Noise-Space Reward Alignment for Few-Step Generative Models
Few-step generative models produce high-quality samples in one or a few evaluations. However, steering them toward desired properties remains difficult, especially when only black-box reward evaluations are available. While one could apply approaches developed for iterative diffusion and flow-based models, such as dire...
Woocheol Shin, Taeyoung Yun, Jiwon Sung et al.
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