期刊论文

Zhao, H.

英文

Intelligent Automation and Soft Computing

1079-8587

2020

26

6

1391-1401

10.32604/iasc.2020.011750

Funding Statement: This work is supported by the National Natural Science Foundation of China (Nos. 61503128, 61772179), Hunan Provincial Natural Science Foundation of China (No. 2020JJ4152, 2019JJ40005), The Science and Technology Novation Program of Hunan Province (No. 2016TP1020), Scientific Research Fund of Hunan Provincial Education Department (18A333), and the Double First-Class University Project of Hunan Province (No. Xiangjiaotong [2018] 469). Postgraduate Research and Innovation Projects of Hunan Province (No. Xiangjiaotong [2019] 248–998). Hengyang guided science and technology projects and Application-oriented Special Disciplines (No. Hengkefa [2018] 60–31). Industry University Research Innovation Foundation of Ministry of Education Science and Technology Development Center (No. 2020QT09). Postgraduate Scientific Research Innovation Project of Hunan Province (No. CX20190998).

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Generating an RGB image from a sketch is a challenging and interest-ing topic. This paper proposes a method to transform a face sketch into a color image based on generation confrontation network and edge optimization. A neural network model based on Generative Adversarial Networks for transferring sketch to RGB image is designed. The face sketch and its RGB image is taken as the training data set. The human face sketch is transformed into an RGB image by the training method of generative adversarial networks confrontation. Aiming to generate a...