Improving GAN with neighbors embedding and gradient matching

4 Nov 2018Ngoc-Trung TranTuan-Anh BuiNgai-Man Cheung

We propose two new techniques for training Generative Adversarial Networks (GANs). Our objectives are to alleviate mode collapse in GAN and improve the quality of the generated samples... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.