ilic, S., Boyer, E.: Volumetric 3D tracking by detection. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 3862\u20133870. IEEE (2016)","DOI":"10.1109\/CVPR.2016.419"},{"key":"8_CR48","doi-asserted-by":"crossref","unstructured":"Huang, Y., et al.: Towards accurate markerless human shape and pose estimation over time. In: International Conference on 3D Vision. IEEE (2017)","DOI":"10.1109\/3DV.2017.00055"},{"issue":"6","key":"8_CR49","doi-asserted-by":"publisher","first-page":"185:1","DOI":"10.1145\/3272127.3275108","volume":"37","author":"Y Huang","year":"2018","unstructured":"Huang, Y., Kaufmann, M., Aksan, E., Black, M.J., Hilliges, O., Pons-Moll, G.: Deep inertial poser learning to reconstruct human pose from sparseinertial measurements in real time. ACM Trans. Graph. 37(6), 185:1\u2013185:15 (2018)","journal-title":"ACM Trans. Graph."},{"key":"8_CR50","doi-asserted-by":"crossref","unstructured":"Huang, Z., et al.: Deep volumetric video from very sparse multi-view performance capture. In: European Conference on Computer Vision, pp. 336\u2013354 (2018)","DOI":"10.1007\/978-3-030-01270-0_21"},{"key":"8_CR51","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"362","DOI":"10.1007\/978-3-319-46484-8_22","volume-title":"Computer Vision \u2013 ECCV 2016","author":"M Innmann","year":"2016","unstructured":"Innmann, M., Zollh\u00f6fer, M., Nie\u00dfner, M., Theobalt, C., Stamminger, M.: VolumeDeform: real-time volumetric non-rigid reconstruction. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9912, pp. 362\u2013379. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46484-8_22"},{"key":"8_CR52","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1007\/978-3-319-46466-4_3","volume-title":"Computer Vision \u2013 ECCV 2016","author":"E Insafutdinov","year":"2016","unstructured":"Insafutdinov, E., Pishchulin, L., Andres, B., Andriluka, M., Schiele, B.: DeeperCut: a deeper, stronger, and faster multi-person pose estimation model. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9910, pp. 34\u201350. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46466-4_3"},{"key":"8_CR53","doi-asserted-by":"crossref","unstructured":"Isola, P., Zhu, J.Y., Zhou, T., Efros, A.A.: Image-to-image translation with conditional adversarial networks. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1125\u20131134. IEEE (2017)","DOI":"10.1109\/CVPR.2017.632"},{"key":"8_CR54","doi-asserted-by":"crossref","unstructured":"Jackson, A.S., Manafas, C., Tzimiropoulos, G.: 3D human body reconstruction from a single image via volumetric regression. In: European Conference on Computer Vision, pp. 64\u201377 (2018)","DOI":"10.1007\/978-3-030-11018-5_6"},{"key":"8_CR55","doi-asserted-by":"crossref","unstructured":"Joo, H., Simon, T., Sheikh, Y.: Total capture: a 3D deformation model for tracking faces, hands, and bodies. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 8320\u20138329. IEEE (2018)","DOI":"10.1109\/CVPR.2018.00868"},{"key":"8_CR56","unstructured":"Kakadiaris, I.A., Metaxas, D.: 3D human body model acquisition from multiple views. In: IEEE International Conference on Computer Vision. IEEE (1995)"},{"key":"8_CR57","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: IEEE\/CVF Conference on Computer Vision and Pattern Recognition. IEEE (2018)","DOI":"10.1109\/CVPR.2018.00744"},{"key":"8_CR58","doi-asserted-by":"crossref","unstructured":"Kanazawa, A., Zhang, J.Y., Felsen, P., Malik, J.: Learning 3D human dynamics from video. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5614\u20135623. IEEE (2019)","DOI":"10.1109\/CVPR.2019.00576"},{"issue":"4","key":"8_CR59","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3072959.3073685","volume":"36","author":"M Kim","year":"2017","unstructured":"Kim, M., et al.: Data-driven physics for human soft tissue animation. ACM Trans. Graph. 