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SELECTED PROJECTGenerative AI
Procedural osu! Beatmap Generation with Rectified Flow
A Rectified Flow diffusion model for procedural osu! beatmap generation and informal comparative evaluation.
62%INFORMAL PREFERENCE
- Python
- PyTorch
- Rectified Flow
Objective
Explore diffusion-based generation as a way to produce playable osu! beatmaps procedurally.
System
Trained a diffusion model with Rectified Flow using Python and PyTorch, then compared its generated maps with outputs from the osu-dreamer project.
Outcome
Across 52 informal A/B comparisons, maps from this model were preferred in 62% of comparisons. This result is exploratory user feedback rather than a formal user study.