AI RESEARCH
TextAlign: Preference Alignment for Text Rendering with Hierarchical Rewards
arXiv CS.CV
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ArXi:2605.19320v1 Announce Type: new Faithful text rendering remains a persistent weakness of large text-to-image generative models, as it requires both semantic instruction following and fine-grained glyph-level structure. Prior methods often improve this ability through architecture-specific modules or encoder modifications, which complicate deployment across foundation models. We study text rendering as a post-