SonicGauss Dataset

This dataset contains processed ObjectFolder 2.0 and ObjectFolder Real data for training the SonicGauss model - a position-aware physical sound synthesis framework for 3D Gaussian representations.

Dataset Description

The dataset includes:

• 3D Gaussian Splatting (3DGS) PLY files extracted from object scans
• Impact sound recordings at various positions
• Rendered images from multiple viewpoints
• Training/validation split files in JSON format

Dataset Statistics

• ObjectFolder 2.0: 1,000 objects with synthetic impact sounds
• ObjectFolder Real: Real-world recordings with diverse materials
• Total Size: ~24.7 GB (split archive)

Dataset Structure

datas/
├── objectfolder_2.0_train.json
├── objectfolder_2.0_val.json
├── objectfolder_real_train.json
├── objectfolder_real_val.json
├── OF_Real/
│   └── ObjectFolderResults/
└── OF_2.0/
    ├── audio_results/    # Impact sound recordings (.wav)
    └── vision_results/   # 3DGS PLY files (.ply)

Usage

# Download using huggingface-cli
pip install huggingface-hub
huggingface-cli download AiEson2/SonicGauss --repo-type dataset --local-dir ./datas/

Citation

If you use this dataset, please cite:

@inproceedings{wang2025sonicgauss,
  title={SonicGauss: Position-Aware Physical Sound Synthesis for 3D Gaussian Representations},
  author={Wang, Chunshi and Li, Hongxing and Luo, Yawei},
  booktitle={Proceedings of the 33rd ACM International Conference on Multimedia},
  pages={10886--10895},
  year={2025}
}

@inproceedings{gao2023objectfolder,
  title={The objectfolder benchmark: Multisensory learning with neural and real objects},
  author={Gao, Ruohan and Dou, Yiming and Li, Hao and Agarwal, Tanmay and Bohg, Jeannette and Li, Yunzhu and Fei-Fei, Li and Wu, Jiajun},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={17276--17286},
  year={2023}
}

@inproceedings{gao2022objectfolder,
  title={Objectfolder 2.0: A multisensory object dataset for sim2real transfer},
  author={Gao, Ruohan and Si, Zilin and Chang, Yen-Yu and Clarke, Samuel and Bohg, Jeannette and Fei-Fei, Li and Yuan, Wenzhen and Wu, Jiajun},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={10598--10608},
  year={2022}
}

License

This dataset is derived from ObjectFolder and is distributed under the same terms. Please refer to the original ObjectFolder project for licensing details.