A reinforcement-learning reward based on bipartite face matching improves multi-identity consistency and reduces identity confusion in image customization models.
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UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward
A reinforcement-learning reward based on bipartite face matching improves multi-identity consistency and reduces identity confusion in image customization models.