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[D] What is the state of the art for disentanglement?

I just found out about disentangled variational autoencoders and they seem pretty exciting to me.

I was wondering if there was something similar with GANs and so I searched and found this https://arxiv.org/abs/1906.06034 “InfoGAN-CR: Disentangling Generative Adversarial Networks with Contrastive Regularizers”.

What should I search for in order to find papers that have the best performance, or is there a new technique for disentanglement (or something along those lines)?

Thanks.

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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.