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In contrast to previous work, our controllable 3D character displays dynamics, e.g., the swing of the skirt, dependent on skeletal body motion in an efficient data-driven way, without requiring complex physics simulation. Our character model also features a learned dynamic texture model that accounts for photo-realistic motion-dependent appearance details, as well as view-dependent lighting effects. During training, we do not need to resort to difficult dynamic 3D capture of the human; instead we can train our model entirely from multi-view video in a weakly supervised manner. To this end, we propose a parametric and differentiable character representation which allows us to model coarse and fine dynamic deformations, e.g., garment wrinkles, as explicit spacetime coherent mesh geometry that is augmented with high-quality dynamic textures dependent on motion and view point. As input to the model, only an arbitrary 3D skeleton motion is required, making it directly compatible with the established 3D animation pipeline. We use a novel graph convolutional network architecture to enable motion-dependent deformation learning of body and clothing, including dynamics, and a neural generative dynamic texture model creates corresponding dynamic texture maps. We show that by merely providing new skeletal motions, our model creates motion-dependent surface deformations, physically plausible dynamic clothing deformations, as well as video-realistic surface textures at a much higher level of detail than previous state of the art approaches, and even in real-time.<\/jats:p>","DOI":"10.1145\/3450626.3459749","type":"journal-article","created":{"date-parts":[[2021,7,20]],"date-time":"2021-07-20T00:04:26Z","timestamp":1626739466000},"page":"1-16","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":147,"title":["Real-time deep dynamic characters"],"prefix":"10.1145","volume":"40","author":[{"given":"Marc","family":"Habermann","sequence":"first","affiliation":[{"name":"Max Planck Institute for Informatics"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lingjie","family":"Liu","sequence":"additional","affiliation":[{"name":"Max Planck Institute for Informatics"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weipeng","family":"Xu","sequence":"additional","affiliation":[{"name":"Facebook Reality Labs"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Zollhoefer","sequence":"additional","affiliation":[{"name":"Facebook Reality Labs"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gerard","family":"Pons-Moll","sequence":"additional","affiliation":[{"name":"Max Planck Institute for Informatics"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christian","family":"Theobalt","sequence":"additional","affiliation":[{"name":"Max Planck Institute for Informatics"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2021,7,19]]},"reference":[{"key":"e_1_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13632"},{"key":"e_1_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00127"},{"key":"e_1_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2018.00022"},{"key":"e_1_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00875"},{"key":"e_1_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3197517.3201300"},{"key":"e_1_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00552"},{"key":"e_1_2_2_7_1","unstructured":"Blender 2020. 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Yu Tao, Zerong Zheng, Yuan Zhong, Jianhui Zhao, Dai Quionhai, Gerard Pons-Moll, and Yebin Liu. 2019. SimulCap : Single-View Human Performance Capture with Cloth Simulation. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR)."},{"key":"e_1_2_2_84_1","unstructured":"TheCaptury 2020. The Captury. http:\/\/www.thecaptury.com\/.  TheCaptury 2020. The Captury. http:\/\/www.thecaptury.com\/."},{"key":"e_1_2_2_85_1","doi-asserted-by":"publisher","DOI":"10.1145\/3306346.3323035"},{"key":"e_1_2_2_86_1","unstructured":"Treedys 2020. Treedys. https:\/\/www.treedys.com\/.  Treedys 2020. Treedys. https:\/\/www.treedys.com\/."},{"key":"e_1_2_2_87_1","volume-title":"Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Deforming Scene from Monocular Video. https:\/\/arxiv.org\/abs\/2012.12247","author":"Tretschk Edgar","year":"2020","unstructured":"Edgar Tretschk , Ayush Tewari , Vladislav Golyanik , Michael Zollh\u00f6fer , Christoph Lassner , and Christian Theobalt . 2020. Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Deforming Scene from Monocular Video. https:\/\/arxiv.org\/abs\/2012.12247 ( 2020 ). Edgar Tretschk, Ayush Tewari, Vladislav Golyanik, Michael Zollh\u00f6fer, Christoph Lassner, and Christian Theobalt. 2020. Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Deforming Scene from Monocular Video. https:\/\/arxiv.org\/abs\/2012.12247 (2020)."},{"key":"e_1_2_2_88_1","doi-asserted-by":"publisher","DOI":"10.5244\/C.28.8"},{"key":"e_1_2_2_89_1","doi-asserted-by":"publisher","DOI":"10.1145\/1778765.1778844"},{"key":"e_1_2_2_90_1","unstructured":"Ting-Chun Wang Ming-Yu Liu Jun-Yan Zhu Guilin Liu Andrew Tao Jan Kautz and Bryan Catanzaro. 2018a. Video-to-Video Synthesis. In Advances in Neural Information Processing Systems (NeurIPS). 1152--1164.  Ting-Chun Wang Ming-Yu Liu Jun-Yan Zhu Guilin Liu Andrew Tao Jan Kautz and Bryan Catanzaro. 2018a. Video-to-Video Synthesis. In Advances in Neural Information Processing Systems (NeurIPS). 1152--1164."},{"key":"e_1_2_2_91_1","unstructured":"Ting-Chun Wang Ming-Yu Liu Jun-Yan Zhu Andrew Tao Jan Kautz and Bryan Catanzaro. 2018b. High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs. In CVPR.  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Pose-Guided Human Animation from a Single Image in the Wild. arXiv:2012.03796 [cs.CV]"},{"key":"e_1_2_2_97_1","volume-title":"Analyzing and Improving Neural Radiance Fields. https:\/\/arxiv.org\/abs\/2010.07492","author":"Zhang Kai","year":"2020","unstructured":"Kai Zhang , Gernot Riegler , Noah Snavely , and Vladlen Koltun . 2020a. NERF++ : Analyzing and Improving Neural Radiance Fields. https:\/\/arxiv.org\/abs\/2010.07492 ( 2020 ). Kai Zhang, Gernot Riegler, Noah Snavely, and Vladlen Koltun. 2020a. NERF++: Analyzing and Improving Neural Radiance Fields. https:\/\/arxiv.org\/abs\/2010.07492 (2020)."},{"key":"e_1_2_2_98_1","volume-title":"Mitra","author":"Zhang Meng","year":"2020","unstructured":"Meng Zhang , Tuanfeng Wang , Duygu Ceylan , and Niloy J . Mitra . 2020 b. Deep Detail Enhancement for Any Garment . arXiv:2008.04367 [cs.GR] Meng Zhang, Tuanfeng Wang, Duygu Ceylan, and Niloy J. Mitra. 2020b. 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C Lawrence Zitnick, Sing Bing Kang, Matthew Uyttendaele, Simon Winder, and Richard Szeliski. 2004. High-quality video view interpolation using a layered representation. In ACM Transactions on Graphics (TOG), Vol. 23. 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