TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network

19 Mar 2017Ayushman DashJohn Cristian Borges GamboaSheraz AhmedMarcus LiwickiMuhammad Zeshan Afzal

In this work, we present the Text Conditioned Auxiliary Classifier Generative Adversarial Network, (TAC-GAN) a text to image Generative Adversarial Network (GAN) for synthesizing images from their text descriptions. Former approaches have tried to condition the generative process on the textual data; but allying it to the usage of class information, known to diversify the generated samples and improve their structural coherence, has not been explored... (read more)

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