GlyphGAN: Style-Consistent Font Generation Based on Generative Adversarial Networks.
Hideaki HayashiKohtaro AbeSeiichi UchidaPublished in: CoRR (2019)
Keyphrases
- multi agent
- computer networks
- social networks
- network structure
- network parameters
- community detection
- network analysis
- character recognition
- unsupervised learning
- generative model
- bayesian networks
- data driven
- object recognition
- image sequences
- network model
- globally optimal
- generation process
- consistency constraints
- case study