no code implementations • EMNLP (Louhi) 2020 • Tarek Sakakini, Jong Yoon Lee, Aditya Duri, Renato F.L. Azevedo, Victor Sadauskas, Kuangxiao Gu, Suma Bhat, Dan Morrow, James Graumlich, Saqib Walayat, Mark Hasegawa-Johnson, Thomas Huang, Ann Willemsen-Dunlap, Donald Halpin
We also show the enhanced accuracy of our system over directly-supervised neural methods in this low-resource setting.
no code implementations • 21 Nov 2019 • Kuangxiao Gu, Yuqian Zhou, Thomas Huang
In this paper, We present a landmark driven two-stream network to generate faithful talking facial animation, in which more facial details are created, preserved and transferred from multiple source images instead of a single one.
1 code implementation • 19 Apr 2018 • Yuqian Zhou, Kuangxiao Gu, Thomas Huang
The newly proposed RepGAN is tested on MNIST, fashionMNIST, CelebA, and SVHN datasets to perform unsupervised classification, generation and reconstruction tasks.