Cross Domain Image Generation through Latent Space Exploration with Adversarial Loss

24 May 2018 Yingjing Lu

Conditional domain generation is a good way to interactively control sample generation process of deep generative models. However, once a conditional generative model has been created, it is often expensive to allow it to adapt to new conditional controls, especially the network structure is relatively deep... (read more)

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