When Relation Networks meet GANs: Relation GANs with Triplet Loss

1 code implementation • 24 Feb 2020 • Runmin Wu, Kunyao Zhang, Lijun Wang, Yue Wang, Pingping Zhang, Huchuan Lu, Yizhou Yu

Though recent research has achieved remarkable progress in generating realistic images with generative adversarial networks (GANs), the lack of training stability is still a lingering concern of most GANs, especially on high-resolution inputs and complex datasets.

Conditional Image Generation Relation +2