Semi-Supervised Learning for In-Game Expert-Level Music-to-Dance Translation
Yinglin Duan,
Tianyang Shi,
Zhengxia Zou
et al.
Abstract:Music-to-dance translation is a brand-new and powerful feature in recent role-playing games. Players can now let their characters dance along with specified music clips and even generate fan-made dance videos. Previous works of this topic consider music-to-dance as a supervised motion generation problem based on time-series data. However, these methods suffer from limited training data pairs and the degradation of movements. This paper provides a new perspective for this task where we re-formulate the translat… Show more
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