AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation.
Bing LiYuanlue ZhuYitong WangChia-Wen LinBernard GhanemLinlin ShenPublished in: IEEE Trans. Multim. (2022)
Keyphrases
- unsupervised learning
- social networks
- generative model
- data driven
- face images
- network structure
- human faces
- multi agent
- semi supervised
- generation process
- community detection
- computer networks
- network topologies
- probability distribution
- heterogeneous networks
- power law
- keypoints
- complex systems
- data sets
- expectation maximization
- graphical models
- supervised learning
- facial expressions