CoDeGAN: Contrastive Disentanglement for Generative Adversarial Network

Jiangwei Zhao, Zejia Liu, Xiaohan Guo +1

Disentanglement, a critical concern in interpretable machine learning, has also garnered significant attention from the computer vision community. Many existing GAN-based class dis…