{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T07:20:13Z","timestamp":1743060013042,"version":"3.40.3"},"publisher-location":"Cham","reference-count":43,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030110116"},{"type":"electronic","value":"9783030110123"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[[2019]]},"DOI":"10.1007\/978-3-030-11012-3_32","type":"book-chapter","created":{"date-parts":[[2019,1,28]],"date-time":"2019-01-28T17:50:19Z","timestamp":1548697819000},"page":"409-425","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Towards Learning a Realistic Rendering of Human Behavior"],"prefix":"10.1007","author":[{"given":"Patrick","family":"Esser","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Johannes","family":"Haux","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Timo","family":"Milbich","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bj\u00f6rn","family":"Ommer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,1,29]]},"reference":[{"key":"32_CR1","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 (CVPR) (2015)","DOI":"10.1109\/CVPR.2015.7298623"},{"key":"32_CR2","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 Conference on Computer Vision and Pattern Recognition (2018)","DOI":"10.1109\/CVPR.2018.00875"},{"issue":"3","key":"32_CR3","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":"32_CR4","doi-asserted-by":"crossref","unstructured":"Balakrishnan, G., Zhao, A., Dalca, A.V., Durand, F., Guttag, J.: Synthesizing images of humans in unseen poses. arXiv preprint arXiv:1804.07739 (2018)","DOI":"10.1109\/CVPR.2018.00870"},{"key":"32_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"326","DOI":"10.1007\/978-3-642-15561-1_24","volume-title":"Computer Vision \u2013 ECCV 2010","author":"C Cagniart","year":"2010","unstructured":"Cagniart, C., Boyer, E., Ilic, S.: Probabilistic deformable surface tracking from multiple videos. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010. LNCS, vol. 6314, pp. 326\u2013339. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-15561-1_24"},{"key":"32_CR6","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: CVPR (2017)","DOI":"10.1109\/CVPR.2017.143"},{"key":"32_CR7","doi-asserted-by":"crossref","unstructured":"Carranza, J., Theobalt, C., Magnor, M.A., Seidel, H.-P.: Free-viewpoint video of human actors. In: ACM SIGGRAPH 2003 Papers (2003)","DOI":"10.1145\/1201775.882309"},{"key":"32_CR8","unstructured":"Chen, L.-C., Papandreou, G., Kokkinos, I., Murphy, K., Yuille, A.L.: DeepLab: semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs. arXiv e-prints, June 2016"},{"issue":"3","key":"32_CR9","doi-asserted-by":"publisher","first-page":"98:1","DOI":"10.1145\/1360612.1360697","volume":"27","author":"E de Aguiar","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), 98:1\u201398:10 (2008). Article No. 98","journal-title":"ACM Trans. Graph."},{"key":"32_CR10","doi-asserted-by":"crossref","unstructured":"Esser, P., Sutter, E., Ommer, B.: A variational U-Net for conditional appearance and shape generation. arXiv preprint arXiv:1804.04694 (2018)","DOI":"10.1109\/CVPR.2018.00923"},{"key":"32_CR11","unstructured":"Goodfellow, I., et al.: Generative adversarial nets. In: Advances in Neural Information Processing Systems (NIPS) (2014)"},{"issue":"2","key":"32_CR12","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"},{"issue":"4","key":"32_CR13","doi-asserted-by":"publisher","first-page":"42:1","DOI":"10.1145\/3072959.3073663","volume":"36","author":"D Holden","year":"2017","unstructured":"Holden, D., Komura, T., Saito, J.: Phase-functioned neural networks for character control. ACM Trans. Graph. 36(4), 42:1\u201342:13 (2017). Article No. 42","journal-title":"ACM Trans. Graph."},{"key":"32_CR14","doi-asserted-by":"crossref","unstructured":"Isola, P., Zhu, J.