Unsupervised Approach for GAN Interpretability Through Semantic Direction Discovery

Unsupervised Approach for GAN Interpretability Through Semantic Direction Discovery

The first unsupervised learning approach for identifying interpretable semantic directions in the latent space of GAN models.

2 mentions: @Synced_Global
Keywords: gan
Date: 2020/02/12 19:11

Referring Tweets

@Synced_Global A paper published this week by researchers from @yandexcom and @HSE_eng introduces the first unsupervised learning approach for identifying interpretable semantic directions in the latent space of #GAN models. #DeepLearning #AI #research t.co/X8mDnuQcab

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