DivAvatar: Diverse 3D Avatar Generation with a Single Prompt

arXiv:2402.17292v1 Announce Type: new
Abstract: Text-to-Avatar generation has recently made significant strides due to advancements in diffusion models. However, most existing work remains constrained by limited diversity, producing avatars with subtle differences in appearance for a given text prompt. We design DivAvatar, a novel framework that generates diverse avatars, empowering 3D creatives with a multitude of distinct and richly varied 3D avatars from a single text prompt. Different from most existing work that exploits scene-specific 3D representations such as NeRF, …

abstract arxiv avatar avatars cs.cv design differences diffusion diffusion models diverse diversity framework novel prompt text type work