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      Variational Grid Setting Network

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          Abstract

          We propose a new neural network architecture for automatic generation of missing characters in a Chinese font set. We call the neural network architecture the Variational Grid Setting Network which is based on the variational autoencoder (VAE) with some tweaks. The neural network model is able to generate missing characters relatively large in size (\(256 \times 256\) pixels). Moreover, we show that one can use very few samples for training data set, and get a satisfied result.

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          Author and article information

          Journal
          30 September 2017
          Article
          1710.01255
          47f0ec08-c39d-4373-9580-7e21b2ca10e2

          http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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          8 pages, 6 figures
          cs.CV

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