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Updated: Jan 9, 2026

Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm
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ClipFaceFusion多模式扩散用于高保真面部生成和修改

Xueming Jiang1, Yi Ding2

  • 1College of Art, Suzhou University of Science and Technology, Suzhou, 215011, Jiangsu, China.

Scientific reports
|December 6, 2025
PubMed
概括

ClipFaceFusion从文本,音频和图像中生成真实的面孔,可以精确控制年龄和情绪. 这种基于扩散的模型增强了交叉模式的连贯性,并减少了用于改进面部合成和操纵的文物.

关键词:
年龄和情绪建模.视听调整对齐方式在CLIP的指导下进行合成.跨模式一致性 跨模式一致性基于DDIM的DDIM是基于DDIM的.扩散模型的扩散模型.脸部操纵 面部操纵保护身份 保护身份 保护身份多信号调节的条件是多信号.摄影现实面部合成语义控制 语义控制 语义控制

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