In this paper, we present an automatic coloring model for ethnic costume sketches based on a generative adversarial networks. The proposed model is composed of a 6-layer U-net structure generator and a discriminator with 5-layer convolutional neural network. Then the loss function and the weights of true reliability value in the discriminator are optimized. And, finally the constructed sketch database is used for training to get an automatic coloring model. The results of a large number of sketch coloring experiments show that the model has good learning ability on exploring color law of ethnic costumes and can achieve better coloring effects.

中文翻译：

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基于生成对抗网络的民族服装草图自动着色方法

在本文中，我们提出了一种基于生成对抗网络的民族服装草图自动着色模型。所提出的模型由一个六层的U型网络结构生成器和一个带有五层的卷积神经网络的鉴别器组成。然后，对鉴别器中的损失函数和真实可靠性值的权重进行优化。并且，最后，将构建的草图数据库用于训练以获得自动着色模型。大量的草图着色实验结果表明，该模型具有很好的学习民族服饰颜色规律的学习能力，可以达到较好的着色效果。