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arXiv · 2604.09692

Tipiano: Cascaded Piano Hand Motion Synthesis via Fingertip Priors

Joonhyung Bae·Kirak Kim·Hyeyoon Cho·Sein Lee·Yoon-Seok Choi·Hyeon Hur·Gyubin Lee·Akira Maezawa·Satoshi Obata·Jonghwa Park·Jaebum Park·Juhan Nam
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Abstract

Synthesizing realistic piano hand motions requires both precision and naturalness. Physics-based methods achieve precision but produce stiff motions; data-driven models learn natural dynamics but struggle with positional accuracy. Piano motion exhibits a natural hierarchy: fingertip positions are nearly deterministic given piano geometry and fingering, while wrist and intermediate joints offer stylistic freedom. We present [OURS], a four-stage framework exploiting this hierarchy: (1) statistics-based fingertip positioning, (2) FiLM-conditioned trajectory refinement, (3) wrist estimation, and (4) STGCN-based pose synthesis. We contribute expert-annotated fingerings for the F\"urElise dataset (153 pieces, ~10 hours). Experiments demonstrate F1 = 0.910, substantially outperforming diffusion baselines (F1 = 0.121), with user study (N=41) confirming quality approaching motion capture. Expert evaluation by professional pianists (N=5) identified anticipatory motion as the key remaining gap, providing concrete directions for future improvement.

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Joonhyung Bae, Kirak Kim, Hyeyoon Cho, Sein Lee, Yoon-Seok Choi, Hyeon Hur, Gyubin Lee, Akira Maezawa, Satoshi Obata, Jonghwa Park, Jaebum Park, Juhan Nam. 2026-04-06. Tipiano: Cascaded Piano Hand Motion Synthesis via Fingertip Priors. https://arxiv.org/abs/2604.09692

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