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°.… See the full description on the dataset page: https://huggingface.co/datasets/terrant20/FluidNexusDatasets.
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1---2license: mit3---4# FluidNexus: 3D Fluid Reconstruction and Prediction From a Single Video5 6 7[](https://arxiv.org/abs/2503.04720)8[](https://arxiv.org/pdf/2503.04720)9[](https://yuegao.me/FluidNexus/)10[](https://github.com/ueoo/FluidNexus/)11[](https://huggingface.co/datasets/yuegao/FluidNexusDatasets)12[](https://huggingface.co/yuegao/FluidNexusModels)13 14[Yue Gao*](https://yuegao.me/), [Hong-Xing "Koven" Yu*](https://kovenyu.com/), [Bo Zhu](https://faculty.cc.gatech.edu/~bozhu/), [Jiajun Wu](https://jiajunwu.com/)15 16[Stanford University](https://svl.stanford.edu/); [Microsoft](https://microsoft.com/); [Georgia Institute of Technology](https://www.gatech.edu/)17 18\* denotes equal contribution19 20## FluidNexus-Smoke and FluidNexus-Ball21Our 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°.22 23* **FluidNexusSmoke** and **FluidNexusBall**: Processed datasets containing one example sample used in our paper.24* **FluidNexusSmokeAll** and **FluidNexusBallAll**: All samples processed into frames, usable within the FluidNexus framework.25* **FluidNexusSmokeAllRaw** and **FluidNexusBallAllRaw**: Raw videos of all samples as originally captured.26* **DATASETNAME_cogvideox_dataset**: These processed datasets, ready for direct use in [`CogVideoX`](https://github.com/THUDM/CogVideo) training and inference, include labels generated by [`CogVLM`](https://github.com/THUDM/CogVLM).27 28For more details, please refer to our [project page](https://yuegao.me/FluidNexus/), [code repository](https://github.com/ueoo/FluidNexus/), and our [paper](https://arxiv.org/abs/2503.04720).29 30## ScalarReal31We also used the **ScalarFlow** dataset. Here, we provide one sample from it, ScalarReal. Please refer to the ScalarFlow [website](https://ge.in.tum.de/publications/2019-scalarflow-eckert/) for more information.32 33 34## Citation35 36If you find these datasets useful for your research, please cite our paper:37 38```bibtex39@inproceedings{gao2025fluidnexus,40 title = {FluidNexus: 3D Fluid Reconstruction and Prediction from a Single Video},41 author = {Gao, Yue and Yu, Hong-Xing and Zhu, Bo and Wu, Jiajun},42 booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},43 month = {June},44 year = {2025},45}46```47