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

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