36(4), 1\u201312 (2017)","journal-title":"ACM Trans. Graph."},{"key":"8_CR60","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. In: International Conference on Learning Representations, vol. 5 (2015)"},{"key":"8_CR61","doi-asserted-by":"crossref","unstructured":"Kolotouros, N., Pavlakos, G., Daniilidis, K.: Convolutional mesh regression for single-image human shape reconstruction. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition. IEEE (2019)","DOI":"10.1109\/CVPR.2019.00463"},{"key":"8_CR62","doi-asserted-by":"crossref","unstructured":"Lassner, C., Romero, J., Kiefel, M., Bogo, F., Black, M.J., Gehler, P.V.: Unite the people: closing the loop between 3D and 2D human representations. In: IEEE Conference on Computer Vision and Pattern Recognition. IEEE (2017)","DOI":"10.1109\/CVPR.2017.500"},{"key":"8_CR63","doi-asserted-by":"crossref","unstructured":"Leroy, V., Franco, J.S., Boyer, E.: Multi-view dynamic shape refinement using local temporal integration. In: IEEE International Conference on Computer Vision. IEEE (2017)","DOI":"10.1109\/ICCV.2017.336"},{"issue":"6","key":"8_CR64","first-page":"187","volume":"32","author":"H Li","year":"2013","unstructured":"Li, H., Vouga, E., Gudym, A., Luo, L., Barron, J.T., Gusev, G.: 3D self-portraits. ACM Trans. Graph. 32(6), 187 (2013)","journal-title":"ACM Trans. Graph."},{"key":"8_CR65","doi-asserted-by":"crossref","unstructured":"Liu, Z., Luo, P., Qiu, S., Wang, X., Tang, X.: DeepFashion: powering robust clothes recognition and retrieval with rich annotations. In: IEEE Conference on Computer Vision and Pattern Recognition. IEEE (2016)","DOI":"10.1109\/CVPR.2016.124"},{"key":"8_CR66","doi-asserted-by":"crossref","unstructured":"Lombardi, S., Simon, T., Saragih, J., Schwartz, G., Lehrmann, A., Sheikh, Y.: Neural volumes: learning dynamic renderable volumes from images. arXiv preprint arXiv:1906.07751 (2019)","DOI":"10.1145\/3306346.3323020"},{"issue":"6","key":"8_CR67","doi-asserted-by":"publisher","first-page":"248:1","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.: SMPL: a skinned multi-person linear model. ACM Trans. Graph. 34(6), 248:1\u2013248:16 (2015)","journal-title":"ACM Trans. Graph."},{"key":"8_CR68","doi-asserted-by":"crossref","unstructured":"von Marcard, T., Henschel, R., Black, M.J., Rosenhahn, B., Pons-Moll, G.: Recovering accurate 3D human pose in the wild using IMUs and a moving camera. In: European Conference on Computer Vision (2018)","DOI":"10.1007\/978-3-030-01249-6_37"},{"key":"8_CR69","doi-asserted-by":"publisher","first-page":"1533","DOI":"10.1109\/TPAMI.2016.2522398","volume":"38","author":"T Marcard von","year":"2016","unstructured":"von Marcard, T., Pons-Moll, G., Rosenhahn, B.: Human pose estimation from video and IMUs. Trans. Pattern Anal. Mach. Intell. (PAMI) 38, 1533\u20131547 (2016)","journal-title":"Trans. Pattern Anal. Mach. Intell. (PAMI)"},{"key":"8_CR70","doi-asserted-by":"crossref","unstructured":"von Marcard, T., Rosenhahn, B., Black, M.J., Pons-Moll, G.: Sparse inertial poser: automatic 3D human pose estimation from sparse IMUs. In: Computer Graphics Forum, pp. 349\u2013360 (2017)","DOI":"10.1111\/cgf.13131"},{"key":"8_CR71","doi-asserted-by":"crossref","unstructured":"Matusik, W., Buehler, C., Raskar, R., Gortler, S.J., McMillan, L.: Image-based visual hulls. In: Annual Conference on Computer Graphics and Interactive Techniques, pp. 369\u2013374 (2000)","DOI":"10.1145\/344779.344951"},{"key":"8_CR72","doi-asserted-by":"crossref","unstructured":"Mescheder, L., Oechsle, M., Niemeyer, M., Nowozin, S., Geiger, A.: Occupancy networks: learning 3D reconstruction in function space. