KKhyeok/SuperstarGAN
"SuperstarGAN: Generative adversarial networks for image-to-image translation in large-scale domains" in Neural Networks (Volume 162, May 2023, Pages 330-339).
This project helps researchers and artists automatically transform specific characteristics within a large collection of images while preserving the original identity of the subject. You provide a dataset of images, and it generates new versions where attributes like hair color or animal breed are altered. It's designed for machine learning researchers, computer vision engineers, and digital artists working with extensive image datasets.
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Use this if you need to generate diverse image variations by changing specific attributes across a large dataset without losing the core identity of the subject.
Not ideal if you're looking for a simple, off-the-shelf tool for quick photo editing or if you don't have experience with machine learning model training.
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Python
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Mar 30, 2023
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