Design preserving garment transfer
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
A probabilistic model for component-based shape synthesis
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Fit and diverse: set evolution for inspiring 3D shape galleries
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Active co-analysis of a set of shapes
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
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Manually modeling of 3D garment is highly time-consuming and professional expertise demanding, and can only produce limited garments (Fig. 1(a)). The ability to create a diverse set of 3D garments is required with the trend of online fashion and apparel mass customization. This issue has been recently tackled with a fully automatic garment transfer algorithm [Brouet et al. 2012] based on pattern grading. Content creation techniques such as [Xu et al. 2012] introduce set evolution as a means for creative 3D shape modeling. However, current component assembly-based 3D shape modeling were just designed for discrete properties. An important observation is that style of many components garments can be characterized by the ratio of area and boundary length. Thus, we propose a simple but effective garment synthesis method that utilizes such a style description, instead of discretizing the style space. Results show that the method is able to produce various reasonable garments efficiently.