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition. IEEE (2019)","DOI":"10.1109\/CVPR.2019.00459"},{"key":"8_CR73","doi-asserted-by":"crossref","unstructured":"Michalkiewicz, M., Pontes, J.K., Jack, D., Baktashmotlagh, M., Eriksson, A.: Deep level sets: implicit surface representations for 3D shape inference. arXiv preprint arXiv:1901.06802 (2019)","DOI":"10.1109\/ICCV.2019.00484"},{"key":"8_CR74","doi-asserted-by":"crossref","unstructured":"Natsume, R., et al.: SiCloPe: silhouette-based clothed people. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition. IEEE (2019)","DOI":"10.1109\/CVPR.2019.00461"},{"key":"8_CR75","doi-asserted-by":"crossref","unstructured":"Newcombe, R.A., Fox, D., Seitz, S.M.: DynamicFusion: reconstruction and tracking of non-rigid scenes in real-time. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 343\u2013352. IEEE (2015)","DOI":"10.1109\/CVPR.2015.7298631"},{"key":"8_CR76","doi-asserted-by":"crossref","unstructured":"Omran, M., Lassner, C., Pons-Moll, G., Gehler, P., Schiele, B.: Neural body fitting: unifying deep learning and model based human pose and shape estimation. In: International Conference on 3D Vision. IEEE (2018)","DOI":"10.1109\/3DV.2018.00062"},{"key":"8_CR77","doi-asserted-by":"crossref","unstructured":"Orts-Escolano, S., et al.: Holoportation: virtual 3D teleportation in real-time. In: Symposium on User Interface Software and Technology, pp. 741\u2013754 (2016)","DOI":"10.1145\/2984511.2984517"},{"key":"8_CR78","doi-asserted-by":"crossref","unstructured":"Park, J.J., Florence, P., Straub, J., Newcombe, R., Lovegrove, S.: DeepSDF: learning continuous signed distance functions for shape representation. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition. IEEE (2019)","DOI":"10.1109\/CVPR.2019.00025"},{"key":"8_CR79","doi-asserted-by":"crossref","unstructured":"Pavlakos, G., et al.: Expressive body capture: 3D hands, face, and body from a single image. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition. IEEE (2019)","DOI":"10.1109\/CVPR.2019.01123"},{"key":"8_CR80","doi-asserted-by":"crossref","unstructured":"Pavlakos, G., Zhu, L., Zhou, X., Daniilidis, K.: Learning to estimate 3D human pose and shape from a single color image. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition. IEEE (2018)","DOI":"10.1109\/CVPR.2018.00055"},{"key":"8_CR81","doi-asserted-by":"crossref","unstructured":"Pishchulin, L., et al.: DeepCut: joint subset partition and labeling for multi person pose estimation. In: IEEE Conference on Computer Vision and Pattern Recognition. IEEE (2016)","DOI":"10.1109\/CVPR.2016.533"},{"key":"8_CR82","doi-asserted-by":"crossref","unstructured":"Pons-Moll, G., Baak, A., Helten, T., M\u00fcller, M., Seidel, H.P., Rosenhahn, B.: Multisensor-fusion for 3D full-body human motion capture. In: IEEE Conference on Computer Vision and Pattern Recognition. IEEE (2010)","DOI":"10.1109\/CVPR.2010.5540153"},{"key":"8_CR83","doi-asserted-by":"crossref","unstructured":"Pons-Moll, G., Fleet, D.J., Rosenhahn, B.: Posebits for monocular human pose estimation. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 2345\u20132352. IEEE (2014)","DOI":"10.1109\/CVPR.2014.300"},{"issue":"4","key":"8_CR84","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3072959.3073711","volume":"36","author":"G Pons-Moll","year":"2017","unstructured":"Pons-Moll, G., Pujades, S., Hu, S., Black, M.J.: ClothCap: seamless 4D clothing capture and retargeting. ACM Trans. Graph. 36(4), 1\u201315 (2017)","journal-title":"ACM Trans. Graph."