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InnoText: A Unified Model for Visual Text Generation and Editing

Research Multimodal & Generative

Merged summary

TL;DR - InnoText is a unified diffusion-transformer model for generating and editing visual text, including small-scale and Chinese characters. It aims to improve legibility and consistency while replacing separate task-specific pipelines.

  • Uses one DiT-based framework for both visual text generation and editing.
  • Introduces font size-aware modulation and small-character augmentation to improve fine-grained text fidelity.
  • Applies a task-specific region-weighted loss for adaptive optimization.
  • Provides a bilingual English-Chinese dataset spanning varied fonts, sizes, and backgrounds.

Sources (1)

InnoText: A Unified Model for Visual Text Generation and Editing

arXiv cs.CV Haowei Liu, Runze He, Jian Lu, Ao Ma, Run Ling, Ke Cao, Jiasong Feng, Wei Feng, Shuo Lu, Yexing Xu, Yun Wang, Jing Wang, Zhanjie Zhang 2026-07-24 arXiv:2607.22101

TL;DR - InnoText is a unified diffusion-transformer model for generating and editing visual text, including small-scale and Chinese characters. It aims to improve legibility and consistency while replacing separate task-specific pipelines.

  • Uses one DiT-based framework for both visual text generation and editing.
  • Introduces font size-aware modulation and small-character augmentation to improve fine-grained text fidelity.
  • Applies a task-specific region-weighted loss for adaptive optimization.
  • Provides a bilingual English-Chinese dataset spanning varied fonts, sizes, and backgrounds.
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