Gradient normalization for generative adversarial networks
Published in ICCV, 2021
In this paper, we propose a novel normalization method called gradient normalization (GN) to tackle the training instability of Generative Adversarial Networks (GANs) caused by the sharp gradient space.
Recommended citation: Wu, Y.L., Shuai, H.H., Tam, Z.R., & Chiu, H.Y. (2021). “Gradient normalization for generative adversarial networks.” ICCV, 6373-6382.
Recommended citation: Wu, Y.L., Shuai, H.H., Tam, Z.R., & Chiu, H.Y. (2021). "Gradient normalization for generative adversarial networks." ICCV, 6373-6382.
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