},{"key":"8_CR85","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1145\/2766993","volume":"34","author":"G Pons-Moll","year":"2015","unstructured":"Pons-Moll, G., Romero, J., Mahmood, N., Black, M.J.: Dyna: a model of dynamic human shape in motion. ACM Trans. Graph. 34, 120 (2015)","journal-title":"ACM Trans. Graph."},{"key":"8_CR86","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1007\/978-0-85729-997-0_9","volume-title":"Visual Analysis of Humans","author":"G Pons-Moll","year":"2011","unstructured":"Pons-Moll, G., Rosenhahn, B.: Model-based pose estimation. In: Moeslund, T., Hilton, A., Kr\u00fcger, V., Sigal, L. (eds.) Visual Analysis of Humans, pp. 139\u2013170. Springer, London (2011). https:\/\/doi.org\/10.1007\/978-0-85729-997-0_9"},{"key":"8_CR87","doi-asserted-by":"crossref","unstructured":"Pumarola, A., Sanchez, J., Choi, G., Sanfeliu, A., Moreno-Noguer, F.: 3DPeople: modeling the geometry of dressed humans. arXiv preprint arXiv:1904.04571 (2019)","DOI":"10.1109\/ICCV.2019.00233"},{"key":"8_CR88","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"509","DOI":"10.1007\/978-3-319-46454-1_31","volume-title":"Computer Vision \u2013 ECCV 2016","author":"H Rhodin","year":"2016","unstructured":"Rhodin, H., Robertini, N., Casas, D., Richardt, C., Seidel, H.-P., Theobalt, C.: General automatic human shape and motion capture using volumetric contour cues. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9909, pp. 509\u2013526. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46454-1_31"},{"key":"8_CR89","doi-asserted-by":"crossref","unstructured":"Robertini, N., Casas, D., Rhodin, H., Seidel, H.P., Theobalt, C.: Model-based outdoor performance capture. In: International Conference on 3D Vision. IEEE (2016)","DOI":"10.1109\/3DV.2016.25"},{"issue":"6","key":"8_CR90","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1145\/3130800.3130883","volume":"36","author":"J Romero","year":"2017","unstructured":"Romero, J., Tzionas, D., Black, M.J.: Embodied hands: modeling and capturing hands and bodies together. ACM Trans. Graph. 36(6), 245 (2017)","journal-title":"ACM Trans. Graph."},{"key":"8_CR91","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: IEEE International Conference on Computer Vision. IEEE (2019)","DOI":"10.1109\/ICCV.2019.00239"},{"issue":"3\u20134","key":"8_CR92","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1002\/cav.1579","volume":"25","author":"A Shapiro","year":"2014","unstructured":"Shapiro, A., et al.: Rapid avatar capture and simulation using commodity depth sensors. Comput. Anim. Virtual Worlds 25(3\u20134), 201\u2013211 (2014)","journal-title":"Comput. Anim. Virtual Worlds"},{"key":"8_CR93","doi-asserted-by":"crossref","unstructured":"Shysheya, A., et al.: Textured neural avatars. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 2387\u20132397. IEEE (2019)","DOI":"10.1109\/CVPR.2019.00249"},{"key":"8_CR94","unstructured":"Sigal, L., Balan, A., Black, M.J.: Combined discriminative and generative articulated pose and non-rigid shape estimation. In: Advances in Neural Information Processing Systems, pp. 1337\u20131344 (2007)"},{"key":"8_CR95","doi-asserted-by":"crossref","unstructured":"Sitzmann, V., Thies, J., Heide, F., Nie\u00dfner, M., Wetzstein, G., Zollh\u00f6fer, M.: DeepVoxels: learning persistent 3D feature embeddings. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition. IEEE (2019)","DOI":"10.1109\/CVPR.2019.00254"},{"key":"8_CR96","doi-asserted-by":"crossref","unstructured":"Slavcheva, M., Baust, M., Cremers, D., Ilic, S.: KillingFusion: non-rigid 3D reconstruction without correspondences. In: IEEE Conference on Computer Vision and Pattern Recognition, p. 7, no. 4. IEEE (2017)","DOI":"10.1109\/CVPR.2017.581"},{"key":"8_CR97","unstructured":"Sminchisescu, C., Telea, A.: Human pose estimation from silhouettes. A consistent approach using distance level sets. In: 10th International Conference on Computer Graphics, Visualization and Computer Vision (WSCG 2002) (2002)"},{"key":"8_CR98","unstructured":"Sminchisescu, C., Triggs, B.: Kinematic jump processes for monocular 3D human tracking. In: IEEE Conference on Computer Vision and Pattern Recognition, p. I. IEEE (2003)"},{"issue":"3","key":"8_CR99","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1109\/MCG.2007.68","volume":"27","author":"J Starck","year":"2007","unstructured":"Starck, J., Hilton, A.: Surface capture for performance-based animation. IEEE Comput. Graph. Appl. 27(3), 21\u201331 (2007)","journal-title":"IEEE Comput. Graph. Appl."},{"key":"8_CR100","doi-asserted-by":"crossref","unstructured":"Stoll, C., Hasler, N., Gall, J., Seidel, H.P., Theobalt, C.: Fast articulated motion tracking using a sums of gaussians body model. In: IEEE International Conference on Computer Vision, pp. 951\u2013958. IEEE (2011)","DOI":"10.1109\/ICCV.2011.6126338"},{"key":"8_CR101","unstructured":"Tao, Y., et al.: DoubleFusion: real-time capture of human performance with inner body shape from a depth sensor. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition. IEEE (2018)"},{"key":"8_CR102","unstructured":"Tao, Y., et al.: SimulCap: single-view human performance capture with cloth simulation. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition. IEEE (2019)"},{"key":"8_CR103","doi-asserted-by":"crossref","unstructured":"Taylor, C.J.: Reconstruction of articulated objects from point correspondences in a single uncalibrated image. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 677\u2013684. IEEE (2000)","DOI":"10.1006\/cviu.2000.0878"},{"key":"8_CR104","series-title":"Signals and Communication Technology","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1007\/978-3-540-72532-9_3","volume-title":"Three-Dimensional Television","author":"C Theobalt","year":"2008","unstructured":"Theobalt, C., Aguiar, E., Magnor, M.A., Seidel, H.P.: Reconstructing human shape, motion and appearance from multi-view video. In: Ozaktas, H.M., Onural, L. (eds.) Three-Dimensional Television. Signals and Communication Technology, pp. 29\u201357. Springer, Berlin (2008). https:\/\/doi.org\/10.1007\/978-3-540-72532-9_3"},{"key":"8_CR105","unstructured":"Theobalt, C., Carranza, J., Magnor, M.A.: Enhancing silhouette-based human motion capture with 3D motion fields. In: Proceedings of the 11th Pacific Conference on Computer Graphics and Applications, pp. 185\u2013193 (2003)"},{"key":"8_CR106","unstructured":"Tung, H.Y., Tung, H.W., Yumer, E., Fragkiadaki, K.: Self-supervised learning of motion capture. In: Advances in Neural Information Processing Systems, pp. 5236\u20135246 (2017)"},{"key":"8_CR107","doi-asserted-by":"crossref","unstructured":"Varol, G., et al.: BodyNet: volumetric inference of 3D human body shapes. In: European Conference on Computer Vision (2018)","DOI":"10.1007\/978-3-030-01234-2_2"},{"issue":"3","key":"8_CR108","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1145\/1360612.1360696","volume":"27","author":"D Vlasic","year":"2008","unstructured":"Vlasic, D., Baran, I., Matusik, W., Popovi\u0107, J.: Articulated mesh animation from multi-view silhouettes. ACM Trans. Graph. 27(3), 97 (2008)","journal-title":"ACM Trans. Graph."