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...
| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
IEEE,
2021-12-15T13:50:27Z.
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| Subjects: | |
| Online Access: | Get fulltext |