Seeing What a GAN Cannot Generate
© 2019 IEEE. Despite the success of Generative Adversarial Networks (GANs), mode collapse remains a serious issue during GAN training. To date, little work has focused on understanding and quantifying which modes have been dropped by a model. In this work, we visualize mode collapse at both the dist...
Format: | Article |
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Language: | English |
Published: |
IEEE,
2021-11-03T13:38:18Z.
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Subjects: | |
Online Access: | Get fulltext |