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FACIAL IMAGE GENERATING METHOD, FACIAL IMAGE GENERATING APPARATUS, AND FACIAL IMAGE GENERATING DEVICE

机译:面部图像生成方法,面部图像生成装置以及面部图像生成装置

摘要

A facial image generating method, a facial image generating apparatus, and a facial image generating device are proposed. The method comprises: linking an M-dimensional facial feature vector with an N-dimensional demanded feature vector to generate a synthesized feature vector; and generating a synthesized facial image by use of a deep convolutional network for facial image generation and based on the synthesized feature vector. The method further comprises: generating a demand satisfaction score based on the synthesized facial image and the demanded feature vector by use of a deep convolutional network for demand determination; and updating parameters of the deep convolutional network for facial image generation and the deep convolutional network for demand determination based on the demand satisfaction score. A facial image is generated based on a facial feature vector and a demanded feature vector, a facial image with a specific feature can be generated without using the three-dimensional model.
机译:提出了一种面部图像生成方法,面部图像生成设备和面部图像生成装置。该方法包括:将M维面部特征向量与N维需求特征向量链接以生成合成特征向量。通过使用深度卷积网络生成面部图像并基于合成特征向量来生成合成面部图像。该方法还包括:通过使用深度卷积网络来确定需求,基于合成的面部图像和需求特征向量生成需求满意度得分;以及基于需求满意度得分的深度卷积网络和用于需求确定的深度卷积网络的参数更新。基于面部特征向量和所需特征向量来生成面部图像,可以在不使用三维模型的情况下生成具有特定特征的面部图像。

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