Intercategorical Label Interpolation for Emotional Face Generation with Conditional Generative Adversarial Networks. (arXiv:2204.12237v1 [cs.CV])

Generative adversarial networks offer the possibility to generate deceptively
real images that are almost indistinguishable from actual photographs. Such
systems however rely on the presence of large datasets to realistically
replicate the corresponding domain. This is especially a problem if not only
random new images are to be generated, but specific (continuous) features are
to be co-modeled. A particularly important use case in \emph{Human-Computer
Interaction} (HCI) research is the generation of emotional images of human
faces, which can be used …

arxiv cv face generation generative adversarial networks networks