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 …

Text images, such as scanned documents, certificates, and chat-box screenshots, are
commonly used for multimodal communication. However, the rise of advanced deep image …

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

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 …

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, diffusion-based image generation methods are credited for their remarkable text-to-
image generation capabilities, while still facing challenges in accurately generating …

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

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

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 …

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 …