Improving Diffusion Models for Scene Text Editing with Dual Encoders

Understand

Scene text editing is a challenging task that involves modifying or inserting specified texts in an image while maintaining its natural and realistic appearance.

• Most previous approaches to this task rely on style-transfer models that crop out text regions and feed them into image transfer models, such as GANs.
• However, these methods are limited in their ability to change text style and are unable to insert texts into images.
• Recent advances in diffusion models have shown promise in overcoming these limitations with text-conditional image editing.