AI RESEARCH
TextFlux: An OCR-Free DiT Model for High-Fidelity Multilingual Scene Text Synthesis
arXiv CS.CV
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ArXi:2505.17778v2 Announce Type: replace Diffusion-based scene text synthesis has progressed rapidly, yet existing methods commonly rely on additional visual conditioning modules and require large-scale annotated data to multilingual generation. In this work, we revisit the necessity of complex auxiliary modules and further explore an approach that simultaneously ensures glyph accuracy and achieves high-fidelity scene integration, by leveraging diffusion models' inherent capabilities for contextual reasoning. To this end, we.