CustomText: Customized Textual Image Generation using Diffusion Models

Understand

Textual image generation spans diverse fields like advertising, education, product packaging, social media, information visualization, and branding.

• Despite recent strides in language-guided image synthesis using diffusion models, current models excel in image generation but struggle with accurate text rendering and offer limited control over font attributes.
• In this paper, we aim to enhance the synthesis of high-quality images with precise text customization, thereby contributing to the advancement of image generation models.
• We call our proposed method CustomText.