qiaott/MirrorGAN
Pytorch implementation of MirrorGAN
This project helps researchers and developers in artificial intelligence generate high-quality images directly from text descriptions. You provide descriptive sentences, and the system produces corresponding visual content. It is ideal for AI researchers, computer vision engineers, and deep learning practitioners exploring advanced text-to-image synthesis.
132 stars. No commits in the last 6 months.
Use this if you need to research or implement cutting-edge text-to-image generation models based on the MirrorGAN architecture.
Not ideal if you are looking for an out-of-the-box application to generate images without deep technical setup and machine learning expertise.
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132
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39
Language
Python
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Last pushed
Jul 22, 2019
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