用Transformer自动生成节奏游戏舞步谱，效率更高。
ITGPT: A Transformer Based Architecture for the Generation of Dance Dance Revolution and In the Groove Charts
- 基于Transformer架构，自动学习音乐与舞步对应关系
- 生成准确率显著提升，计算成本更低
- 适合游戏开发、自动化内容创作人群
《Dance Dance Revolution》和《In the Groove》是包含歌曲与配套舞步（称为谱面）的节奏游戏。玩家需根据歌曲谱面，在舞蹈垫上按节奏踩踏箭头。手动制作谱面耗时费力，推动了自动化需求。本文提出ITGPT，一种基于Transformer的谱面生成新架构，在生成准确率和计算成本方面相比前代方法有显著改进。
原文摘要 · Abstract (English)
Dance Dance Revolution and In the Groove are rhythm games consisting of songs and accompanying choreography, referred to as charts. Players press arrows on a device referred to as a dance pad in time with steps determined by the song's chart. The process of manual chart generation is timestaking and difficult, motivating interest in automation. We propose ITGPT, a new transformer based architecture for the generation of DDR/ITG charts, and demonstrate significant improvements to generation accuracy and computational cost in comparison to predecessor work.
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