Learning by competing: Competitive multi-generator based adversarial learning

Ibrahim Kajo, Mohamed Kas, Abderrazak Chahi, Yassine Ruichek

Abstract: Highlights•Design a novel adversarial learning strategy for generative adversarial networks.•The proposed strategy enhances the generations performed by multiple generators.•Provide a competitive environment for the generators to compete with each other.•Networks trained following this strategy performs well in image generation.