Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks

CVPR 2019 Minyoung Huh Shao-Hua Sun Ning Zhang

We propose feedback adversarial learning (FAL) framework that can improve existing generative adversarial networks by leveraging spatial feedback from the discriminator. We formulate the generation task as a recurrent framework, in which the discriminator's feedback is integrated into the feedforward path of the generation process... (read more)

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