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1 Ergebnisse
1
Cartoon-Flow: A Flow-Based Generative Adversarial Network f..:
, In:
Proceedings of the 30th ACM International Conference on Multimedia
,
Lee, Jieun
;
Kim, Hyeonwoo
;
Shim, Jonghwa
. - p. 1241-1251 , 2022
Link:
https://dl.acm.org/doi/10.1145/3503161.3548094
RT T1 <cTitle>Proceedings of the 30th ACM International Conference on Multimedia</cTitle>: T1 <Title>Cartoon-Flow: A Flow-Based Generative Adversarial Network for Arbitrary-Style Photo Cartoonization</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3548094&Exemplar=1&LAN=DE A1 Lee, Jieun A1 Kim, Hyeonwoo A1 Shim, Jonghwa A1 Hwang, Eenjun PB ACM YR 2022 K1 arbitrary style transfer K1 generative adversarial networks K1 photo cartoonization K1 Computing methodologies K1 Artificial intelligence K1 Computer vision K1 Computer vision tasks SP 1241 OP 1251 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3503161.3548094 DO https://dl.acm.org/doi/10.1145/3503161.3548094 SF ELIB - SuUB Bremen
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