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STEFANN: Scene Text Editor using Font Adaptive Neural Network
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<span title="2020-04-25">2020</span>
<i >
arXiv
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We propose two different neural network architectures - (a) FANnet to achieve structural consistency with source font and (b) Colornet to preserve source color. ...
Textual information in a captured scene plays an important role in scene interpretation and decision making. ...
Font Adaptive Neural Network (FANnet) Our generative font adaptive neural network (FANnet) takes two different inputs -an image of the source character of size 64 × 64 and a one-hot encoding v of length ...
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TextStyleBrush: Transfer of Text Aesthetics from a Single Example
[article]
<span title="2021-06-15">2021</span>
<i >
arXiv
</i>
<span class="release-stage" >pre-print</span>
a pre-trained font classifier and text recognizer. ...
We show results in different text domains which were previously handled by specialized methods, e.g., scene text, handwritten text. ...
Finally, STEFANN [10] recently proposed a font adaptive neural network that replaces individual characters in the source image using a target alphabet. ...
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Deep Learning-based Forgery Attack on Document Images
<span title="2021-02-01">2021</span>
To achieve this goal, the limitations of existing text editing algorithms towards complicated characters and complex background are addressed by a set of network design strategies. ...
With the ongoing popularization of online services, the digital document images have been used in various applications. ...
[3] designed a Scene Text Editor using Font Adaptive Neural Network (STEFANN) to edit texts in scene images. ...
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