StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding

16 Dec 2020 Jinshan Zeng Qi Chen Yunxin Liu Mingwen Wang Yuan YAO

The generation of stylish Chinese fonts is an important problem involved in many applications. Most of existing generation methods are based on the deep generative models, particularly, the generative adversarial networks (GAN) based models... (read more)

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Methods used in the Paper


METHOD TYPE
GAN Least Squares Loss
Loss Functions
Residual Connection
Skip Connections
Tanh Activation
Activation Functions
ReLU
Activation Functions
PatchGAN
Discriminators
Convolution
Convolutions
Instance Normalization
Normalization
Cycle Consistency Loss
Loss Functions
Sigmoid Activation
Activation Functions
Leaky ReLU
Activation Functions
Batch Normalization
Normalization
Residual Block
Skip Connection Blocks
CycleGAN
Generative Models