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Found 2 papers, 2 papers with code
StyleDomain: Efficient and Lightweight Parameterizations of StyleGAN for One-shot and Few-shot Domain Adaptation
As a result of this study, we propose new efficient and lightweight parameterizations of StyleGAN for domain adaptation.
HyperDomainNet: Universal Domain Adaptation for Generative Adversarial Networks
We apply this parameterization to the state-of-art domain adaptation methods and show that it has almost the same expressiveness as the full parameter space.
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