A self-prompting MM-DiT model performs open-vocabulary scene text editing by extracting style and glyph information from the original image without extra encoders.
Thaiocrbench: A task-diverse benchmark for vision-language understanding in thai
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Self-Prompting Diffusion Transformer for Open-Vocabulary Scene Text Editing via In-Context Learning
A self-prompting MM-DiT model performs open-vocabulary scene text editing by extracting style and glyph information from the original image without extra encoders.