DiMMPose: A Diffusion-Mamba Hybrid Framework with Multi-Prompt for Efficient and Robust 3D Human Pose Estimation
- DOI
- 10.3390/s26175559
- Published
- 2026-09-01
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26175559,
title = {DiMMPose: A Diffusion-Mamba Hybrid Framework with Multi-Prompt for Efficient and Robust 3D Human Pose Estimation},
author = {Xu Li and Xuefeng Guan and Chang Liu and Zengjie Wang and Xiaoyu Chen and Qingyang Xu and Shuyang Hou and Xiaopu Zhang and Huayi Wu},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26175559},
url = {https://doi.org/10.3390/s26175559}
}RIS
TY - JOUR TI - DiMMPose: A Diffusion-Mamba Hybrid Framework with Multi-Prompt for Efficient and Robust 3D Human Pose Estimation AU - Xu Li AU - Xuefeng Guan AU - Chang Liu AU - Zengjie Wang AU - Xiaoyu Chen AU - Qingyang Xu AU - Shuyang Hou AU - Xiaopu Zhang AU - Huayi Wu PY - 2026 JO - Sensors DO - 10.3390/s26175559 UR - https://doi.org/10.3390/s26175559 ER -
APA
Li, X., Guan, X., Liu, C., Wang, Z., Chen, X., Xu, Q., Hou, S., Zhang, X., & Wu, H. (2026). DiMMPose: A Diffusion-Mamba Hybrid Framework with Multi-Prompt for Efficient and Robust 3D Human Pose Estimation. Sensors. https://doi.org/10.3390/s26175559
Source records
- crossref · retrieved 2026-09-24T19:25:38.711Z