計算力学講演会講演論文集
Online ISSN : 2424-2799
2022.35
セッションID: 16-09
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Human body structure extraction of anime characters based on deep learning
*劉 思涵塩谷 隆二中林 靖
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With the popularity of social networking services and smartphones, photo processing applications have become widely used, and there is a growing interest in more advanced photo processing techniques. In the field of image generation, methods based on adversarial generative networks (GANs) have shown particularly good results. We discussed the anime characters’ body structure extraction methods based on generative adversarial networks (GANs). This research is expected to be applied in the field of drawing that can be used as a tool to significantly reduce learning period or provide a new study method for drawing beginners.

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© 2022 The Japan Society of Mechanical Engineers
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