Papers Read on AI

JoJoGAN: One Shot Face Stylization


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While there have been recent advances in few-shot image stylization, these methods fail to capture stylistic details that are obvious to humans. Details such as the shape of the eyes, the boldness of the lines, are especially difficult for a model to learn, especially so under a limited data setting. In this work, we aim to perform oneshot image stylization that gets the details right.
2021: Min Jin Chong, David Forsyth
https://arxiv.org/pdf/2112.11641v1.pdf
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