cGANs with Conditional Convolution Layer

3 Jun 2019Min-Cheol SagongYong-Goo ShinYoon-Jae YeoSeung ParkSung-Jea Ko

Conditional generative adversarial networks (cGANs) have been widely researched to generate class conditional images using a single generator. However, in the conventional cGANs techniques, it is still challenging for the generator to learn condition-specific features, since a standard convolutional layer with the same weights is used regardless of the condition... (read more)

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