1. U-gat-it: Unsupervised generative attentional networks with adaptive layer-instance normalization for image-to-image translation;kim;International Conference on Learning Representations,0
2. Separating Style and Content for Generalized Style Transfer
3. Dg-font: Deformable generative networks for unsupervised font generation;li;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,0
4. Learning to Compose Stylistic Calligraphy Artwork with Emotions
5. Generating handwritten chinese characters using cycle-gan;bo;2018 IEEE Winter Conference on Applications of Computer Vision (WACV),0