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Beyond Pairwise Preferences: Listwise Reward-Aware Alignment for Diffusion Models

Diffusion LAIR is proposed, a reward-aware listwise preference optimization method for diffusion models that outperforms strong preference optimization baselines on SD1.5 and SDXL across text-to-image generation, compositional generation, and image editing benchmarks.

Austin S. Wang, Jiaqi Han, S. Ermon et al. · 1 citation

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