Unsupervised Discovery of Interpretable Directions in the GAN Latent Space

ICML 2020 Andrey VoynovArtem Babenko

The latent spaces of GAN models often have semantically meaningful directions. Moving in these directions corresponds to human-interpretable image transformations, such as zooming or recoloring, enabling a more controllable generation process... (read more)

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