Weng, YanlinWang, LvdiLi, XiaoChai, MengleiZhou, KunB. Levy, X. Tong, and K. Yin2015-02-282015-02-2820131467-8659https://doi.org/10.1111/cgf.12214In this paper we study the problem of hair interpolation: given two 3D hair models, we want to generate a sequence of intermediate hair models that transform from one input to another both smoothly and aesthetically pleasing. We propose an automatic method that efficiently calculates a many-to-many strand correspondence between two or more given hair models, taking into account the multi-scale clustering structure of hair. Experiments demonstrate that hair interpolation can be used for producing more vivid portrait morphing effects and enabling a novel example-based hair styling methodology, where a user can interactively create new hairstyles by continuously exploring a ''style space'' spanning multiple input hair models.