Aligned and realistic latent diffusion for text-to-motion generation.

Li Z, Liu R, Zhu D, Zhou D, Wei X

DOI: 10.1186/s42492-026-00224-2
Published: 2026 Jul 20
Container: Visual computing for industry, biomedicine, and art
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1186/s42492-026-00224-2,
  title = {Aligned and realistic latent diffusion for text-to-motion generation.},
  author = {Li Z and Liu R and Zhu D and Zhou D and Wei X},
  year = {2026},
  journal = {Visual computing for industry, biomedicine, and art},
  doi = {10.1186/s42492-026-00224-2},
  url = {https://doi.org/10.1186/s42492-026-00224-2}
}

RIS

TY  - JOUR
TI  - Aligned and realistic latent diffusion for text-to-motion generation.
AU  - Li Z
AU  - Liu R
AU  - Zhu D
AU  - Zhou D
AU  - Wei X
PY  - 2026
JO  - Visual computing for industry, biomedicine, and art
DO  - 10.1186/s42492-026-00224-2
UR  - https://doi.org/10.1186/s42492-026-00224-2
ER  -

APA

Z, L., R, L., D, Z., D, Z., & X, W. (2026). Aligned and realistic latent diffusion for text-to-motion generation.. Visual computing for industry, biomedicine, and art. https://doi.org/10.1186/s42492-026-00224-2

Source records

pubmed · retrieved 2026-09-25T12:12:46.688Z