Dance Dance ConvLSTM
This work addresses chart generation for rhythm game players, representing an incremental improvement over existing techniques.
The authors tackled the problem of automatic chart generation for Dance Dance Revolution by introducing a ConvLSTM-based model, which improved accuracy over the prior CNN-LSTM method.
\textit{Dance Dance Revolution} is a rhythm game 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. In 2017, the authors of Dance Dance Convolution (DDC) developed an algorithm for the automatic generation of \textit{Dance Dance Revolution} charts, utilizing a CNN-LSTM architecture. We introduce Dance Dance ConvLSTM (DDCL), a new method for the automatic generation of DDR charts using a ConvLSTM based model, which improves upon the DDC methodology and substantially increases the accuracy of chart generation.