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The image blending method for face swapping

机译:人脸互换的图像融合方法

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摘要

Recently, image synthesis technology such as face swapping have been receiving attention gradually. In this issue, the rigid boundary line which is occurred by the large difference of color and brightness between reference and target image in synthesized image is a serious problem. This boundary line is the main cause of unnatural face swapping. In this paper, we propose a blending method which can deal with this problem by adaptive weight value and require low-cost for computation. In experiment, we verify that proposed method can remove the boundary line effectively during the image synthesis and preserve the principal parts of human face such as eyes, nose and mouth. Furthermore, we demonstrate that our method can compute the algorithm with 600 by 600 resolution image in near realtime.
机译:近来,诸如面部交换之类的图像合成技术已逐渐受到关注。在此问题中,合成图像中参考图像和目标图像之间的颜色和亮度差异很大而产生的刚性边界线是一个严重的问题。此边界线是不自然的人脸交换的主要原因。在本文中,我们提出了一种混合方法,该方法可以通过自适应权重值解决该问题,并且需要低成本的计算。在实验中,我们验证了该方法能够有效地去除图像合成过程中的边界线,并保留了人脸的主要部分,如眼睛,鼻子和嘴巴。此外,我们证明了我们的方法可以近乎实时地用600 x 600分辨率的图像计算该算法。

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