Restoring Latent Vectors From Generative Adversarial Networks Using Genetic Algorithms
نویسندگان
چکیده
منابع مشابه
Precise Recovery of Latent Vectors from Generative Adversarial Networks
Generative adversarial networks (GANs) transform latent vectors into visually plausible images. It is generally thought that the original GAN formulation gives no out-of-the-box method to reverse the mapping, projecting images back into latent space. We introduce a simple, gradient-based technique called stochastic clipping. In experiments, for images generated by the GAN, we precisely recover ...
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2020
ISSN: 2169-3536
DOI: 10.1109/access.2020.3035674