迷人发型的建议

Yuto Nakamae, Xueting Wang, T. Yamasaki
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引用次数: 4

摘要

人们改变他们的发型,使他们的外表有吸引力,然而很难确定哪种发型是有吸引力的。在这项研究中,我们的目标是通过深度学习的吸引力评估和图像生成来推荐一种发型,以提高输入面部的吸引力。在实验中,我们首先了解了吸引力,得到了类似于人类直觉的结果。其次,采用发型属性转换和换脸两种方法改变输入图像的发型;最后,通过主观评价输入图像与所提方法得到的图像进行对比实验。结果表明,该方法能够生成具有较高评价价值的图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recommendations for Attractive Hairstyles
People change their hairstyles to make their appearance attractive, however it is difficult to determine which hairstyles are attractive. In this study, we aim to recommend a hairstyle that improves the attractiveness for an input face using attractiveness evaluation and image generation by deep learning. In the experiment, we first learned the attractiveness and obtained results similar to human intuition. Second, the hairstyle of the input image was changed using two methods: hairstyle attribute conversion and face swapping. Finally, a comparison experiment was performed by subjectively evaluating the input image and the image obtained by the proposed method. As a result, the proposed method was able to generate images with high evaluation value.
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