RoCGAN: Robust Conditional GAN
RoCGAN: Robust Conditional GAN
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Author / Creator
Publisher
New York: Springer US
Journal title
Language
English
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Publication information
Publisher
New York: Springer US
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Scope and Contents
Contents
Conditional image generation lies at the heart of computer vision and conditional generative adversarial networks (cGAN) have recently become the method of choice for this task, owing to their superior performance. The focus so far has largely been on performance improvement, with little effort in making cGANs more robust to noise. However, the reg...
Alternative Titles
Full title
RoCGAN: Robust Conditional GAN
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_gale_infotracacademiconefile_A636368447
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_gale_infotracacademiconefile_A636368447
Other Identifiers
ISSN
0920-5691
E-ISSN
1573-1405
DOI
10.1007/s11263-020-01348-5
