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Let’s all dance:Enhancing amateur dance motions

Computational Visual Media 2023年第3期9卷 531-550页

作者： Qiu Zhou Manyi Li Qiong Zeng Andreas Aristidou Xiaojing Zhang Lin Chen Changhe Tu School of Computer Science&Technology Shandong UniversityQingdao 266000China School of Software Shandong UniversityJinan 250101China Department of Computer Science University of CyprusNicosia 1678Cyprus CYENS Centre of Excellence Nicosia 1016Cyprus Qingdao Institute of Humanities and Social Sciences Shandong UniversityQingdao 266000China.

Professional dance is characterized by high impulsiveness,elegance,and aesthetic beauty.In order to reach the desired professionalism,it requires years of long and exhausting practice,good physical condition,musicality,but also,a good understanding of choreography.Capturing dance motions and transferring them to digital avatars is commonly used in the film and entertainment industries.However,so far,access to high-quality dance data is very limited,mainly due to the many practical difficulties in capturing the movements of dancers,making it prohibitive for largescale data acquisition.In this paper,we present a model that enhances the professionalism of amateur dance movements,allowing movement quality to be improved in both spatial and temporal domains.Our model consists of a dance-to-music alignment stage responsible for learning the optimal temporal alignment path between dance and music,and a dance-enhancement stage that injects features of professionalism in both spatial and temporal domains.To learn a homogeneous distribution and credible mapping between the heterogeneous professional and amateur datasets,we generate amateur data from professional dances taken from the AIST++dataset.We demonstrate the effectiveness of our method by comparing it with two baseline motion transfer methods via thorough qualitative visual controls,quantitative metrics,and a perceptual study.We also provide temporal and spatial module analysis to examine the mechanisms and necessity of key components of our framework.

关键词： animation music-to-motion alignment dance motion enhancement dance motion analysis

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