Contrastive learning-driven spatiotemporal dynamically adaptive framework for stylized 3D human motion generation

Open Access

Peer-reviewed

Research Article

About the Authors

Zhiqiang Song

Roles Visualization, Writing – original draft

Affiliation College of Physical Education, Shandong Sport University, Jinan, China

Ruyan Zhang

Roles Data curation, Formal analysis

Affiliation Faculty of Health Sciences and Sports, Macao Polytechnic University, Macao, China

Shuangjun Li

Roles Investigation, Methodology

Affiliation College of Physical Education, Shandong Sport University, Jinan, China

Chao Liu

Roles Supervision, Writing – review & editing

Affiliation Physical Education Institute, Yanching Institute of Technology, Langfang, China

No conflict of interest exits in the submission of this manuscript.

Skeletal joints
Is the Subject Area "Skeletal joints" applicable to this article?

Thanks for your feedback.
Toxin-antitoxin modules
Is the Subject Area "Toxin-antitoxin modules" applicable to this article?

Thanks for your feedback.
Human learning
Is the Subject Area "Human learning" applicable to this article?

Thanks for your feedback.
Vision
Is the Subject Area "Vision" applicable to this article?

Thanks for your feedback.
Body weight
Is the Subject Area "Body weight" applicable to this article?

Thanks for your feedback.
Deep learning
Is the Subject Area "Deep learning" applicable to this article?

Thanks for your feedback.
Preprocessing
Is the Subject Area "Preprocessing" applicable to this article?

Thanks for your feedback.
Semantics
Is the Subject Area "Semantics" applicable to this article?

Thanks for your feedback.