Rewriting a Deep Generative Model
© 2020, Springer Nature Switzerland AG. A deep generative model such as a GAN learns to model a rich set of semantic and physical rules about the target distribution, but up to now, it has been obscure how such rules are encoded in the network, or how a rule could be changed. In this paper, we intro...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer International Publishing,
2021-11-05T19:21:45Z.
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| Subjects: | |
| Online Access: | Get fulltext |