  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.
