terrant20/FluidNexusDatasets

FluidNexus: 3D Fluid Reconstruction and Prediction From a Single Video

     

Yue Gao*, Hong-Xing "Koven" Yu*, Bo Zhu, Jiajun Wu

Stanford University; Microsoft; Georgia Institute of Technology

\* denotes equal contribution

FluidNexus-Smoke and FluidNexus-Ball

Our FluidNexus-Smoke and FluidNexus-Ball datasets each include 120 scenes. Every scene contains 5 synchronized multi-view videos, with cameras arranged along a horizontal arc of approximately 120°.

• —FluidNexusSmoke and FluidNexusBall: Processed datasets containing one example sample used in our paper.
• —FluidNexusSmokeAll and FluidNexusBallAll: All samples processed into frames, usable within the FluidNexus framework.
• —FluidNexusSmokeAllRaw and FluidNexusBallAllRaw: Raw videos of all samples as originally captured.
• —DATASETNAME_cogvideox_dataset: These processed datasets, ready for direct use in `CogVideoX` training and inference, include labels generated by `CogVLM`.

For more details, please refer to our project page, code repository, and our paper.

ScalarReal

We also used the ScalarFlow dataset. Here, we provide one sample from it, ScalarReal. Please refer to the ScalarFlow website for more information.

Citation

If you find these datasets useful for your research, please cite our paper:

@inproceedings{gao2025fluidnexus,
    title     = {FluidNexus: 3D Fluid Reconstruction and Prediction from a Single Video},
    author    = {Gao, Yue and Yu, Hong-Xing and Zhu, Bo and Wu, Jiajun},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2025},
}