Feb. 12, 2024, 5:45 a.m. | Zhenglin Zhou Fan Ma Hehe Fan Yi Yang

cs.CV updates on arXiv.org arxiv.org

Creating digital avatars from textual prompts has long been a desirable yet challenging task. Despite the promising outcomes obtained through 2D diffusion priors in recent works, current methods face challenges in achieving high-quality and animated avatars effectively. In this paper, we present $\textbf{HeadStudio}$, a novel framework that utilizes 3D Gaussian splatting to generate realistic and animated avatars from text prompts. Our method drives 3D Gaussians semantically to create a flexible and achievable appearance through the intermediate FLAME representation. Specifically, we …

animated avatars challenges cs.cv current diffusion digital digital avatars face framework head novel paper prompts quality text textual through

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