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1 Ergebnisse
1
NoisyTwins: Class-Consistent and Diverse Image Generation T..:
, In:
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Rangwani, Harsh
;
Bansal, Lavish
;
Sharma, Kartik
... - p. 5987-5996 , 2023
Link:
https://doi.org/10.1109/CVPR52729.2023.00580
RT T1
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
: T1
NoisyTwins: Class-Consistent and Diverse Image Generation Through StyleGANs
UL https://suche.suub.uni-bremen.de/peid=ieee-10204772&Exemplar=1&LAN=DE A1 Rangwani, Harsh A1 Bansal, Lavish A1 Sharma, Kartik A1 Karmali, Tejan A1 Jampani, Varun A1 Babu, R. Venkatesh YR 2023 SN 2575-7075 K1 Degradation K1 Computer vision K1 Analytical models K1 Image synthesis K1 Extraterrestrial phenomena K1 Diversity methods K1 Aerospace electronics K1 Transfer K1 meta K1 low-shot K1 continual K1 or long-tail learning SP 5987 OP 5996 LK http://dx.doi.org/https://doi.org/10.1109/CVPR52729.2023.00580 DO https://doi.org/10.1109/CVPR52729.2023.00580 SF ELIB - SuUB Bremen
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