xie-lab-ml/awesome-alignment-of-diffusion-models
[ACM Computing Surveys] The collection of awesome papers on alignment of diffusion models.
Organizes alignment techniques—including RLHF, DPO, and adversarial methods—across diffusion model architectures with curated paper links to foundational and recent work. Serves as a living research index that tracks emerging approaches for steering text-to-image and generative diffusion systems toward human preferences, complementing the authors' ACM survey on alignment fundamentals and challenges.
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Feb 06, 2026
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