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NTIS 바로가기대한임베디드공학회논문지 = IEMEK Journal of embedded systems and applications, v.18 no.5, 2023년, pp.241 - 248
김정기 (Daegu University) , 정명준 (Daegu University) , 차경애 (Daegu University)
GAN (Generative Adversarial Networks) creates highly sophisticated counterfeit products by learning real images or text and inferring commonalities. Therefore, it can be useful in fields that require the creation of large-scale images or graphics. In this paper, we implement GAN-based game character...
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