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HyperNST: Hyper-Networks for Neural Style Transfer. (arXiv:2208.04807v1 [cs.CV])
Aug. 10, 2022, 1:12 a.m. | Dan Ruta, Andrew Gilbert, Saeid Motiian, Baldo Faieta, Zhe Lin, John Collomosse
cs.CV updates on arXiv.org arxiv.org
We present HyperNST; a neural style transfer (NST) technique for the artistic
stylization of images, based on Hyper-networks and the StyleGAN2 architecture.
Our contribution is a novel method for inducing style transfer parameterized by
a metric space, pre-trained for style-based visual search (SBVS). We show for
the first time that such space may be used to drive NST, enabling the
application and interpolation of styles from an SBVS system. The technical
contribution is a hyper-network that predicts weight updates to …
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