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In this paper, we propose MAGICSTYLEGAN and MAGICSTYLEGAN-ADA - both incarnations of the state-of-the-art models StyleGan2 and StyleGan2 ADA - to experiment with their capacity of transfer learning into a rather different domain: creating new illustr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::840e2abd799bc244f02df12fde3278a6
http://arxiv.org/abs/2205.14442
http://arxiv.org/abs/2205.14442
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. :1-1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::310639b98c8ee25f845c2d0f5e34c0ff
https://doi.org/10.1109/tim.2023.3273658
https://doi.org/10.1109/tim.2023.3273658
