TextPainter: Multimodal Text Image Generation with Visual-harmony and Text-comprehension for Poster Design

Understand

Text design is one of the most critical procedures in poster design, as it relies heavily on the creativity and expertise of humans to design text images considering the visual harmony and text-semantic.

• This study introduces TextPainter, a novel multimodal approach that leverages contextual visual information and corresponding text semantics to generate text images.
• Specifically, TextPainter takes the global-local background image as a hint of style and guides the text image generation with visual harmony.
• Furthermore, we leverage the language model and introduce a text comprehension module to achieve both sentence-level and word-level style variations.