Feb. 28, 2024, 5:47 a.m. | Fan Yang, Tianyi Chen, Xiaosheng He, Zhongang Cai, Lei Yang, Si Wu, Guosheng Lin

cs.CV updates on arXiv.org arxiv.org

arXiv:2312.02209v3 Announce Type: replace
Abstract: Editable 3D-aware generation, which supports user-interacted editing, has witnessed rapid development recently. However, existing editable 3D GANs either fail to achieve high-accuracy local editing or suffer from huge computational costs. We propose AttriHuman-3D, an editable 3D human generation model, which address the aforementioned problems with attribute decomposition and indexing. The core idea of the proposed model is to generate all attributes (e.g. human body, hair, clothes and so on) in an overall attribute space with …

abstract accuracy arxiv avatar computational costs cs.cv development editing gans human indexing type

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