yunqing-me/A-Closer-Look-at-FSIG
The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2022
This project helps researchers and engineers in computer vision generate high-quality, diverse images using very few example images. By providing a small set of training images (like 10 photos of 'babies'), you can generate many new, varied images that retain the style and characteristics of the input. It's designed for those working on advanced image synthesis and generative models.
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Use this if you need to generate a wide range of new images from a limited number of original samples, ensuring both quality and diversity in the synthetic output.
Not ideal if you are a casual user looking for a simple photo editor or a tool to generate images from text prompts, as this requires technical expertise in machine learning and specific data preparation.
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Language
Python
License
MIT
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Last pushed
Oct 30, 2023
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