HADD: A hierarchy-aware disentangled diffusion framework with spatio-temporal denoising for 3D human pose estimation

Jinze Jiang, Zhongheng Jian, Hualing Zheng, Minsi Liang, Yuxing Shi, Liming Zhang

Open source

DOI: 10.1371/journal.pone.0359321
Published: 2026-09-28
Container: PLOS One
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0359321,
  title = {HADD: A hierarchy-aware disentangled diffusion framework with spatio-temporal denoising for 3D human pose estimation},
  author = {Jinze Jiang and Zhongheng Jian and Hualing Zheng and Minsi Liang and Yuxing Shi and Liming Zhang},
  year = {2026},
  journal = {PLOS One},
  doi = {10.1371/journal.pone.0359321},
  url = {https://doi.org/10.1371/journal.pone.0359321}
}

RIS

TY  - JOUR
TI  - HADD: A hierarchy-aware disentangled diffusion framework with spatio-temporal denoising for 3D human pose estimation
AU  - Jinze Jiang
AU  - Zhongheng Jian
AU  - Hualing Zheng
AU  - Minsi Liang
AU  - Yuxing Shi
AU  - Liming Zhang
PY  - 2026
JO  - PLOS One
DO  - 10.1371/journal.pone.0359321
UR  - https://doi.org/10.1371/journal.pone.0359321
ER  -

APA

Jiang, J., Jian, Z., Zheng, H., Liang, M., Shi, Y., & Zhang, L. (2026). HADD: A hierarchy-aware disentangled diffusion framework with spatio-temporal denoising for 3D human pose estimation. PLOS One. https://doi.org/10.1371/journal.pone.0359321

Source records

crossref · retrieved 2026-11-08T10:55:14.382Z