Unified Human Motion Pretraining via Generative Chrono-Structural Decomposition and Alignment.

Zhang J, Yang S, Liu J

DOI: 10.1109/tpami.2026.3751312
Published: 2026 Nov 9
Container: IEEE transactions on pattern analysis and machine intelligence
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1109/tpami.2026.3751312,
  title = {Unified Human Motion Pretraining via Generative Chrono-Structural Decomposition and Alignment.},
  author = {Zhang J and Yang S and Liu J},
  year = {2026},
  journal = {IEEE transactions on pattern analysis and machine intelligence},
  doi = {10.1109/tpami.2026.3751312},
  url = {https://doi.org/10.1109/tpami.2026.3751312}
}

RIS

TY  - JOUR
TI  - Unified Human Motion Pretraining via Generative Chrono-Structural Decomposition and Alignment.
AU  - Zhang J
AU  - Yang S
AU  - Liu J
PY  - 2026
JO  - IEEE transactions on pattern analysis and machine intelligence
DO  - 10.1109/tpami.2026.3751312
UR  - https://doi.org/10.1109/tpami.2026.3751312
ER  -

APA

J, Z., S, Y., & J, L. (2026). Unified Human Motion Pretraining via Generative Chrono-Structural Decomposition and Alignment.. IEEE transactions on pattern analysis and machine intelligence. https://doi.org/10.1109/tpami.2026.3751312

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pubmed · retrieved 2026-11-10T09:28:59.086Z