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AvatarGen: a 3D Generative Model for Animatable Human Avatars. (arXiv:2208.00561v1 [cs.CV])
Aug. 2, 2022, 2:13 a.m. | Jianfeng Zhang, Zihang Jiang, Dingdong Yang, Hongyi Xu, Yichun Shi, Guoxian Song, Zhongcong Xu, Xinchao Wang, Jiashi Feng
cs.CV updates on arXiv.org arxiv.org
Unsupervised generation of clothed virtual humans with various appearance and
animatable poses is important for creating 3D human avatars and other AR/VR
applications. Existing methods are either limited to rigid object modeling, or
not generative and thus unable to synthesize high-quality virtual humans and
animate them. In this work, we propose AvatarGen, the first method that enables
not only non-rigid human generation with diverse appearance but also full
control over poses and viewpoints, while only requiring 2D images for training. …
More from arxiv.org / cs.CV updates on arXiv.org
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