Improving the Speed and Quality of GAN by Adversarial Training

7 Aug 2020 Jiachen Zhong Xuanqing Liu Cho-Jui Hsieh

Generative adversarial networks (GAN) have shown remarkable results in image generation tasks. High fidelity class-conditional GAN methods often rely on stabilization techniques by constraining the global Lipschitz continuity... (read more)

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