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arXiv · 2006.04170

Realistic text replacement with non-uniform style conditioning

Arseny Nerinovsky·Igor Buzhinsky·Andey Filchencov
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Abstract

In this work, we study the possibility of realistic text replacement, the goal of which is to replace text present in the image with user-supplied text. The replacement should be performed in a way that will not allow distinguishing the resulting image from the original one. We achieve this goal by developing a novel non-uniform style conditioning layer and apply it to an encoder-decoder ResNet based architecture. The resulting model is a single-stage model, with no post-processing. The proposed model achieves realistic text replacement and outperforms existing approaches on ICDAR MLT.

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Arseny Nerinovsky, Igor Buzhinsky, Andey Filchencov. 2020-06-07. Realistic text replacement with non-uniform style conditioning. https://arxiv.org/abs/2006.04170

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