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Latent to Latent: A Learned Mapper for Identity Preserving ..:
, In:
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
,
Khodadadeh, Siavash
;
Ghadar, Shabnam
;
Motiian, Saeid
... - p. 3677-3685 , 2022
Link:
https://doi.org/10.1109/WACV51458.2022.00373
RT T1 <cTitle>2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)</cTitle>: T1 <Title>Latent to Latent: A Learned Mapper for Identity Preserving Editing of Multiple Face Attributes in StyleGAN-generated Images</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9706683&Exemplar=1&LAN=DE A1 Khodadadeh, Siavash A1 Ghadar, Shabnam A1 Motiian, Saeid A1 Lin, Wei-An A1 Boloni, Ladislau A1 Kalarot, Ratheesh YR 2022 SN 2642-9381 K1 Training K1 Computer vision K1 Image coding K1 Face recognition K1 Neural networks K1 Observers K1 Maintenance engineering K1 Deep Learning -> Neural Generative Models K1 Autoencoders K1 GANs Vision Systems and Applications SP 3677 OP 3685 LK http://dx.doi.org/https://doi.org/10.1109/WACV51458.2022.00373 DO https://doi.org/10.1109/WACV51458.2022.00373 SF ELIB - SuUB Bremen
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