# ITGPT: A Transformer Based Architecture for the Generation of Dance Dance Revolution and In the Groove Charts

arXiv: https://arxiv.org/abs/2607.14148 · HTML: https://mlsanity.com/paper/2607.14148/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 8 of its 20 references that are in the map.
- First posted on arXiv 14 Jul 2026.

## Builds on (most cited first, 8 of 8)

- [SoundStream: An End-to-End Neural Audio Codec](https://mlsanity.com/paper/2107.03312/) (2021)
- [High Fidelity Neural Audio Compression](https://mlsanity.com/paper/2210.13438/) (2022)
- [High-Fidelity Audio Compression with Improved RVQGAN](https://mlsanity.com/paper/2306.06546/) (2023)
- [ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training](https://mlsanity.com/paper/2001.04063/) (2020)
- [TaikoNation: Patterning-focused Chart Generation for Rhythm Action Games](https://mlsanity.com/paper/2107.12506/) (2021)
- [GenerationMania: Learning to Semantically Choreograph](https://mlsanity.com/paper/1806.11170/) (2018)
- [Gen'eLive! Generating Rhythm Actions in Love Live!](https://mlsanity.com/paper/2202.12823/) (2022)
- [Beat-Aligned Spectrogram-to-Sequence Generation of Rhythm-Game Charts](https://mlsanity.com/paper/2311.13687/) (2023)

## Abstract (arXiv)

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.