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Ben Belson
Dec 20, 2021
In Deep Learning
Hey Tomer, me and Bar Firuan would like to explore the mentioned subject for the course project. it is a simple technique to analyze Generative Adversarial Networks (GANs) and create interpretable controls for image synthesis, such as change of viewpoint, aging, lighting, and time of day. Thanks! GitHub - harskish/ganspace: Discovering Interpretable GAN Controls [NeurIPS 2020]
GANSpace: Discovering Interpretable GAN Controls content media
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Ben Belson

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