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scintigimcki/FreeGave-GoPro

FreeGave-GoPro Dataset This dataset is proposed by 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… See the full description on the dataset page: https://huggingface.co/datasets/scintigimcki/FreeGave-GoPro.

sourceHugging Facecc-by-nc-sa-4.0updated 1y agoView on Hugging Face

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FreeGave-GoPro Dataset

This dataset is proposed by 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}
}