chen-hao-chao/mdm-prime

[NeurIPS 2025] Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking

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Experimental

This project offers a new method for generating high-quality synthetic data, including text and images, from existing datasets. It takes a dataset of examples (like sentences or pictures) and produces novel, but similar, outputs. This tool is for researchers and developers working on advanced AI models, particularly those in machine learning and generative AI.

Use this if you are a researcher or AI developer exploring discrete diffusion models for generating realistic text or images.

Not ideal if you are looking for an off-the-shelf application to generate content without deep technical involvement.

generative-AI deep-learning-research synthetic-data-generation natural-language-generation computer-vision-research

No License No Package No Dependents

Maintenance 6 / 25

Adoption 6 / 25

Maturity 7 / 25

Community 0 / 25

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