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аналитика - Few-shot Artistic Portraits Generation
CtlGAN: Few-shot Artistic Portraits Generation with Contrastive Transfer Learning
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.
CtlGAN: Few-shot Artistic Portraits Generation with Contrastive Transfer Learning
Proposing CtlGAN for few-shot artistic portraits generation with contrastive transfer learning to prevent overfitting and ensure high-quality results.
CtlGAN: Few-shot Artistic Portraits Generation with Contrastive Transfer Learning
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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