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1
Improving the Fairness of the Min-Max Game in GANs Training:
, In:
2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
,
Zhang, Zhaoyu
;
Hua, Yang
;
Wang, Hui
. - p. 2898-2907 , 2024
Link:
https://doi.org/10.1109/WACV57701.2024.00289
RT T1 <cTitle>2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)</cTitle>: T1 <Title>Improving the Fairness of the Min-Max Game in GANs Training</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10483766&Exemplar=1&LAN=DE A1 Zhang, Zhaoyu A1 Hua, Yang A1 Wang, Hui A1 McLoone, Sean YR 2024 SN 2642-9381 K1 Training K1 Computer vision K1 Codes K1 Games K1 Generative adversarial networks K1 Data augmentation K1 Generators K1 Algorithms K1 Generative models for image K1 video K1 3D K1 etc K1 Computational photography K1 image and video synthesis SP 2898 OP 2907 LK http://dx.doi.org/https://doi.org/10.1109/WACV57701.2024.00289 DO https://doi.org/10.1109/WACV57701.2024.00289 SF ELIB - SuUB Bremen
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