},{"key":"8_CR109","unstructured":"Wang, W., Qiangeng, X., Ceylan, D., Mech, R., Neumann, U.: DISN: deep implicit surface network for high-quality single-view 3D reconstruction. arXiv preprint arXiv:1905.10711 (2019)"},{"key":"8_CR110","unstructured":"Wang, Z., Simoncelli, E.P., Bovik, A.C.: Multiscale structural similarity for image quality assessment. In: Asilomar Conference on Signals, Systems & Computers, vol. 2, pp. 1398\u20131402 (2003)"},{"key":"8_CR111","doi-asserted-by":"crossref","unstructured":"Wei, S.E., Ramakrishna, V., Kanade, T., Sheikh, Y.: Convolutional pose machines. In: IEEE Conference on Computer Vision and Pattern Recognition. IEEE (2016)","DOI":"10.1109\/CVPR.2016.511"},{"key":"8_CR112","doi-asserted-by":"crossref","unstructured":"Weiss, A., Hirshberg, D., Black, M.J.: Home 3D body scans from noisy image and range data. In: IEEE International Conference on Computer Vision, pp. 1951\u20131958. IEEE (2011)","DOI":"10.1109\/ICCV.2011.6126465"},{"key":"8_CR113","doi-asserted-by":"crossref","unstructured":"Xiang, D., Joo, H., Sheikh, Y.: Monocular total capture: posing face, body, and hands in the wild. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 10965\u201310974. IEEE (2019)","DOI":"10.1109\/CVPR.2019.01122"},{"key":"8_CR114","first-page":"1","volume":"37","author":"W Xu","year":"2018","unstructured":"Xu, W., et al.: MonoPerfCap: human performance capture from monocular video. ACM Trans. Graph. 37, 1\u201315 (2018)","journal-title":"ACM Trans. Graph."},{"key":"8_CR115","unstructured":"Yao, P., Fang, Z., Wu, F., Feng, Y., Li, J.: DenseBody: directly regressing dense 3d human pose and shape from a single color image. arXiv preprint arXiv:1903.10153 (2019)"},{"key":"8_CR116","doi-asserted-by":"crossref","unstructured":"Zeng, M., Zheng, J., Cheng, X., Liu, X.: Templateless quasi-rigid shape modeling with implicit loop-closure. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 145\u2013152. IEEE (2013)","DOI":"10.1109\/CVPR.2013.26"},{"key":"8_CR117","doi-asserted-by":"crossref","unstructured":"Zhang, C., Pujades, S., Black, M.J., Pons-Moll, G.: Detailed, accurate, human shape estimation from clothed 3D scan sequences. In: IEEE Conference on Computer Vision and Pattern Recognition. IEEE (2017)","DOI":"10.1109\/CVPR.2017.582"},{"key":"8_CR118","doi-asserted-by":"crossref","unstructured":"Zhang, Q., Fu, B., Ye, M., Yang, R.: Quality dynamic human body modeling using a single low-cost depth camera. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 676\u2013683. IEEE (2014)","DOI":"10.1109\/CVPR.2014.92"},{"key":"8_CR119","doi-asserted-by":"crossref","unstructured":"Zheng, Z., Yu, T., Wei, Y., Dai, Q., Liu, Y.: DeepHuman: 3D human reconstruction from a single image. arXiv preprint arXiv:1903.06473 (2019)","DOI":"10.1109\/ICCV.2019.00783"},{"key":"8_CR120","doi-asserted-by":"crossref","unstructured":"Zhu, H., Zuo, X., Wang, S., Cao, X., Yang, R.: Detailed human shape estimation from a single image by hierarchical mesh deformation. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 4491\u20134500. IEEE (2019)","DOI":"10.1109\/CVPR.2019.00462"},{"key":"8_CR121","doi-asserted-by":"crossref","unstructured":"Zuffi, S., Kanazawa, A., Jacobs, D., Black, M.J.: 3D menagerie: modeling the 3D shape and pose of animals. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 5524\u20135532. IEEE (2017)","DOI":"10.1109\/CVPR.2017.586"}],"container-title":["Lecture Notes in Computer Science","Real VR \u2013 Immersive Digital Reality"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-41816-8_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,18]],"date-time":"2022-10-18T06:04:17Z","timestamp":1666073057000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-41816-8_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030418151","9783030418168"],"references-count":121,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-41816-8_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"3 March 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}