2024
Learning Discriminative Style Representations for Unsupervised and Few-Shot Artistic Portrait Drawing Generation
ICASSP 2024accepted
In this paper, we propose an unsupervised artistic portrait drawing generation method for few-shot datasets based on contrastive learning of style features. Firstly, we construct a discriminative style encoder with contrastive learning, improving the ability of the encoder to separate style features…