Existing optical character recognition (OCR) methods rely on task-specific designs with
divergent paradigms, architectures, and training strategies, which significantly increases the …

Scene text segmentation aims at cropping texts from scene images, which is usually used to
help generative models edit or remove texts. The existing text segmentation methods tend to …

The Segment Anything Model (SAM), a profound vision foundation model pre-trained on a
large-scale dataset, breaks the boundaries of general segmentation and sparks various …

Accurate text segmentation results are crucial for text-related generative tasks, such as text
image generation, text editing, text removal, and text style transfer. Recently, some scene …