Rewriting a Deep Generative Model

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...

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Bibliographic Details
Main Authors: Bau, D, Liu, S, Wang, T, Zhu, JY, Torralba, A
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: Springer International Publishing 2021
Online Access:https://hdl.handle.net/1721.1/137596

Internet

https://hdl.handle.net/1721.1/137596

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