62 citations · 116 across the 20 of their papers we have counts for
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eess.IV2020★ 1 cited
A New Perspective on Stabilizing GANs training: Direct Adversarial Training
Ziqiang Li, Pengfei Xia, Rentuo Tao +2
Generative Adversarial Networks (GANs) are the most popular image generation models that have achieved remarkable progress on various computer vision tasks. However, training insta…
cs.LG2020★ 62 cited
A Systematic Survey of Regularization and Normalization in GANs
Ziqiang Li, Muhammad Usman, Rentuo Tao +4
Generative Adversarial Networks (GANs) have been widely applied in different scenarios thanks to the development of deep neural networks. The original GAN was proposed based on the…
cs.CV2020★ 2 cited
Interpreting the Latent Space of GANs via Correlation Analysis for Controllable Concept Manipulation
Ziqiang Li, Rentuo Tao, Hongjing Niu +1
Generative adversarial nets (GANs) have been successfully applied in many fields like image generation, inpainting, super-resolution and drug discovery, etc., by now, the inner pro…