Natural Scene Text Editing Based on AI

TL;DR

This paper presents a novel AI-based method for editing text directly within images of natural scenes, enabling precise modifications at the letter and digit level for improved scene interpretation.

Contribution

The paper introduces a two-part letters-digits network (LDN) that encodes, decodes, and transfers font styles for text editing in images, a novel approach in scene text manipulation.

Findings

Effective text editing at letter and digit level in images

Ability to transfer font styles between characters

Improved scene interpretation through text modification

Abstract

In a recorded situation, textual information is crucial for scene interpretation and decision making. The ability to edit text directly on images has a number of advantages, including error correction, text restoration, and image reusability. This research shows how to change image text at the letter and digits level. I devised a two-part letters-digits network (LDN) to encode and decode digital images, as well as learn and transfer the font style of the source characters to the target characters. This method allows you to update the uppercase letters, lowercase letters and digits in the picture.