image-generation

Handwritten Word Generation

3260 papers • 126 benchmarks • 313 datasets

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Benchmarks

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Libraries

i

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Datasets

HKR

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Most implemented papers

DeepWriting: Making Digital Ink Editable via Deep Generative Modeling

Otmar Hilliges, Emre Aksan, Fabrizio Pece•Wed Jan 24 2018

This paper proposes a novel generative neural network architecture that is capable of disentangling style from content and thus making digital ink editable, and can synthesize arbitrary text, while giving users control over the visual appearance.

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GANwriting: Content-Conditioned Generation of Styled Handwritten Word Images

Marçal Rusiñol, Pau Riba, Alicia Forn'es, Lei Kang, Yaxing Wang, M. Villegas•Wed Mar 04 2020

This work proposes a novel method that is able to produce credible handwritten word images by conditioning the generative process with both calligraphic style features and textual content and significantly advance over prior art.

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