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RASA: Replace Anyone, Say Anything -- A Training-Free Framework for Audio-Driven and Universal Portrait Video Editing

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Pan, Tianrui, Liu, Lin, Liu, Jie, Zhang, Xiaopeng, Tang, Jie, Wu, Gangshan, Tian, Qi
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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