How to perform Vector Arithmetic of face images

最新推荐文章于 2023-05-31 09:07:07 发布

转载最新推荐文章于 2023-05-31 09:07:07 发布 · 374 阅读

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本文介绍了一种使用DCGAN进行面部属性编辑的方法，通过修改样本向量实现特定属性的算术运算，如将微笑女性的特征转移到普通男性脸上。过程包括生成样本文件、手动选择图片及对应的向量、进行向量运算并最终生成带有新属性的人脸图像。

TigistAbebaw sorry I didn't explain that I also altered part of visualize() codes in utils.py such that the generated txt file would be used for visualization. Please take following steps:

Run generate_samples(), which will create a sample_file.txt.
Run DCGAN.main() in test mode and make sure option=0 for visualize().
Select images by hand from generated png file that you need for arithmetic calculation (take smiling woman for example), and copy corresponding sample vector (examplar vector) in sample_file.txt to a new txt file.
Repeat 1-3 until you have 3 different examplar vectors (smiling woman, normal woman and normal man). Name this new txt file as exemplar_vector.txt.
Run alrithmetic_sample() which performs arithmetic calculation between 3 examplar vectors and generates a new sample_file.txt.
Run DCGAN.main() in test mode and set option=0 in visualize(). Now arithmetic result image will be generated.
Pardon me if the procedures are far more complicated than a single script file. But I believe it introduces more freedom in the process.