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4D Facial Expression Diffusion Model
April 16, 2024, 4:48 a.m. | Kaifeng Zou, Sylvain Faisan, Boyang Yu, S\'ebastien Valette, Hyewon Seo
cs.CV updates on arXiv.org arxiv.org
Abstract: Facial expression generation is one of the most challenging and long-sought aspects of character animation, with many interesting applications. The challenging task, traditionally having relied heavily on digital craftspersons, remains yet to be explored. In this paper, we introduce a generative framework for generating 3D facial expression sequences (i.e. 4D faces) that can be conditioned on different inputs to animate an arbitrary 3D face mesh. It is composed of two tasks: (1) Learning the generative …
arxiv cs.cv diffusion diffusion model facial expression type
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