# PianoMotion10M: Dataset and Benchmark for Hand Motion Generation in Piano Performance

Source: [PianoMotion10M: Dataset and Benchmark for Hand Motion Generation in Piano Performance](<https://www.sota2.com/research/paper/68fa771b1e209131cea71083>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-26T04:09:56.744Z

Authors: Qijun Gan, Song Wang, Shengtao Wu, Jianke Zhu

Published: 2024-06-13T17:05:23.000Z

## Abstract

Recently, artificial intelligence techniques for education have been received increasing attentions, while it still remains an open problem to design the effective music instrument instructing systems. Although key presses can be directly derived from sheet music, the transitional movements among key presses require more extensive guidance in piano performance. In this work, we construct a piano-hand motion generation benchmark to guide hand movements and fingerings for piano playing. To this end, we collect an annotated dataset, PianoMotion10M, consisting of 116 hours of piano playing videos from a bird's-eye view with 10 million annotated hand poses. We also introduce a powerful baseline model that generates hand motions from piano audios through a position predictor and a position-guided gesture generator. Furthermore, a series of evaluation metrics are designed to assess the performance of the baseline model, including motion similarity, smoothness, positional accuracy of left and right hands, and overall fidelity of movement distribution. Despite that piano key presses with respect to music scores or audios are already accessible, PianoMotion10M aims to provide guidance on piano fingering for instruction purposes. The source code and dataset can be accessed at https://github.com/agnJason/PianoMotion10M.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

- [Piano Motion Generation on PianoMotion10M short-sequence 1.0](<https://www.sota2.com/research/sota/piano-motion-generation-on-pianomotion10m-short-sequence-1-0.md>): Piano Motion Generation; PianoMotion10M short-sequence 1.0; FGD (Left Hand): 0.372.

- [Piano Motion Generation on PianoMotion10M long-sequence setting](<https://www.sota2.com/research/sota/piano-motion-generation-on-pianomotion10m-long-sequence-setting.md>): Piano Motion Generation; PianoMotion10M long-sequence setting; Left Hand FGD: 0.432.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2406.09326>)

[PDF](<https://arxiv.org/pdf/2406.09326.pdf>)