Physics-Driven Extraction of Dynamic Fluid Asset from Monocular Video with Generative 3DGS.

Zhao Z, Zhao Y, Li M, Hu Y

DOI: 10.1109/tvcg.2026.3750350
Published: 2026 Nov 4
Container: IEEE transactions on visualization and computer graphics
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1109/tvcg.2026.3750350,
  title = {Physics-Driven Extraction of Dynamic Fluid Asset from Monocular Video with Generative 3DGS.},
  author = {Zhao Z and Zhao Y and Li M and Hu Y},
  year = {2026},
  journal = {IEEE transactions on visualization and computer graphics},
  doi = {10.1109/tvcg.2026.3750350},
  url = {https://doi.org/10.1109/tvcg.2026.3750350}
}

RIS

TY  - JOUR
TI  - Physics-Driven Extraction of Dynamic Fluid Asset from Monocular Video with Generative 3DGS.
AU  - Zhao Z
AU  - Zhao Y
AU  - Li M
AU  - Hu Y
PY  - 2026
JO  - IEEE transactions on visualization and computer graphics
DO  - 10.1109/tvcg.2026.3750350
UR  - https://doi.org/10.1109/tvcg.2026.3750350
ER  -

APA

Z, Z., Y, Z., M, L., & Y, H. (2026). Physics-Driven Extraction of Dynamic Fluid Asset from Monocular Video with Generative 3DGS.. IEEE transactions on visualization and computer graphics. https://doi.org/10.1109/tvcg.2026.3750350

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pubmed · retrieved 2026-11-10T13:12:32.650Z