sutd-visual-computing-group/awesome-generative-modeling-under-data-constraints

[TMLR] A Comprehensive List of Works for Generative Modeling with Limited Data, Few Shots, and Zero Shot

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This resource provides a comprehensive list of research papers focused on generating new data, such as images or text, when you have very little existing data to start with. It categorizes different scenarios for limited data, from a few examples to just one, or even only a text description. Researchers and practitioners working on AI models in data-scarce domains like healthcare or specialized industries will find this valuable.

Use this if you need to understand or implement generative AI solutions but face challenges due to a lack of extensive training data.

Not ideal if you are looking for an off-the-shelf tool to generate data without any understanding of the underlying research or coding.

AI research data synthesis machine learning computer vision healthcare AI
No License No Package No Dependents
Maintenance 6 / 25
Adoption 7 / 25
Maturity 8 / 25
Community 4 / 25

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Jan 01, 2026

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