most citedFTGAN: A Fully-trained Generative Adversarial Networks for Text to Face Generation

12 citations · 12 across the 1 of their papers we have counts for

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1 paper

cs.CV2019★ 12 cited

FTGAN: A Fully-trained Generative Adversarial Networks for Text to Face Generation

Xiang Chen, Lingbo Qing, Xiaohai He +2

As a sub-domain of text-to-image synthesis, text-to-face generation has huge potentials in public safety domain. With lack of dataset, there are almost no related research focusing…