OnomatoBridge: Onomatopoeia Translation and Rendering Pipeline in Manga

2026-09-17

AI Summary

本文提出OnomatoBridge方法解决漫画中拟声词翻译时风格不一致和残留问题，通过过滤管道提高英文文本正确性并减少日文残余。

Abstract

Manga is a comic drawn by black and white paints gaining popularity around the world. Onomatopoeia in Manga specifically appeals to the audience with its unique visual styles, which convey sound, motion, and emotion. Visual onomatopoeia translation requires the clean replacement of Japanese onomatopoeia with onomatopoeia in the other language while preserving their visual style. Existing approaches often produce residual artifacts or style inconsistency when removing the Japanese onomatopoeia and rendering stylized English onomatopoeia. To approach these problems, we present OnomatoBridge, a filtering pipeline for visual onomatopoeia translation. We evaluate OnomatoBridge from Japanese to English on the Manga109 onomatopoeia dataset and compare it with baseline image editing models. Experimental results show that the filtered outputs by the proposed method outperform those of conventional methods. OnomatoBridge improves English text correctness by roughly 10 to 25 points and reduces residual Japanese text by about 20 to 50% in relative terms.

Problem

• Onomatopoeia
• Translation
• Visual Style
• Residual Artifacts
• Style Inconsistency

Innovation

• Onomatopoeia Translation
• Visual Style Preservation
• Residual Artifacts Reduction