A Survey and Taxonomy of Adversarial Neural Networks for Text-to-Image Synthesis

21 Oct 2019Jorge AgneseJonathan HerreraHaicheng TaoXingquan Zhu

Text-to-image synthesis refers to computational methods which translate human written textual descriptions, in the form of keywords or sentences, into images with similar semantic meaning to the text. In earlier research, image synthesis relied mainly on word to image correlation analysis combined with supervised methods to find best alignment of the visual content matching to the text... (read more)

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