Multi-conditional Diffusion Action Generation Network for Human Action Recognition

Long Liu

doi:10.1016/j.inffus.2026.104243

2026-02-17

PRE

DOI：10.1016/j.inffus.2026.104243

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摘要

En 中文

• MD-AGN被提出用于利用少量样本合成人类动作。 • HPRE通过从文本到动作构建多条件提示引导。 • MMDM采用各向异性因子学习动作中的不规则分布。 • IBO通过排除不良样本优化分类边界。

Keyword:

MD-AGN

HPRE

MMDM

IBO

期刊

Information Fusion

IF:

15.5

论文数:

4.2K

被引数:

2.7W

机构

Xian University of Technology

学者数:

890

论文数: 323

被引数: 0

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