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Arxiv
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54
Image Credit: Arxiv
Divergence Minimization Preference Optimization for Diffusion Model Alignment
- Diffusion models have been successful in generating diverse images from text prompts.
- A new method called Divergence Minimization Preference Optimization (DMPO) is introduced to align diffusion models with human preferences by minimizing reverse KL divergence.
- Experiments show that models fine-tuned with DMPO outperform existing techniques, achieving at least 64.6% improvement in PickScore.
- DMPO offers a principled approach for aligning generative behavior with desired outputs in diffusion models.
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