Diverse Image Generation via Self-Conditioned GANs
© 2020 IEEE. We introduce a simple but effective unsupervised method for generating diverse images. We train a class-conditional GAN model without using manually annotated class labels. Instead, our model is conditional on labels automatically derived from clustering in the discriminator's feat...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE),
2021-11-05T19:32:43Z.
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| Subjects: | |
| Online Access: | Get fulltext |