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--- |
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license: cc-by-nc-4.0 |
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tags: |
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- 3D |
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- motion |
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- music |
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- piano |
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pretty_name: FürElise |
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--- |
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# FürElise: Capturing and Physically Synthesizing Hand Motions of Piano Performance |
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This hosts the [FürElise](https://for-elise.github.io/) dataset, which contains 10 hours, 153 pieces of piano music performed by 15 elite-level pianists, along with synchronized audio and key pressing events. |
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# Getting Started |
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To download the dataset and the related scripts, first run |
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``` |
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git lfs install |
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# We skip the raw dataset.zip because it's too large |
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GIT_LFS_SKIP_SMUDGE=1 git clone [email protected]:datasets/rcwang/for_elise |
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``` |
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And then download dataset.zip |
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``` |
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cd for_elise |
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sh ./download_data.sh |
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``` |
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# 3D Visualizer |
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We provide a web-based 3D visualizer of our dataset under `visualizer/` which has the same functionality as the one you see in the [project website](https://for-elise.github.io/). You can run it with the following commands: |
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``` |
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cd visualizer |
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python server.py |
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``` |
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Then you can access the visualizer by visiting `http://127.0.0.1:8080`. You need `flask` and `numpy` to run the visualizer. |
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For some long pieces, it might take several seconds to initialize the visualizer. |
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# Dataset structure |
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The metadata for all 153 pieces can be found in `metadata.json`: |
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``` |
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[ |
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{ |
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"name": "Concerto in D Minor, BWV 1052: I. Allegro", |
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"composer": "J.S. Bach", |
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"piece_id": 0, |
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"subject_id": 0 |
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}, |
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... |
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] |
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``` |
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Motion data for each music piece is stored in a single subdirectory under `dataset/`. The motion data is stored frame by frame with FPS 59.94. |
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``` |
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piece_id # Directory |
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├── motion.pkl # Pickle file of a dictionary storing 3D hand motion data |
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│ ├── left # Motion data for the left hand |
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│ │ ├── joints # Nx21x3, joint locations for every frame |
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│ │ ├── mano_params # MANO hand parameters for each frame |
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│ │ │ ├── global_translation # Nx3 |
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│ │ │ ├── global_rotation # Nx3x3 |
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│ │ │ ├── pose # Nx45 |
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│ │ │ ├── shape # 10 |
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│ │ │ └── vertices # Nx778x3 |
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│ ├── right # Motion data for the right hand |
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│ │ ├── joints # Nx21x3, joint locations for every frame |
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│ │ ├── mano_params # MANO hand parameters for each frame |
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│ │ │ ├── global_translation # Nx3 |
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│ │ │ ├── global_rotation # Nx3x3 |
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│ │ │ ├── pose # Nx45 |
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│ │ │ ├── shape # 10 |
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│ │ │ └── vertices # Nx778x3 |
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├── midi.mid # Synchronized MIDI file recorded during performance |
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├── audio.mp3 # Synchronized audio synthesized from the MIDI file |
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└── vis # Used for the 3D visualizer |
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├── metadata.json |
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└── pressed_keys.pkl |
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``` |
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# Licensing |
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This dataset is released under the [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) license. |
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# Cite |
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``` |
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@inproceedings{wang2024piano, |
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title = {FürElise: Capturing and Physically Synthesizing Hand Motions of Piano Performance}, |
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author = {Ruocheng Wang and Pei Xu and Haochen Shi and Elizabeth Schumann and C. Karen Liu}, |
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booktitle = {SIGGRAPH Asia 2024}, |
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year = {2024} |
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} |
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``` |
