Recently visually-situated text parsing (VsTP) has experienced notable advancements
driven by the increasing demand for automated document understanding and the …

In recent years, end-to-end scene text spotting approaches are evolving to the Transformer-
based framework. While previous studies have shown the crucial importance of the intrinsic …

Due to the flexible representation of arbitrary-shaped scene text and simple pipeline, bottom-
up segmentation-based methods begin to be mainstream in real-time scene text detection …

Text-based visual question answering (TextVQA), which answers a visual question by
considering both visual contents and scene texts, has attracted increasing attention recently …

Visual text, a pivotal element in both document and scene images, speaks volumes and
attracts significant attention in the computer vision domain. Beyond visual text detection and …

Abstract Recent advanced Table Structure Recognition (TSR) models adopt image-to-text
solutions to parse table structure. These methods can be formulated as image caption …

More and more end-to-end text spotting methods based on Transformer architecture have
demonstrated superior performance. These methods utilize a bipartite graph matching …

Ambiguous scene text detection is an extremely challenging task. Existing text detectors that
rely solely on visual cues often suffer from confusion due to being evenly distributed in …

Scene text spotting is a challenging task, especially for inverse-like scene text, which has
complex layouts, eg, mirrored, symmetrical, or retro-flexed. In this paper, we propose a …

Diffusion models, known for their impressive image generation abilities, have played a
pivotal role in the rise of visual text generation. Nevertheless, existing visual text generation …