xie-lab-ml/awesome-alignment-of-diffusion-models

[ACM Computing Surveys] The collection of awesome papers on alignment of diffusion models.

47
/ 100
Emerging

This collection helps researchers and academics working with generative AI to find relevant papers on aligning diffusion models with human preferences or specific criteria. It provides a structured list of research papers and their PDFs, categorized by alignment techniques like RLHF/RLAIF and DPO. The resource helps users stay current with advancements and quickly locate foundational and recent work in the field of diffusion model alignment.

407 stars.

Use this if you are a researcher or academic specifically studying how to make diffusion models generate outputs that better match human preferences or desired outcomes.

Not ideal if you are looking for ready-to-use code, tutorials for implementing diffusion models, or a general overview of generative AI for non-technical purposes.

Generative AI Research Diffusion Models Machine Learning Alignment AI Ethics and Control Computer Vision Research
No Package No Dependents
Maintenance 10 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 11 / 25

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Stars

407

Forks

17

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License

MIT

Last pushed

Feb 06, 2026

Commits (30d)

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