Styling evolution for tight-fitting garments

Published in IEEE Transactions on Visualization and Computer Graphics, 2015

Abstract: We present an evolution method for designing the styling curves of garments. The procedure of evolution is driven by aesthetics-inspired scores to evaluate the quality of styling designs, where the aesthetic considerations are represented in the form of streamlines on human bodies. A dual representation is introduced in our platform to process the styling curves of designs, based on which robust methods for realizing the operations of evolution are developed. Starting from a given set of styling designs on human bodies, we demonstrate the effectiveness of set evolution inspired by aesthetic factors. The evolution is adaptive to the change of aesthetic inspirations. By this adaptation, our platform can automatically generate new designs fulfilling the demands of variations in different human bodies and poses.

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Recommended citation: Tsz-Ho Kwok, Yan-Qiu Zhang, Charlie C.L. Wang, Yong-Jin Liu, Kai Tang (2016) Styling evolution for tight-fitting garments. IEEE Transactions on Visualization and Computer Graphics, Vol. 22, No. 5, pp. 1580-1591, 2016.