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Advances in 3D scanning technology allow us to create realistic virtual avatars from full body 3D scan data.  However, negative reactions to some realistic computer generated humans suggest that this approach might  not always provide the most appealing results. Using styles derived from existing popular character designs,  we present a novel automatic stylization technique for body shape and colour information based on a statistical  3D model of human bodies. We investigate whether such stylized body shapes result in increased perceived  appeal with two different experiments: One focuses on body shape alone, the other investigates the additional  role of surface colour and lighting. Our results consistently show that the most appealing avatar is a partially  stylized one. Importantly, avatars with high stylization or no stylization at all were rated to have the least  appeal. The inclusion of colour information and improvements to render quality had no significant effect on  the overall perceived appeal of the avatars, and we observe that the body shape primarily drives the change  in appeal ratings. For body scans with colour information, we found that a partially stylized avatar was most  effective, increasing average appeal ratings by approximately 34%.

Appealing Female Avatars from 3D Body Scans: Perceptual Effects of Stylization