Unveiling Facial Fidelity: A Novel Approach to Synthesizing High-Quality Face Images Using Generative Adversarial Networks

In the field of computer vision, generating realistic images from sketches has garnered considerable attention due to its wide-ranging applications in art, design, and facial recognition systems. With increasing demand for more sophisticated image synthesis, advanced methodologies are essential to b...

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Detalhes bibliográficos

Principais autores:	Modafar Ati, Muhammad Ahmed Hassan, Muhammad Usman Ghani
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2025-01-01
coleção:	IEEE Access
Assuntos:	Computer vision deep learning generative adversarial network image generation image processing
Acesso em linha:	https://ieeexplore.ieee.org/document/11030461/
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