AnimGAN: A Spatiotemporally-Conditioned Generative Adversarial Network for Character Animation

no code implementations • 23 May 2020 • Maryam Sadat Mirzaei, Kourosh Meshgi, Etienne Frigo, Toyoaki Nishida

We proposed a spatiotemporally-conditioned GAN that generates a sequence that is similar to a given sequence in terms of semantics and spatiotemporal dynamics.

Generative Adversarial Network