Knowledge graph enhanced cross modal generative adversarial network for martial arts motion reconstruction and heritage preservation

Xiaoyu Yue, Lulu Zhang

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DOI: 10.1038/s41598-026-36095-z
Published: 2026-01-21
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-36095-z,
  title = {Knowledge graph enhanced cross modal generative adversarial network for martial arts motion reconstruction and heritage preservation},
  author = {Xiaoyu Yue and Lulu Zhang},
  year = {2026},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-026-36095-z},
  url = {https://doi.org/10.1038/s41598-026-36095-z}
}

RIS

TY  - JOUR
TI  - Knowledge graph enhanced cross modal generative adversarial network for martial arts motion reconstruction and heritage preservation
AU  - Xiaoyu Yue
AU  - Lulu Zhang
PY  - 2026
JO  - Scientific Reports
DO  - 10.1038/s41598-026-36095-z
UR  - https://doi.org/10.1038/s41598-026-36095-z
ER  -

APA

Yue, X., & Zhang, L. (2026). Knowledge graph enhanced cross modal generative adversarial network for martial arts motion reconstruction and heritage preservation. Scientific Reports. https://doi.org/10.1038/s41598-026-36095-z

Source records

crossref · retrieved 2026-09-26T10:16:18.786Z