Scene text removal (STR), a task of erasing text from natural scene images, has recently
attracted attention as an important component of editing text or concealing private …

Scene text removal (STR) contains two processes: text localization and background
reconstruction. Through integrating both processes into a single network, previous methods …

Recent learning-based approaches show promising performance improvement for the
scene text removal task but usually leave several remnants of text and provide visually …

Scene text removal (STR) is a challenging task due to the complex text fonts, colors, sizes,
and background textures in scene images. However, most previous methods learn both text …

Scene text removal (STR) aims at replacing text strokes in natural scenes with visually
coherent backgrounds. Recent STR approaches rely on iterative refinements or explicit text …

The scene text removal (STR) is to substitute visually realistic backgrounds for text regions.
Due to the diversity of scene text and the intricacy of backgrounds, earlier STR approaches …

The scene text removal (STR) task aims to remove text regions and recover the background
smoothly in images for private information protection. Most existing STR methods adopt …

Scene text removal is a challenging task that aims to erase wild text regions that include text
strokes and their ambiguous boundaries, such as embossing, shade, or flare. The …

Scene text erasing, which replaces text regions with reasonable content in natural images,
has drawn significant attention in the computer vision community in recent years. There are …

Scene text removal has attracted increasing research interests owing to its valuable
applications in privacy protection, camera-based virtual reality translation, and image …