yunqing-me/AdAM
[NeurIPS-2022] Annual Conference on Neural Information Processing Systems
This tool helps researchers and content creators generate new, high-quality images for specific subjects or styles, even when they only have a handful of example images. By taking a pre-existing image generation model (like one trained on general human faces) and a small set of target images (e.g., ten images of babies), it can create new images that perfectly match the target's unique characteristics. This is ideal for those needing to quickly expand a small image dataset or create variations of niche visual content.
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Use this if you need to generate many diverse images that adhere to a very specific visual style or subject, but only have a few reference images available.
Not ideal if you're looking for a simple, off-the-shelf image generator that doesn't require fine-tuning with your own data or if you have a large dataset already.
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19
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1
Language
Python
License
MIT
Category
Last pushed
Dec 21, 2023
Commits (30d)
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