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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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

METHOD

TYPE

GAN Least Squares Loss