With the rise and development of deep learning, computer vision has been tremendously
transformed and reshaped. As an important research area in computer vision, scene text …

Artistic text generation aims to amplify the aesthetic qualities of text while maintaining
readability. It can make the text more attractive and better convey its expression, thus …

Automatic font generation remains a challenging research issue due to the large amounts of
characters with complicated structures. Typically, only a few samples can serve as the …

Recently, tampered text detection in document image has attracted increasingly attention
due to its essential role on information security. However, detecting visually consistent …

Scene text images contain not only style information (font background) but also content
information (character texture). Different scene text tasks need different information but …

Handwritten Text Recognition has achieved an impressive performance in public
benchmarks. However, due to the high inter-and intra-class variability between handwriting …

Diffusion model based language-guided image editing has achieved great success recently.
However, existing state-of-the-art diffusion models struggle with rendering correct text and …

We present a novel approach for disentangling the content of a text image from all aspects of
its appearance. The appearance representation we derive can then be applied to new …

Scene text editing (STE) aims to replace text with the desired one while preserving
background and styles of the original text. However, due to the complicated background …

Text manipulation technologies cause serious worries in recent years, however,
corresponding tampering detection methods have not been well explored. In this paper, we …