no code implementations • ICLR 2018 • Chi-Chun Chuang, Zheng-Xin Weng, Shan-Hung Wu
We propose the Self-Improving Collaborative GAN (SIC-GAN), where there are two generators (variational RNNs) collaborating with each other to output a sequence and aiming to trick the discriminator into believing the sequence is of good quality.
