“Towards End-To-End In-Image Neural Machine Translation”, 2020-10-20 (; similar):
In this paper, we offer a preliminary investigation into the task of in-image machine translation: transforming an image containing text in one language into an image containing the same text in another language.
We propose an end-to-end neural model for this task inspired by recent approaches to neural machine translation, and:
demonstrate promising initial results based purely on pixel-level supervision. We then offer a quantitative and qualitative evaluation of our system outputs and discuss some common failure modes.
Finally, we conclude with directions for future work.