-Y., Zhou, T., Efros, A.A.: Image-to-image translation with conditional adversarial networks. arXiv (2016)","DOI":"10.1109\/CVPR.2017.632"},{"key":"32_CR15","doi-asserted-by":"crossref","unstructured":"Izadi, S., et al.: KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera. In: Proceedings of the 24th Annual ACM Symposium on User Interface Software and Technology, pp. 559\u2013568. ACM (2011)","DOI":"10.1145\/2047196.2047270"},{"key":"32_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"694","DOI":"10.1007\/978-3-319-46475-6_43","volume-title":"Computer Vision \u2013 ECCV 2016","author":"J Johnson","year":"2016","unstructured":"Johnson, J., Alahi, A., Fei-Fei, L.: Perceptual losses for real-time style transfer and super-resolution. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9906, pp. 694\u2013711. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46475-6_43"},{"key":"32_CR17","unstructured":"Karras, T., Aila, T., Laine, S., Lehtinen, J.: Progressive growing of GANs for improved quality, stability, and variation. In: Proceedings of the International Conference on Learning Representations (ICLR) (2018)"},{"key":"32_CR18","unstructured":"Kingma, D.P., Welling, M.: Auto-encoding variational bayes. arXiv preprint arXiv:1312.6114 (2013)"},{"key":"32_CR19","doi-asserted-by":"crossref","unstructured":"Lassner, C., Pons-Moll, G., Gehler, P.V.: A generative model of people in clothing. In: Proceedings of the IEEE International Conference on Computer Vision, vol. 6 (2017)","DOI":"10.1109\/ICCV.2017.98"},{"issue":"6","key":"32_CR20","first-page":"187:1","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), 187:1\u2013187:9 (2013). Article No. 187","journal-title":"ACM Trans. Graph."},{"key":"32_CR21","doi-asserted-by":"crossref","unstructured":"Lin, T.-Y., et al.: Microsoft COCO: common objects in context. ArXiv e-prints, May 2014","DOI":"10.1007\/978-3-319-10602-1_48"},{"issue":"6","key":"32_CR22","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). Article No. 248. Proceedings of the SIGGRAPH Asia","journal-title":"ACM Trans. Graph."},{"key":"32_CR23","doi-asserted-by":"crossref","unstructured":"Ma, L., Sun, Q., Georgoulis, S., Gool, L.V., Schiele, B., Fritz, M.: Disentangled person image generation. In: Conference on Computer Vision and Pattern Recognition (2018)","DOI":"10.1109\/CVPR.2018.00018"},{"issue":"4","key":"32_CR24","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3072959.3073596","volume":"36","author":"Dushyant Mehta","year":"2017","unstructured":"Mehta, D., et al.: VNect: real-time 3D human pose estimation with a single RGB camera. ACM Trans. Graph. 36(4), 14 p. (2017). Article No. 44. https:\/\/doi.org\/10.1145\/3072959.3073596","journal-title":"ACM Transactions on Graphics"},{"key":"32_CR25","unstructured":"Mirza, M., Osindero, S.: Conditional generative adversarial nets. CoRR, abs\/1411.1784 (2014)"},{"key":"32_CR26","doi-asserted-by":"crossref","unstructured":"Newcombe, R.A., et al.: KinectFusion: real-time dense surface mapping and tracking. In: Proceedings of the 2011 10th IEEE International Symposium on Mixed and Augmented Reality (2011)","DOI":"10.1109\/ISMAR.2011.6092378"},{"key":"32_CR27","doi-asserted-by":"crossref","unstructured":"Popa, A., Zanfir, M., Sminchisescu, C.: Deep multitask architecture for integrated 2D and 3D human sensing. In: CVPR (2017)","DOI":"10.1109\/CVPR.2017.501"},{"key":"32_CR28","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"},{"issue":"3\u20134","key":"32_CR29","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. Animat. Virtual Worlds 25(3\u20134), 201\u2013211 (2014)","journal-title":"Comput. Animat. Virtual Worlds"},{"key":"32_CR30","doi-asserted-by":"crossref","unstructured":"Siarohin, A., Sangineto, E., Lathuiliere, S., Sebe, N.: Deformable GANs for pose-based human image generation. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2018)","DOI":"10.1109\/CVPR.2018.00359"},{"key":"32_CR31","doi-asserted-by":"crossref","unstructured":"Tom\u00e8, D., Russell, C., Agapito, L.: Lifting from the deep: convolutional 3D pose estimation from a single image. In: CVPR (2017)","DOI":"10.1109\/CVPR.2017.603"},{"key":"32_CR32","doi-asserted-by":"crossref","unstructured":"Tran, L., Yin, X., Liu, X.: Disentangled representation learning GAN for pose-invariant face recognition. In: Proceeding of IEEE Computer Vision and Pattern Recognition (2017)","DOI":"10.1109\/CVPR.2017.141"},{"key":"32_CR33","doi-asserted-by":"crossref","unstructured":"Tulyakov, S., Liu, M.-Y., Yang, X., Kautz, J.: MoCoGan: decomposing motion and content for video generation. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2018)","DOI":"10.1109\/CVPR.2018.00165"},{"key":"32_CR34","unstructured":"Ulyanov, D., Lebedev, V., Vedaldi, A., Lempitsky, V.: Texture networks: feed-forward synthesis of textures and stylized images. In: Proceedings of the 33rd International Conference on Machine Learning (2016)"},{"key":"32_CR35","unstructured":"Vondrick, C., Pirsiavash, H., Torralba, A.: Generating videos with scene dynamics. In: Advances in Neural Information Processing Systems (2016)"},{"issue":"4","key":"32_CR36","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TIP.2003.819861","volume":"13","author":"Z Wang","year":"2004","unstructured":"Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13(4), 600\u2013612 (2004)","journal-title":"IEEE Trans. Image Process."},{"key":"32_CR37","doi-asserted-by":"crossref","unstructured":"Zeng, M., Zheng, J., Cheng, X., Liu, X.: Templateless quasi-rigid shape modeling with implicit loop-closure. In: CVPR (2013)","DOI":"10.1109\/CVPR.2013.26"},{"key":"32_CR38","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. arXiv preprint (2018)","DOI":"10.1109\/CVPR.2018.00068"},{"key":"32_CR39","doi-asserted-by":"crossref","unstructured":"Zhang, W., Zhu, M., Derpanis, K.: From actemes to action: a strongly-supervised representation for detailed action understanding. In: International Conference on Computer Vision (ICCV) (2013)","DOI":"10.1109\/ICCV.2013.280"},{"key":"32_CR40","doi-asserted-by":"crossref","unstructured":"Zhou, X., Huang, Q., Sun, X., Xue, X., Wei, Y.: Towards 3D human pose estimation in the wild: a weakly-supervised approach. In: IEEE International Conference on Computer Vision (ICCV) (2017)","DOI":"10.1109\/ICCV.2017.51"},{"key":"32_CR41","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"597","DOI":"10.1007\/978-3-319-46454-1_36","volume-title":"Computer Vision \u2013 ECCV 2016","author":"J-Y Zhu","year":"2016","unstructured":"Zhu, J.-Y., Kr\u00e4henb\u00fchl, P., Shechtman, E., Efros, A.A.: Generative visual manipulation on the natural image manifold. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9909, pp. 597\u2013613. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46454-1_36"},{"key":"32_CR42","doi-asserted-by":"crossref","unstructured":"Zhu, J.-Y., Park, T., Isola, P., Efros, A.A.: Unpaired image-to-image translation using cycle-consistent adversarial networkss. In: 2017 IEEE International Conference on Computer Vision (ICCV) (2017)","DOI":"10.1109\/ICCV.2017.244"},{"key":"32_CR43","doi-asserted-by":"crossref","unstructured":"Zuffi, S., Black, M.J.: The stitched puppet: a graphical model of 3D human shape and pose. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015) (2015)","DOI":"10.1109\/CVPR.2015.7298976"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2018 Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-11012-3_32","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,28]],"date-time":"2023-01-28T03:15:34Z","timestamp":1674875734000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-11012-3_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030110116","9783030110123"],"references-count":43,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-11012-3_32","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"29 January 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Munich","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 September 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eccv2018.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}