1 code implementation • 4 Dec 2021 • Mengyu Dai, Haibin Hang, Xiaoyang Guo
Training of generative models especially Generative Adversarial Networks can easily diverge in low-data setting.
no code implementations • 8 Sep 2021 • Mengyu Dai, Haibin Hang, Anuj Srivastava
The study of multidimensional discriminator (critic) output for Generative Adversarial Networks has been underexplored in the literature.
2 code implementations • ICCV 2021 • Mengyu Dai, Haibin Hang
We propose a manifold matching approach to generative models which includes a distribution generator (or data generator) and a metric generator.