Self-Prompting Diffusion Transformer for Open-Vocabulary Scene Text Editing via In-Context Learning

ArXi:2605.15523v1 Announce Type: new Scene text editing aims to modify text in a target region of an image while preserving surrounding background style and texture. Existing methods rely solely on image background information while neglecting the visual details of target regions, which discards stylistic features in the original text and essentially degrades the task to text rendering. Moreover, the conditions imposed by pre-trained glyph encoder limit the scope of editable text.