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license: cc-by-nc-sa-4.0
---
# FreeGave-GoPro Dataset
This dataset is proposed by [FreeGave](https://github.com/vLAR-group/FreeGave).
## Structure
The structure of the dataset is as:
```
DynObjects
| - data
| | - pen1:
| | | - 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
| | - pen1
| | - box
| | - hammer
| | - collision
| | - mat
```
## Citation
If you find this dataset helpful, please consider cite:
```bibtex
@article{li2025freegave,
title={FreeGave: 3D Physics Learning from Dynamic Videos by Gaussian Velocity},
author={Jinxi Li and Ziyang Song and Siyuan Zhou and Bo Yang},
year={2025},
journal={CVPR}
}
``` |