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关键人脸轮廓区域卡通风格化生成算法
引用本文:范林龙,李毅,张笑钦. 关键人脸轮廓区域卡通风格化生成算法[J]. 图学学报, 2021, 42(1): 44-51. DOI: 10.11996/JG.j.2095-302X.2021010044
作者姓名:范林龙  李毅  张笑钦
作者单位:温州大学计算机与人工智能学院,浙江温州325035;温州大学大数据与信息技术研究院,浙江温州325035
基金项目:国家重点研发计划项目(2018YFB1004904);温州市科技计划项目(G20180036,R20200025)。
摘    要:针对人脸轮廓特征区域的局部化限定,结合关键特征点的提取和脸部邻近颜色区域的融合,并引入注意力机制,提出了一种基于CycleGAN的关键人脸轮廓区域卡通风格化生成算法,以此作为初始样本构建生成对抗网络(GAN)并获取自然融合的局部卡通风格化人脸图像.利用人脸轮廓及关键特征点进行提取,结合颜色特征信息限定关键人脸风格化区域...

关 键 词:人脸特征  局部区域  对抗生成网络  风格化

Generative adversarial network-based local facial stylization generation algorithm
FAN Lin-long,LI Yi,ZHANG Xiao-qin. Generative adversarial network-based local facial stylization generation algorithm[J]. Journal of Graphics, 2021, 42(1): 44-51. DOI: 10.11996/JG.j.2095-302X.2021010044
Authors:FAN Lin-long  LI Yi  ZHANG Xiao-qin
Affiliation:1. College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou Zhejiang 325035, China;2. Institute of Big Data and Information Technology of Wenzhou University, Wenzhou Zhejiang 325035, China
Abstract:In view of the localized facial contour features,combining with the extraction of key feature points and the fusion of adjacent color regions of the face,we presented a CycleGAN-based local facial stylization generation algorithm,and constructed the deep learning network with the attention mechanism to generate the local facial cartoon stylization.The sample facial images were marked by using the local area binarization method to constrain the key features and points.In order to naturally match the generated image with the extracted features,the mean filtering operation was utilized to smooth and feather the edge contour of the extracted region.Finally,the generative adversarial networks(GAN)network was constructed,and the training data set was employed to generate cartoon stylization images in the local contour feature area of facial images.The experiment results show that the presented algorithm exhibits high robustness for generating facial stylization,and that it can be applied to the generation of stylized facial images of various scales.
Keywords:facial features  local area  generative adversarial networks  stylization
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