Towards Spatially Disentangled Manipulation of Face Images With Pre-Trained StyleGANs
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DOI: 10.1109/tcsvt.2022.3213662
Abstract: Generative Adversarial Networks with style-based generators could successfully synthesize realistic images from input latent code. Moreover, recent studies have revealed that interpretable translations of generated images could be obtained by linearly traversing in the latent… read more here.
Keywords: style; style space; manipulation; face images ... See more keywords