manicman1999/StyleGAN2-Tensorflow-2.0
StyleGAN 2 in Tensorflow 2.0
This project helps artists, designers, and content creators generate highly realistic and diverse images, such as landscapes or portraits. You provide a collection of existing images, and the system learns their style to create brand new, unique images that match that aesthetic. It's ideal for creative professionals looking to expand visual content.
482 stars. No commits in the last 6 months.
Use this if you need to generate high-quality, synthetic images that are indistinguishable from real photographs, based on a specific style or theme present in your own dataset.
Not ideal if you need to edit existing images or perform traditional image manipulations rather than creating new ones from scratch.
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482
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112
Language
Python
License
MIT
Category
Last pushed
Jan 24, 2022
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