GAN Compression: Efficient Architectures for Interactive Conditional GANs

GAN Compression: Efficient Architectures for Interactive Conditional GANs

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Bibliographic Details
Main Authors: Li, Muyang, Lin, Ji, Ding, Yaoyao, Liu, Zhijian, Zhu, Jun-Yan, Han, Song
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2022
Online Access:https://hdl.handle.net/1721.1/143671

Internet

https://hdl.handle.net/1721.1/143671

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