license: cc-by-4.0
arxiv: 2311.12198
tags:
- 3d-gaussian-splatting
- physics-simulation
- 3dgs
- physgaussian
- squishy
pretty_name: Squishy 3DGS Assets (PhysGaussian)
Squishy 3DGS Assets (Test)
Note: These are test assets for development and evaluation of the squishy physics simulation pipeline.
Pre-trained 3D Gaussian Splatting (3DGS) scenes used by the squishy physics simulation project. Each .zip contains a full gaussian-splatting-format output directory (PLY point cloud at multiple iterations, cameras, images).
Asset Origins
All 3DGS scene assets in this repository are open-source assets from PhysGaussian (Xie et al., CVPR 2024), mirrored here to the Hugging Face Hub for convenient access. We did not train these — full credit goes to the PhysGaussian authors.
Citation:
@inproceedings{xie2024physgaussian, title = {PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics}, author = {Xie, Tianyi and Zong, Zeshun and Qiu, Yuxing and Li, Xuan and Feng, Yutao and Yang, Yin and Jiang, Chenfanfu}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024} }Project page: https://xpandora.github.io/PhysGaussian/ Paper: https://arxiv.org/abs/2311.12198 GitHub: https://github.com/XPandora/PhysGaussian
Contents
| File | Asset | Description |
|---|---|---|
bread-trained.zip |
Bread | Loaf of bread |
ficus_whitebg-trained.zip |
Ficus | Potted ficus plant |
pillow2sofa_whitebg-trained.zip |
Pillow on Sofa | Pillow resting on sofa |
plane-trained.zip |
Plane | Flat reference plane |
vasedeck_whitebg-trained.zip |
Vase on Deck | Ceramic vase on wooden deck |
wolf_whitebg-trained.zip |
Wolf Plush | Wolf stuffed animal |
Usage with squishy
from squishy.asset_registry import get_ply
ply_path = get_ply("bread") # extracts zip on first use
Assets are fetched automatically from this dataset repo via squishy.hub if not present locally. Set SQUISHY_HF_DATASET_REPO=deformsuite/squishy-assets in your .env.
License
The 3DGS scene assets (bread, ficus, pillow2sofa, plane, vasedeck, wolf) are open-source assets released alongside the PhysGaussian paper (CVPR 2024). No explicit license file is present in the PhysGaussian repository; these assets are redistributed here under CC BY 4.0 consistent with standard academic paper releases. Please cite the paper if you use these assets.