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

Generating artistic portraits is a challenging problem in computer vision. Existing portrait stylization models that generate good quality results are based on Image-to-Image Translation and require abundant data from both source and target domains.

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Yue Wang, Ran Yi, Ying Tai, Chengjie Wang, Lizhuang Ma (2024). Dataset: CtlGAN: Few-shot Artistic Portraits Generation with Contrastive Transfer Learning. https://doi.org/10.57702/5a91patt

DOI retrieved: December 16, 2024

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Created December 16, 2024
Last update December 16, 2024
Author Yue Wang
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Ran Yi
Ying Tai
Chengjie Wang
Lizhuang Ma