StructLDM: structured latent diffusion for 3D human generation
Recent 3D human generative models have achieved remarkable progress by learning 3D-aware GANs from 2D images. However, existing 3D human generative methods model humans in a compact 1D latent space, ignoring the articulated structure and semantics of human body topology. In this paper, we explore...
| Principais autores: | , , |
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| Outros Autores: | |
| Formato: | Conference Paper |
| Idioma: | English |
| Publicado em: |
2024
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| Assuntos: | |
| Acesso em linha: | https://hdl.handle.net/10356/180233 http://arxiv.org/abs/2404.01241v3 |