W-Net: One-Shot Arbitrary-Style Chinese Character Generation with Deep Neural Networks
Due to the huge category number, the sophisticated combinations of various strokes and radicals, and the free writing or printing styles, generating Chinese characters with diverse styles is always considered as a difficult task. In this paper, an efficient and generalized deep framework, namely, th...
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Published in | Neural Information Processing Vol. 11305; pp. 483 - 493 |
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Main Authors | , , , |
Format | Book Chapter |
Language | English |
Published |
Switzerland
Springer International Publishing AG
2018
Springer International Publishing |
Series | Lecture Notes in Computer Science |
Online Access | Get full text |
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