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license: cc-by-nc-sa-4.0
---
# Dynamic Multipart Dataset
This dataset is proposed by [TRACE](https://github.com/vLAR-group/TRACE).
## Structure
The structure of the dataset is as:
```
DynObjects
| - data
| | - hyperbolic
| | | - train: serves as training data
| | | - val: used for evaluating novel view interpolation
| | | - test: used for evaluating future extrapolation
| | | - transforms_train.json: camera poses and other meta informations for training set
| | | - transforms_val.json: camera poses and other meta informations for novel view interpolation task
| | | - transforms_test.json: camera poses and other meta informations for future extrapolation task
| | | - points3d.ply: randomly initialized points for 3D Gaussians
| | - foldingchair
| | - stove
| | - satellite
```
## Citation
If you find this dataset helpful, please consider citing:
```bibtex
@article{li2025trace,
title={TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos},
author={Jinxi Li and Ziyang Song and Bo Yang},
year={2025},
journal={ICCV}
}
``` |