A two-stage framework, HCIIT, uses chain-of-thought prompting with a multimodal LLM for image-aware translation and a style-conditioned diffusion model to backfill translated text while preserving background and font style.
Cross-lingual visual pre-training for multimodal machine translation,
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Ensuring Consistency for In-Image Translation
A two-stage framework, HCIIT, uses chain-of-thought prompting with a multimodal LLM for image-aware translation and a style-conditioned diffusion model to backfill translated text while preserving background and font style.