
The author proposes CtlGAN, a new model for few-shot artistic portraits generation, utilizing contrastive transfer learning and a novel encoder approach to achieve high-quality results.


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ctlgan-few-shot-artistic-portraits-generation-with-contrastive-transfer-learning


CtlGAN: Few-shot Artistic Portraits Generation with Contrastive Transfer Learning


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Proposing CtlGAN for few-shot artistic portraits generation with contrastive transfer learning to prevent overfitting and ensure high-quality results.



CtlGAN introduces a novel contrastive transfer learning strategy for generating high-quality artistic portraits from real face photos with no more than 10 training examples.
