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Graph."],"published-print":{"date-parts":[[2022,12]]},"abstract":"<jats:p>Implicit radiance functions emerged as a powerful scene representation for reconstructing and rendering photo-realistic views of a 3D scene. These representations, however, suffer from poor editability. On the other hand, explicit representations such as polygonal meshes allow easy editing but are not as suitable for reconstructing accurate details in dynamic human heads, such as fine facial features, hair, teeth, and eyes. In this work, we present Neural Parameterization (NeP), a hybrid representation that provides the advantages of both implicit and explicit methods. NeP is capable of photo-realistic rendering while allowing fine-grained editing of the scene geometry and appearance. We first disentangle the geometry and appearance by parameterizing the 3D geometry into 2D texture space. We enable geometric editability by introducing an explicit linear deformation blending layer. The deformation is controlled by a set of sparse key points, which can be explicitly and intuitively displaced to edit the geometry. For appearance, we develop a hybrid 2D texture consisting of an explicit texture map for easy editing and implicit view and time-dependent residuals to model temporal and view variations. We compare our method to several reconstruction and editing baselines. The results show that the NeP achieves almost the same level of rendering accuracy while maintaining high editability.<\/jats:p>","DOI":"10.1145\/3550454.3555494","type":"journal-article","created":{"date-parts":[[2022,11,30]],"date-time":"2022-11-30T21:19:07Z","timestamp":1669843147000},"page":"1-15","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":13,"title":["Neural Parameterization for Dynamic Human Head Editing"],"prefix":"10.1145","volume":"41","author":[{"given":"Li","family":"Ma","sequence":"first","affiliation":[{"name":"The Hong Kong University of Science and Technology, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoyu","family":"Li","sequence":"additional","affiliation":[{"name":"Tencent AI Lab, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jing","family":"Liao","sequence":"additional","affiliation":[{"name":"City University of Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuan","family":"Wang","sequence":"additional","affiliation":[{"name":"Tencent AI Lab, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qi","family":"Zhang","sequence":"additional","affiliation":[{"name":"Tencent AI Lab, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jue","family":"Wang","sequence":"additional","affiliation":[{"name":"Tencent AI Lab, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pedro V.","family":"Sander","sequence":"additional","affiliation":[{"name":"The Hong Kong University of Science and Technology, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2022,11,30]]},"reference":[{"key":"e_1_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00589"},{"key":"e_1_2_2_2_1","unstructured":"Linchao Bao Xiangkai Lin Yajing Chen Haoxian Zhang Sheng Wang Xuefei Zhe Di Kang Haozhi Huang Xinwei Jiang Jue Wang et al. 2020. 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IEEE Transactions on Visualization and Computer Graphics (2021)."},{"key":"e_1_2_2_98_1","volume-title":"ImFace: A Nonlinear 3D Morphable Face Model with Implicit Neural Representations. arXiv preprint arXiv:2203.14510","author":"Zheng Mingwu","year":"2022","unstructured":"Mingwu Zheng, Hongyu Yang, Di Huang, and Liming Chen. 2022. ImFace: A Nonlinear 3D Morphable Face Model with Implicit Neural Representations. arXiv preprint arXiv:2203.14510 (2022)."},{"key":"e_1_2_2_99_1","volume-title":"Xu Chen, Marcel C B\u00fchler, Michael J Black, and Otmar Hilliges.","author":"Zheng Yufeng","year":"2021","unstructured":"Yufeng Zheng, Victoria Fern\u00e1ndez Abrevaya, Xu Chen, Marcel C B\u00fchler, Michael J Black, and Otmar Hilliges. 2021. IM Avatar: Implicit Morphable Head Avatars from Videos. arXiv preprint arXiv:2112.07471 (2021)."},{"key":"e_1_2_2_100_1","volume-title":"Stereo magnification: Learning view synthesis using multiplane images. arXiv preprint arXiv:1805.09817","author":"Zhou Tinghui","year":"2018","unstructured":"Tinghui Zhou, Richard Tucker, John Flynn, Graham Fyffe, and Noah Snavely. 2018. 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