no code implementations • 16 Aug 2019 • Weiquan Mao, Beicheng Lou, Jiyao Yuan
In this paper, we introduce a tunable generative adversary network (TunaGAN) that uses an auxiliary network on top of existing generator networks (Style-GAN) to modify high-resolution face images according to user's high-level instructions, with good qualitative and quantitative performance.