Adversarial Learning of Semantic Relevance in Text to Image Synthesis

Miriam Cha, Youngjune L. Gwon, H. T. Kung

We describe a new approach that improves the training of generative adversarial nets (GANs) for synthesizing diverse images from a text input. Our approach is based on the conditio…