Joint2Human: High-quality 3D Human Generation via Compact Spherical Embedding of 3D Joints

arXiv:2312.08591v2 Announce Type: replace
Abstract: 3D human generation is increasingly significant in various applications. However, the direct use of 2D generative methods in 3D generation often results in losing local details, while methods that reconstruct geometry from generated images struggle with global view consistency. In this work, we introduce Joint2Human, a novel method that leverages 2D diffusion models to generate detailed 3D human geometry directly, ensuring both global structure and local details. To achieve this, we employ the Fourier occupancy …

arxiv compact cs.cv embedding human quality type via