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ACDG-VTON: Accurate and Contained Diffusion Generation for Virtual Try-On

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Zhang, Jeffrey, Li, Kedan, Chang, Shao-Yu, Forsyth, David
Formato:	Preprint
Publicado:	2024
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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