Unsupervised Projection Networks for Generative Adversarial Networks

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Oct 06, 2019
Daiyaan Arfeen, Jesse Zhang
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We propose the use of unsupervised learning to train projection networks that project onto the latent space of an already trained generator. We apply our method to a trained StyleGAN, and use our projection network to perform image super-resolution and clustering of images into semantically identifiable groups.

* 6 Pages, 8 Figures, ICCV 2019 Workshop: Sensing, Understanding and Synthesizing Humans  
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