Anycost GANs for Interactive Image Synthesis and Editing
Author(s)
Lin, Ji; Zhang, Richard; Ganz, Frieder; Han, Song; Zhu, Jun-Yan
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Show full item recordDate issued
2021Department
Massachusetts Institute of Technology. Microsystems Technology Laboratories; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer ScienceJournal
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Lin, Ji, Zhang, Richard, Ganz, Frieder, Han, Song and Zhu, Jun-Yan. 2021. "Anycost GANs for Interactive Image Synthesis and Editing." 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Version: Author's final manuscript