18 citations · 34 across the 5 of their papers we have counts for
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cs.LG2020★ 1 cited
InfoMax-GAN: Improved Adversarial Image Generation via Information Maximization and Contrastive Learning
Kwot Sin Lee, Ngoc-Trung Tran, Ngai-Man Cheung
While Generative Adversarial Networks (GANs) are fundamental to many generative modelling applications, they suffer from numerous issues. In this work, we propose a principled fram…
cs.CV2020★ 18 cited
Mimicry: Towards the Reproducibility of GAN Research
Kwot Sin Lee, Christopher Town
Advancing the state of Generative Adversarial Networks (GANs) research requires one to make careful and accurate comparisons with existing works. Yet, this is often difficult to ac…