A novel method for generating color portraits from sketch images using the edge constraint algorithm and generative adversarial networks (GANs) is proposed in this paper. In converting sketches into color portraits, the details of portrait output by GANs are often blurred and unrealistic. A new method with edge constraint is proposed in this work to address this issue. The image generated from generator network and its edge generated from the followed edge network are combined and provided to the discriminator for authenticity identification. Experiments show that the portrait output by the proposed method provides a more clear and realistic edge than a Pix2Pix model and has a better ability to generate color portraits from sketches compared with other common methods. The average structural similarity index measure (SSIM) value of the proposed method is 82.78%, while the values obtained by other methods and Pix2Pix are 42.99% and 78.60%, respectively.

本文提出了一种使用边缘约束算法和生成对抗网络（GAN）从草图图像生成彩色肖像的新方法。在将草图转换成彩色人像时，GANs 输出的人像细节往往模糊不清，不切实际。在这项工作中提出了一种具有边缘约束的新方法来解决这个问题。生成器网络生成的图像和跟随的边缘网络生成的边缘被组合并提供给鉴别器进行真实性识别。实验表明，与其他常用方法相比，所提出的方法输出的人像提供了比 Pix2Pix 模型更清晰、更逼真的边缘，并且具有更好的从草图生成彩色人像的能力。