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Multi-conditional Diffusion Action Generation Network for Human Action Recognition

delete2026-02-17
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PRE
AI
L
Long Liu
X
Xin Wang
S
Siying Ren
K
Kai Lu
F
Fangming Li
Z
Zhiyong Ma
DOI:10.1016/j.inffus.2026.104243delete
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Abstract

Abstract

En 中文
• MD-AGN is proposed to synthesize human actions with a few samples. • HPRE constructs a multi-conditional prompting guide from text to action. • MMDM employs anisotropy factors to learn irregular distributions in the action. • IBO optimizes classification boundaries by excluding bad samples.
Keywords:
MD-AGN
HPRE
MMDM
IBO

Journal

Information Fusion cover
Information Fusion
IF:
15.5
Papers:
4.2K
Citations:
2.7W

Organization

X
Xian University of Technology
Scholars:
890
Papers: 323
Citations: 0
Cited Papers

Cited Papers

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errLi, Chenghao; Liang, Wenlong; Yin, Fei; Zhao, Yahui; Zhang, Zhenguo
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