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SingingHead

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The SingingHead dataset is available for non-commercial research purposes only. You agree not to reproduce, modified, duplicate, copy, sell, trade, resell or exploit any portion of the images and any portion of the derived data for commercial purposes. You agree not to further copy, publish or distribute any portion of the SingingHead dataset to any third party for any purpose. Except, for internal use at a single site within the same organization it is allowed to make copies of the dataset. Shanghai Jiao Tong University reserves the right to terminate your access to the SingingHead dataset at any time.

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SingingHead Dataset

Overview

The SingingHead dataset is a large-scale 4D dataset for singing head animation. It contains more than 27 hours of synchronized singing video, 3D facial motion, singing audio, and background music collected from 76 subjects. The video is captured in 30fps and cropped into a resolution of 1024×1024. The 3D facial motion is represented by 59-dimensional FLAME parameters (50 expression + 3 neck pose + 3 jaw pose). All the data sequences are cut into equal-length 8s segments, resulting in a total of 12196 sequences.

Data Structure 

SingingHead
├── train.txt
├── val.txt
├── test.txt
├── video_seqs.zip
│   ├── id0_10_0_0.mp4
│   └── ...
├── flame_seqs.zip
│   ├── id0_10_0_0.pkl
│   └── ...
├── audio_seqs.zip
│   ├── id0_10_0_0.wav
│   └── ...
└── bgm_seqs.zip
    ├── id0_10_0_0_bgm.wav
    └── ...

Citation

If you use this dataset, please consider citing

@article{wu2023singinghead,
  title={SingingHead: A Large-scale 4D Dataset for Singing Head Animation},
  author={Wu, Sijing and Li, Yunhao and Zhang, Weitian and Jia, Jun and Zhu, Yucheng and Yan, Yichao and Zhai, Guangtao},
  journal={arXiv preprint arXiv:2312.04369},
  year={2023}
}

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