valentingol/gan-face-editing
Face attribute manipulation with GAN for automatic data augmentation or individual editing.
This project helps image editors, graphic designers, or content creators manipulate facial features in images. You input a photo of a face, and it allows you to adjust attributes like age, gender, hair, or expression, outputting a modified image. This is ideal for those who need to generate diverse facial images for training datasets or create variations for marketing materials.
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Use this if you need to systematically alter specific facial attributes in images for data augmentation, creative design, or visual content generation.
Not ideal if you need to perform general image editing tasks beyond specific facial attribute manipulation or if you lack access to an Nvidia GPU for full functionality.
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32
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Jupyter Notebook
License
MIT
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Last pushed
Aug 04, 2022
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